Research Publications:

 

AUTHORED BOOKS

 

1)

S. K. Pal, S. S. Ray and A. Ganivada, Granular Neural Networks, Pattern Recognition and Bioinformatics,  Series:  Studies in Computational Intelligence, ISBN: 978-3-319-57115-7 (ebook); ISBN: 978-3-319-57113-3 (hardcover); Series ISSN: 1860-949X, Springer Verlag, Heidelberg, Germany .

2)

P. Maji and S. K. Pal, Rough Fuzzy Pattern Recognition: Application in Bioinformatics and Medical Imaging, John Wiley, N.Y. , 2012.

3)

 M. K Chakraborty: Goedel-er Asampurnata Tatva, A Book on Godels Incompleteness Theorem in Bengali Language, Nandimukh Samsad, Kolkata, 2012.

4)

S. Bandyopadhyay and S. K. Pal, Classification and Learning using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence, ISBN 978-3-540-49606-9, Springer-Verlag, Hiedelberg, Germany, 2007.

 

EDITED BOOKS

 

1)

S. K. Pal and S. Mishra (eds.), Handbook of Soft Computing Applications in Sensor Networks, CRC Press, Boca Raton FL, USA (in press).

2)

A. Pal and S. K. Pal  (eds.), Pattern Recognition and Big Data, World Scientific, ISBN No. 978-981-3144-54-5, Singapore,  2017.

3)

S. Misra and S. K. Pal (eds.), Soft Computing Applications in Sensor Networks, Chapman & Hall/CRC, Boca Raton, Florida, p. 284,  ISBN No. 13: 978-1-4822-9875-8, 2017.

4)

K. Ghosh (eds.), Computational Intelligence and Networks (CINE), Proceedings of 2016 International Conference,  IEEE, Print ISBN: 978-0-7695-5745-7, 2016. 

5)

M. K. Kundu, S. Chaudhury, S. Mitra, D. Mazumdar and S. K. Pal (eds.), Perception and Machine Intelligence, Proceedings of the 2nd International Conference on Perception and Machine Intelligence, PerMIn 2015, ACM, New York, NY, US, 2015.

6)

K. Ghosh (eds.), Computational Intelligence and Networks (CINE), Proceedings of 2015 International Conference,  IEEE, Print ISBN: 978-1-4799-7549-5, 2015.

7)

P. Maji, A. Ghosh, M. N. Murty, K. Ghosh, S. K. Pal (eds.), Pattern Recognition and Machine Intelligence, Proceedings of 5th International Conference on Pattern Recognition and Machine Intelligence (PReMI'13), LNCS, vol. 8251, Springer, ISBN 978-3-642-45062-4, 2013.

8)

M. K. Kundu, S. Mitra, D. Mazumdar and S. K. Pal (eds.), Perception and Machine Intelligence, LNCS Vol. 7143, ISBN: 978-3-642-27386-5, Springer-Verlag Berlin Heidelberg, 2 012.

9)

S. K. Pal, A. Petrosino and L. Maddalena (eds.), Handbook on Soft Computing for Video Surveillance, Chapman & Hall/CRC, Boca Raton, Florida, 2012.

10)

M. Mitra, M. K. Chakraborty, and S. Sarukkai, (eds.), Studies in Logic: a Dialogue between the east and the west (Homage to Bimal Krishna Maitlal), Munshiram Manoharlal Publishers, New Delhi, 2012.

11)

S. O. Kuzentsov, D. P. Mandal, M. K. Kundu and S. K. Pal (eds.), Pattern Recognition and Machine Intelligence, LNCS  6744, Springer-Verlag, Berlin, Heidelberg, 2011.

12)

D. Slezak, S. K. Pal, B.- H. Kang, J. Gu, H. Kuroda and T.- H  Kim (eds.), Signal Processing, Image Processing and Pattern Recognition, Springer-Verlag, Berlin, Heidelberg, 2010.

13)

S. K. Pal and J. F. Peters (eds.), Rough-fuzzy Image Analysis: Foundations and Methods, Chapman & Hall/CRC, Boca Raton, Florida, 2010.

14)

S. Chaudhury, S. Mitra, C. A. Murthy, Sastry P.S. and S. K. Pal (eds.), Pattern Recognition and Machine Intelligence, Springer-Verlag, Berlin, Heidelberg, 2009.

15)

V. D. Gesu, S. K. Pal and A. Petrosino (eds.), Fuzzy Logic and Applications, Springer-Verlag, Berlin, Heidelberg, 2009.

16)

A. Ghosh, S. Dehuri and S. Ghosh (eds.), Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, ISBN  978-3-540-77466-2, Springer, 2008.

17)

A. Ghosh, R. K. De and S. K. Pal (eds.), Pattern Recognition and Machine Intelligence, LNCS  4815, Springer, 2007.

 

JOURNAL PAPERS

 

1)

D. Mazumdar, S. Mitra, K. Ghosh and K. Bhaumik, "A DOG filter model of the occurrence of Mach bands on spatial contrast discontinuities", Biological Cybernetics, (accepted).

2)

B. Dey and M. K. Kundu, "Enhanced macroblock features for dynamic background modeling in H.264/AVC video encoded at low-bitrate", IEEE Transactions on Circuits and Systems for Video Technology,  DOI10.1109/TCSVT.2016.2614984.

3)

S. K. Pal and D. Bhunia Chakraborty, "Granular flow graph, adaptive rule generation and tracking", IEEE Transactions on Cybernetics, DOI:10.1109/tycb.2016.2600271.

4)

S. Das, "A random forest algorithm for nowcasting of intense precipitation events", Advances in Space Research, DOI: 101016/j.asr.2017.03.026.

5)

J. K. Pal, S. S. Ray, S. S. Chow and S. K. Pal "Fuzzy-rough entropy measure and histogram based patient selection for miRNA ranking in cancer", IEEE/ACM Trans. Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2016.2623605.

6)

R. Banerjee and S. K. Pal,  "A computational model for the endogenous arousal of thoughts through Z*-numbers", Information Sciences, 405, pp. 227-258, 2017.

7)

A. Datta, S. Ghosh and A. Ghosh, "Unsupervised band extraction for hyperspectral images using clustering and kernel principal component analysis", International Journal of Remote Sensing, 38(3), pp. 850-873, 2017. 

8)

A. Datta, S. Ghosh and A. Ghosh, "Supervised band extraction of hyperspectral images using partitioned maximum margin criterion", IEEE Geosciences and Remote Sensing Letters, 14(1), pp. 82-86, 2017. 

9)

H. Kalia, , S. Dehuri, A. Ghosh and S. B. Cho, "On the mining of fuzzy association rules using multi-objective genetic algorithms", International Journal of Data Mining, Modelling and Management, 18(1), pp. 1-31, 2016.

10)

S. Das and A. Maitra, "Characterization of tropical precipitation using drop size distribution and rain rate-radar reflectivity relation", Theoretical and Applied Climatology, DOI: 10.1007/s00704-017-2073-1, 2016.

11)

S. Das and D. Ghosh, "Dependency of rain integral parameters on specific rain drop sizes and its seasonal behaviour", Journal of Atmospheric and Solar-Terrestrial Physics, 149, pp. 15-20, 2016.

12)

B. N. Subudhi, V. Thangaraj, E. Sankaralingam and A. Ghosh, "Tumor or abnormality identification from magnetic resonance images using statistical region fusion based segmentation", Magnetic Resonance Imaging, 34(9), pp. 1292-1304, 2016.

13)

S. S. Ray, A. Ganivada, and S. K. Pal, "A granular self-organizing map for clustering and gene selection in microarray Data", IEEE Trans. Neural Networks and Learning Systems, 27(9), pp. 1890-1906, 2016. 

14)

S. K. Pal, "50 years of fuzzy sets: data to knowledge", (Prof. S.N. Mitra Memorial Award Lecture - 2015), Annals of the Indian National Academy of Engineering,  vol. XIII, pp. 25-34, 2016.

15)

A. Bakshi, S. Roy, A. Mallick, K. Ghosh, "Limitations of the oriented difference of Gaussian filter in special cases of brightness perception illusions", Perception, 45 (3), pp. 328-336, 2016.

16)

J. K. Pal, S. S. Ray and S. K. Pal, "Identifying relevant group of miRNAs in cancer using fuzzy mutual information", Medical & Biological Engineering & Computing, Springer, 54 (4), pp. 701-710, 2016 .

17)

A. H. El-Baz, A. S. Tolba and S. K. Pal, "Robust boosted parameter based combined classifier for rotation invariant texture classification", Applied Artificial Intelligence, Taylor & Francis, 30 (2), pp. 77-96, 2016.

18)

D. Bhattacharyya, A. Bakshi, and K. Ghosh, "Comparisons between an HVS inspired linear filter and the bilateral filter in performing 'vision at a glance' through smoothing with edge preservation", International Journal of Image and Graphics, 15 (4), pp. 15500-15, 2015.

19)

D. Bhunia Chakraborty and S. K. Pal, "Neighborhood granules and rough rule-base in tracking", Natural Computing, Springer, (Special Issue on Pattern Recognition and Mining), (DOI: 10.1007/s11047-015-9493-6), 2015.

20)

B. Dey and M. K. Kundu, "Efficient foreground extraction from HEVC compressed video for application to real-time analysis of surveillance 'Big' Data", IEEE Transactions on Image Processing,  24 (11), pp. 3574-3585, 2015.

21)

M. Roy, F. Melgani, A. Ghosh, E. Blanzieri and S. Ghosh, "Land-cover classification of remotely sensed images using compressive sensing having severe scarcity of labeled patterns", IEEE Geosciences and Remote  Sensing Letters, 12 (6), pp. 1257-1261, 2015.

22)

S. K. Pal, S. K. Meher  and A. Skowron, "Data Science, Big Data and Granular Mining", Pattern Recognition Letters, 67, part 2, pp.109-112, 2015.

23)

P. Mahanta, D. K. Bhattacharyya and A. Ghosh, "MICPE: An MI-based protein complex extraction technique," Journal of Biosciences, 40 (4), pp. 701-708, 2015.

24)

A. Datta, S. Ghosh and A. Ghosh, "Combination of clustering and ranking techniques for unsupervised band selection of hyperspectral images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8 (6), pp. 2814-2823, 2015.

25)

R. Banerjee and S. K. Pal,  "Text comprehension and the computational mind agencies", Natural Computing, Springer, (Special Issue on Information Granulation) (DOI: 10.1007/s11047-014-9478-x), 2015.

26)

R. Banerjee and S.K. Pal, "Z*-numbers: Augmented Z-numbers for Machine-subjectivity Representation", Information Sciences, vol. 323, pp. 143-178, 2015.

27)

S. Kundu and S. K. Pal, "Fuzzy-rough community in social networks", Pattern Recognition Letters (Special Issue on Granular Mining and Knowledge Discovery), vol. 67, part - 2, pp. 145-152, 2015.

28)

S. Kundu and S.K. Pal, "Deprecation based greedy strategy for target set selection in large scale social networks", Information Sciences, 316, pp. 107-122, 2015.

29)

S. Kundu and S.K. Pal, "FGSN: Fuzzy Granular Social Networks - Model and Applications", Information Sciences, 314, pp. 100-117, 2015.

30)

P. Mahanta, D. K. Bhattacharyya and A. Ghosh, "FUMET: A fuzzy network module extraction technique for gene expression data", Journal of Biosciences, 39 (3) pp. 351-364, 2014.

31)

F. M. Lopes, S. S. Ray, R. F. Hashimoto, and R. M. Cesar, "Entropic biological score: a cell cycle investigation for GRNs inference", Gene, 541 (2), pp. 129-137, 2014.

32)

S. Chattopadhyay, C. A. Murthy and S. K. Pal,  "Fitting truncated geometric distributions in large scale real world networks", Theoretical Computer Science, 551, pp. 22-38, 2014.

33)

H. Kalia, S. Dehuri, S. Ghosh and A. Ghosh, "A comprehensive survey of multi-objective genetic and fuzzy approaches in rule mining problem of knowledge discovery in databases",  International Journal of Information Technology, Communications and Convergence, 3 (1), pp. 13-45, 2014.

34)

M. Roy, S. Ghosh and A. Ghosh, "A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system",  Information Sciences, 269, pp. 35-47, 2014.

35)

M. Roy, S. Ghosh and A. Ghosh, "A neural approach under active learning mode for change detection in remotely sensed images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (4), pp. 1200-1206, 2014.

36)

S. K. Pal, S. Kundu and C. A. Murthy, "Centrality measures, upper bound and influence maximization in large scale directed social networks", Fundamenta Informaticae , 130 (3), pp. 317-342, 2014.

37)

A. Datta, S. Ghosh and A. Ghosh, "Band elimination of hyperspectral imagery using partitioned band image correlation and capacitory discrimination", International Journal of Remote Sensing, 35, pp. 554-577, 2014.

38)

S. Ghosh, M. Roy, and A. Ghosh, "Semi-supervised change detection using modified self-organizing feature map neural network", Applied Soft Computing, 15, pp. 1-20, 2014.

39)

M. Roy, D. Routray, S.Ghosh and A. Ghosh, "Ensemble of multilayer perceptrons for change detection in remotely sensed images", IEEE Geosciences and Remote Sensing Letters, 11, pp. 49-53, 2014.

40)

M. K. Chakraborty, "Membership function based rough set", Int. Journal of Approximate Reasoning, 55 (1), pp. 402- 411, 2014.

41)

A. Albanese, S. K. Pal and A. Petrosino, "Rough Set, Kernel Set and Spatio-Temporal Outlier Detection", IEEE Trans. Knowledge and Data Engineering, 26 (1), pp. 194-207, 2014.

42)

M. K. Chakraborty and S. Sirker, "Nest of the mystery bird, symmetry", Culture and Science, 24, pp. 27-31, 2013.

43)

S. Dutta and M. K. Chakraborty, "Graded consequence with fuzzy set of premises", Fundamenta Informaticae, 130, 2013.

44)

A. Halder, S. Ghosh and A. Ghosh,  "Aggregation pheromone metaphor for semi-supervised classification", Pattern Recognition,  46, pp. 2239--2248, 2013.

45)

B. Dey and M. K. Kundu, "Robust background subtraction for network surveillance in H. 264 streaming video", IEEE Transactions on Circuits and Systems for Video Technology, 23 (10), pp. 1695-1703, 2013.

46)

S. D. Jabeen, "Split and discard strategy, A new approach for constrained global optimization" International Journal of Artificial intelligence Tools, 22 (4), p. 1350023, 2013.

47)

H. Kalia, S. Dehuri and A. Ghosh, "A survey on fuzzy association rule mining", International Journal of Data Warehousing and Mining (IJDWM),  9, pp. 1-27, 2013.

48)

S. Dehuri and A. Ghosh, "Revisiting evolutionary algorithms for feature selection and non-fuzzy/fuzzy rule based classification", Data Mining and Knowledge Discovery, 3, pp. 83-108, 2013.

49)

B. Nath, D. K. Bhattacharyya and A. Ghosh, "Incremental association rule mining: a survey", WIREs Data Mining and Knowledge Discovery , 3, pp. 157-169, 2013.

50)

M. Roy, S. Ghosh, and A. Ghosh, "Change detection in remotely sensed images using semi-supervised clustering algorithms", International Journal of Knowledge Engineering and Soft Data Paradigms, 4, pp.118-137, 2013.

51)

D. Sen, N. Gupta and S. K. Pal, "Incorporating local image structure in normalized cut based graph partitioning for grouping of pixels", Information Sciences,  248, pp. 214-238, 2013.

52)

S. Poddar, S. Tewary, D. Sharma, V. Karar, A. Ghosh and S. K. Pal, "Nonparametric modified histogram equalization for contrast enhancement", IET Image Processing, 7 (7), pp. 641-652, 2013.

53)

J. K. Pal, S. S. Ray and S. K. Pal, "A Weighted Threshold for detection of Cancerous miRNA Expressions", Fundamenta Informaticae, 127 (1-4),  pp. 289--305, 2013.

54)

S. S. Ray and S. K. Pal, "RNA secondary structure prediction using soft computing", IEEE/ACM Trans. Computational Biology and Bioinformatics, 10 (1), pp. 2-17, 2013.

55)

A. Ganivada, S. S. Ray, and S. K. Pal, "Fuzzy rough sets, and a granular neural network for unsupervised feature selection" Neural Networks, 48, pp. 91-108, 2013.

56)

S. K. Pal and D. Chakraborty, "Unsupervised tracking roughness and quantitative indices", Fundamenta Informaticae (Special Issue on Cognitive Informatics and Computational Intelligence), 124 (1-2), pp. 63-90, 2013.

57)

S. K. Pal, R. Banerjee, S. Dutta and S. Sen Sarma,  "An insight into the Z-number approach to CWW", Fundamenta Informaticae, 124 (1-2), pp 197-229, 2013.

58)

S. K. Pal and R. Banerjee, "Context-granulation and subjective-information-quantification", Theoretical Computer Science, 448, pp. 2-14, 2013.

59)

S. K. Pal and S. K. Meher, "Natural computing: A problem solving paradigm with granular information processing", Applied Soft Computing, 13 (9), pp. 3944-3955, 2013.

60)

D. Chakraborty, B. Uma Sankar and S. K. Pal, "Granulation, rough entropy and spatiotemporal  Moving Object Detection", Applied Soft Computing, 13 (9), pp. 4001-4009, 2013.

61)

S. S. Ray, J. K. Pal and S. K. Pal, "Computational approaches for identifying cancer miRNA expressions", Gene Expression, 15(5-6), pp. 243-253, 2013.

62)

S. Ghosh and S. Mitra,  "Clustering large data with uncertainty", Applied Soft Computing, 13, pp. 1639-1645, 2013.

63)

A. Ghosh, A. Datta, and S. Ghosh,  "Self-adaptive differential evolution for feature selection in hyperspectral image data", Applied Soft Computing, 13(4), pp. 1969-1977, 2013.

64)

A. Bakshi and  K. Ghosh, "Some insights into why the perception of Mach bands is strong for luminance ramps and weak or vanishing for luminance steps", Perception, vol. 41, pp. 1403-1408, 2012.

65)

K. Ghosh, “A possible role and basis of visual pathway selection in brightness  induction”, Seeing and Perceiving, 25(2), 179-212, 2012.

66)

A. Phadikar, S. P. Maity, and M. K. Kundu, "Image error concealment based on QIM data hiding in deal tree complex wavelets", International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), 10(2), pp. 1250016 (30 pages), 2012.

67)

N. Mishra, S. Ghosh, and A. Ghosh, "Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images", Applied Soft Computing, 12, pp. 2683-2692, 2012.

68)

S. Dehuri, R. Roy, S. B. Cho, and A. Ghosh, "An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification", Journal of Systems and Software, 85, pp. 1333-1345, 2012.

69)

S. Mitra and S. Ghosh, "Feature selection and clustering of gene expression profiles using biological knowledge", IEEE Trans. on Systems, Man and Cybernetics, Part C: Applications and Reviews, 42(6), pp. 1590-1599, 2012 .

70)

D. Bhandari, C. A. Murthy, and S. K. Pal, "Variance as a stopping criterion for genetic algorithms with elitist model", Fundamenta Informaticae, 120 (2), pp. 145-164, 2012.

71)

S. K. Pal, "Granular mining and rough-fuzzy pattern recognition: a way to natural computation", (Feature Article), IEEE Intelligent Informatics Bulletin, 13 (1), pp. 3-13, 2012.

72)

A. Ganivada, S. S. Ray and S. K. Pal, "Fuzzy rough granular self-organizing map and fuzzy rough entropy", Theoretical Computer Science, 466, pp. 37-63, 2012.

73)

L. Chowdhury and  M. K. Chakraborty, "On representing open universe", Studies in Logic, 5 (1), pp. 57-73, 2012.

74)

M. K. Kundu, M. Chowdhury, and M. Banerjee, "Interactive image retrieval using M-band wavelet, earth mover's distance and fuzzy relevance feedback", International Journal of Machine Learning and Cybernetic (IJMLC), Online Version: DOI 10.1007/s13042-011-0062-8-2012, vol. 3(4), pp. 285-296, 2012.

75)

S. S. Ray, S. Bandyopadhyay and S. K. Pal, "A weighted power framework for integrating multi-source information: gene function prediction in yeast", IEEE Trans. Biomedical Engineering, 59 (4), pp. 1162-1168, 2012.

76)

S. K. Pal, S. K. Meher and S. Dutta, "Class-dependent rough-fuzzy granular space, dispersion index and classification", Pattern Recognition, 45 (7), pp. 2690-2707, 2012.

77)

D. Sen and S. K. Pal, "Improving feature space based image segmentation via density modification", Information Sciences, 191, pp. 169-191, 2012.

78)

S. P. Mishra, S. Dehuri, R. Mall and A. Ghosh, "Parallel single and multiple objectives genetic algorithms: a survey", International Journal of Applied Evolutionary Computation, 2, pp. 21-57, 2011.

79)

H. Kalia, S. Dehuri,  and  A. Ghosh, "Multi-objective genetic algorithms for classification rule mining: a survey", The IUP Journal of Information Technology, 7, pp. 7-34, 2011.

80)

B. Uma Shankar,  S. K. Meher, and A. Ghosh, "Wavelet-fuzzy-hybridization: feature-extraction and land-cover classification of remote sensing images", Applied Soft Computing, 11, pp. 2099-3011, 2011.

81)

S. Patra, S. Ghosh and A. Ghosh, "Histogram thresholding for unsupervised change detection of remote sensing images", International Journal of Remote Sensing 32 (21), pp. 6071-6089, 2011.

82)

A. Ganivada and S.K. Pal, "A novel fuzzy rough granular neural network for classification", Special Issue in International Journal in Computational Intelligence Systems 4 (5), pp. 1042-1051, 2011.

83)

S. K. Meher and S. K. Pal, "Rough-wavelet granular space and classification of multispectral remote sensing image", Applied Soft Computing (Elsevier) 11 (8), pp. 5662-5673, 2011.

84)

A. Halder, A. Ghosh and S. Ghosh, "Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems", Applied Soft Computing (Elsevier), 11 (8), pp. 5770-5781, 2011.

85)

D. Sen and S. K. Pal, "Automatic exact histogram specification for contrast enhancement and visual system based quantitative evaluation", IEEE Transactions on Image Processing, 20 (5), pp. 1211-1220, 2011.

86)

A. Ganivada, S. Dutta and S. K. Pal, "Fuzzy rough granular neural networks, fuzzy granules and classification", Theoretical Computer Science, Special issue on Rough Sets and Fuzzy Sets in Natural Computing, 412 (42), pp. 5834-5853, 2011.

87)

S. P. Maity and M. K. Kundu, "Perceptually adaptive spread transform image watermarking scheme using Hadamard transform," Information Sciences, 181, pp. 450-465, 2011.

88)

P. Samanta and M. K. Chakraborty, "Generalized rough sets and implication lattices," LNCS Trans. on Rough Set, 6600, pp. 183-201, 2011.

89)

Soma Dutta and M. K. Chakraborty, "Negation and paraconsistent logics," Logica Universalis, 5 (1), pp. 165-176, 2011.

90)

S. Dehuri, B. Misra, A. Ghosh and S.-B. Cho, "A condensed polynomial neural network for classification using swarm intelligence," Applied Soft Computing, 11, pp. 3106-3113, 2011.

91)

A. Ghosh, N. S. Mishra and S. Ghosh, "Fuzzy clustering algorithms for unsupervised change detection in remote sensing images," Information Sciences, 181, pp. 699-715, 2011.

92)

P. Maji and S. K. Pal, "Feature selection using f-information measures in fuzzy approximation spaces,"  IEEE Trans . on Knowledge and Data Engineering,  22 (6), pp. 854-867, 2010.

93)

P. Maji and S. K. Pal, "Fuzzy-rough sets for information measures and selection of relevant genes from microarray data," IEEE Trans . on Systems, Man, and Cybernetics B, 40 (3), pp. 741-752, 2010

94)

K. Ghosh and S. K. Pal, "Some insights into brightness perception of images in the light of a new computational model of figure-ground segregation," IEEE Trans. on Systems, Man, and Cybernetics A, 40 (4), pp. 758-766, 2010.

95)

S. Saha, C. A. Murthy and S. K. Pal, "A novel split and merge technique for hypertext classification", LNCS Trans. on Rough Set,  6190, pp. 192-210, 2010.

96)

S. Saha, C. A. Murthy and S. K. Pal, "Application of rough ensemble classifier to web services categorization and focused crawling", Web Intelligence and Agent Systems, 8(2), pp. 181-202, 2010.

97)

D. Sen and S. K. Pal, "Gradient histogram: thresholding in a region of interest for edge detection", Image and Vision Computing, 28 (4), pp. 677-695, 2010.

98)

S. Mitra, W. Pedrycz and B. Barman, "Shadowed c-means: integrating fuzzy and rough clustering", Pattern Recognition, 43(4), pp. 1282-1291, 2010.

99)

K. Ghosh and K. Bhaumik, "Complexity in human perception of brightness: a historical review on the evolution of the philosophy of visual perception", Online Journal of Biological Sciences, 10(1), p. 17, 2010.

100)

S. Saha, C. A. Murthy and S. K. Pal, "Tensor framework and combined symmetry for hypertext mining", Fundamenta Informaticae, 97(1-2), pp. 215-234, 2009.

101)

S. K. Pal, "Computational theory perception (CTP), rough-fuzzy uncertainity analysis and mining in bioinformatics  and web intelligence: a unified framework ", LNCS Trans. on Rough Set, 5946, 106-129, 2009.

102)

M. Banerjee, M. K. Kundu and P. Maji, "Content-based image retrieval using visually significant point features", Fuzzy Sets and Systems, 160 (23), pp. 3323-3341, 2009.

103)

A. Halder, A. Ghosh and S. Ghosh, "Aggregation pheromone density based pattern classification",  Fundamenta Informaticae, 92 (4), pp. 345-362, 2009.

104)

A. Ghosh, S. K. Meher and B. Uma Shankar, "A novel approach to neuro-fuzzy classification", Neural Networks, 22,  pp. 100-109, 2009.

105)

S. Ghosh, S. Patra & A. Ghosh, "An unsupervised context-sensitive change detection technique based on modified self-organizing feature map neural network", International Journal of Approximate Reasoning, 50, pp. 37-50, 2009.

106)

S. Ghosh, M. Kothari, A. Halder and A. Ghosh, "Use of aggregation pheromone density for image segmentation", Pattern Recognition Letters, 30, pp. 939-949, 2009.

107)

D. Sen, and S. K. Pal, "Generalized rough sets, entropy and image ambiguity measures", IEEE Trans. on System, Man and Cybernetics -Part B, 39(1), pp. 117-128, 2009.

108)

D. Sen and S .K. Pal, "Histogram thresholding using fuzzy and rough measures of association error", IEEE Trans. on Image Processing, 18(4), pp. 879-888, 2009.

109)

S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Combining multi-source information through functional annotation based weighting: gene function prediction in yeast", IEEE Trans. on Biomedical Engineering, 56 (2), pp. 229-236, 2009. (The article is included in the Saccharomyces Genome Database (SGD) as a curated paper).

110)

S. P. Maity and M. K. Kundu, "Dual purpose spread spectrum image watermarking in real time", International Journal of Computers & Electrical Engineering  (Special Issue on Real-Time Security and Copyright Protection of Multimedia), 35(2), pp. 415-433, 2009.

111)

S. Mitra, R. Das, H. Banka and S. Mukhopadhyay, "Gene interaction - an evolutionary biclustering approach", Information Fusion, 10 (3), pp. 242-249, 2009.

112)

K. Ghosh, S. Sarkar and K. Bhaumik, "A possible mechanism of stochastic resonance in the light of an extra classical receptive field model of retinal ganglion cells", Biological Cybernetics, 100, p. 351, 2009.

113)

S. P. Maity and M. K. Kundu, "Genetic algorithms for optimality of data hiding in digital images", Soft Computing :A Fusion of Foundations, Methodologies and Applications (Special issue on Bio-Inspired Information Hiding, 13(4), pp. 361-373, 2009.

114)

P. Maji and S. K. Pal, "Maximum class separability for rough-fuzzy c-means based brain MR image segmentation", LNCS Trans. on Rough Sets, 5390, pp. 114-134, 2008.

115)

B. Nath, D. K. Bhattacharyya and A. Ghosh, "Faster generation of association rules", International Journal of Information Technology and Knowledge Management, 1, pp. 267-279, 2008.

116)

A. Ghosh, S. K. Meher and B. Uma Shankar, "A novel fuzzy classifier based on product aggregation operator" , Pattern Recognition, 41, pp. 961-971, 2008.

117)

M. Banerjee and M. K. Kundu, "Handling of impreciseness in gray level corner detection using fuzzy set theoretic approach", Applied Soft Computing, 8(4), pp.1680-1691, 2008.

118)

M. K. Chakraborty and S. Ghosh, "Nonmonotonic logics and algebras", Journal of CQUPT ,20(3), pp. 355-360, 2008.

119)

S. Dehuri, A. Ghosh and S. B. Cho, "Particle swarm optimized polynomial neural network for classification: a multi-objective view", International Journal of Intelligent Defence Support Systems, 1(3), pp. 225-253, 2008.

120)

A. Ghosh, A. Halder, M. Kothari and S. Ghosh "Aggregation pheromone density based data clustering", Information Sciences (Elsevier), 178, pp. 2816-2831, 2008.

121)

J. van Benthem, S. Ghosh and F. Liu, "Modelling simultaneous games in dynamic logic", Knowledge, Rationality and Action, Synthese, 165(2),  pp. 247-268, 2008.

122)

S. Patra, S. Ghosh   and A. Ghosh, "Change detection of remote sensing images with semi-supervised multilayer perceptron", Fundamenta Informaticae, 84(3/4), pp. 429-442, 2008.

123)

A. Ghosh and M. K. Das, "Non-dominated rank based sorting genetic algorithm", Fundamenta Informaticae,  83(3), pp. 231-152, 2008.

124)

P. Maji, M. K. Kundu and B. Chanda, "Second order fuzzy measure and weighted co-occurrence matrix for segmentation of brain MR images", Fundamenta Informaticae, 88(1-2), pp. 161-176, 2008.

125)

S. Dehuri, S. Patnaik, A. Ghosh and R. Mall, "Application of elitist multi-objective genetic algorithm in classification rule generation" Applied Soft Computing, 8, pp. 477-487, 2008.

126)

K. Ghosh, S. Sarkar and K. Bhaumik, "A theory of 'fuzzy' edge detection in the light of human visual system", Journal of Intelligent Systems,17, p. 229, 2008.

127)

K. Ghosh, K. Bhaumik and S. Sarkar, "Retinomorphic image processing", Progress in Brain Research, 168, p.175, 2008.

128)

N. Ben, Q. Yang, S.C.K. Shiu and S.K. Pal, "Two Dimensional Laplacianfaces Method for Face Recognition", Pattern Recognition, vol. 41, no. 10, pp. 3237-3243, 2008.

129)

S. Dehuri, A. Ghosh and R. Mall, "Evolving functional link artificial neural network for classification in data mining", Journal of Systems, Science and Engineering, 15(2), pp. 34-41, 2007.

130)

P. Kanungo, P. K. Nanda and A. Ghosh, "Classification of objects and background using parallel genetic algorithm based clustering", Electronic Letters on Computer Vision and Image Analysis, 6(3), pp. 42-53, 2007.

131)

S. Dehuri, A. Ghosh and R. Mall, "Parallel multi-objective genetic algorithm for classification rule mining", IETE Journal of Research, 53(5), pp. 475-483, 2007.

132)

P. Maji and S. K. Pal, "Rough set based generalized fuzzy c-means algorithm and quantitative indices", IEEE Trans. on Systems, Man and Cybernetics: Part-B, 37(6), pp. 1529-1540, 2007.

133)

S. S. Ray, S. Bandyopadhyay, and S. K. Pal, "Gene ordering in partitive clustering using microarray expressions", Journal of Biosciences,  32(5), pp. 1-7, 2007.

134)

A. K. Deb, Jayadeva, M. Gopal and S. Chandra, "SVM based tree type neural networks as critic in adaptive critic designs for control". IEEE Trans. on Neural Networks,  18(4), pp. 1016-1030, 2007.

135)

P. Maji and S. K. Pal, "Rough-fuzzy c-medoids algorithm and selection of bio-basis for amino acid sequence analysis", IEEE Trans. on Knowledge and Data Engineering, 19(6), pp. 859-872, 2007.

136)

P. Maji and S. K. Pal, "Protein sequence analysis using relational soft clustering algorithms", International Journal of Computer Mathematics, 84(5), pp. 599-617, 2007.

137)

S. Mitra and H. Banka, "Application of rough sets in pattern recognition", Trans. on Rough Sets VII , pp. 151-169, 2007.

138)

S. Ghosh, L. Bruzzone, S. Patra, F. Bovolo and A. Ghosh, "A context-sensitive technique for unsupervised change detection based on hopfield type neural networks", IEEE Trans. on Geoscience and Remote Sensing,  45(3), pp. 778-789, 2007.

139)

S. P. Maity, M. K. Kundu and T. S. Das, "Robust SS watermarking with improved capacity", Pattern Recognition Letters, 28, pp. 350-356, 2007.

140)

P. Maji and S. K. Pal, "RFCM: A hybrid clustering algorithm using rough and fuzzy sets", Fundamenta Informaticae,  80, pp. 1-22, 2007.

141)

S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Genetic operators for combinatorial optimization in TSP and microarray gene ordering", Applied Intelligence,  26(3), pp. 183-195, 2007.

142)

S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Dynamic range based distance measure for microarray expressions and a fast gene ordering algorithm", IEEE Trans. on Systems, Man and Cybernetics: Part-B,  37(3), pp. 742-749, 2007. 

143)

S. Saha, C. A. Murthy and S. K. Pal, "Rough set based ensemble classifier for web page classification", Fundamenta Informaticae, 76(1-2), pp. 171-187, 2007.

144)

D. Sen and S. K. Pal, "Histogram thresholding using beam theory and ambiguity measures", Fundamenta Informaticae, 75 (1-4), pp. 483-504, 2007.

145)

S. Dehuri, A. Ghosh, and R. Mall, "Genetic algorithm for multi-criterion classification and clustering in data mining", International Journal of Computing and Information Sciences, 4, pp. 143-154, 2006.

146)

S. Dehuri, A. K. Jagadev, A. Ghosh and R. Mall, "Multi-objective genetic algorithm for association rule mining using a homogeneous dedicated cluster of workstations", American Journal of Applied Sciences, 3, pp. 2086-2095, 2006.

147)

H. Banka and S. Mitra, "Evolutionary biclustering of gene expressions", ACM Ubiquity,  7(42), 2006.

148)

A. Bishnu, B. B. Bhattacharya, M. K. Kundu, C. A. Murthy and T. Acharya, "A pipeline architecture for computing the euler number of a binary image", Journal of Systems Architecture , 51, pp. 470-487, 2005.

 

BOOK CHAPTERS

 
1)

A. Ganivada, S. S. Ray and S. K. Pal, "Fuzzy rough granular neural networks for pattern analysis", in  Pattern Recognition and Big Data,, S. K. Pal and A. Pal (eds.), World Scientific, Singapore, pp. 487-512, 2017.

2)

R. Banerjee and S. K. Pal, "A machine-mind architecture and Z*-numbers for real-world comprehension", in  Pattern Recognition and Big Data, S. K. Pal and A. Pal (eds.), World Scientific, Singapore,  pp. 807-744, 2017.

3)

A. Pal and S. K. Pal, "Pattern Recognition: Evolution, Mining and Big Data", in  Pattern Recognition and Big Data, S. K. Pal and A. Pal (eds.), World Scientific, Singapore,  pp. 1-36, 2017.

4)

S. K. Pal and S. Kundu, "Granular social network: model and applications", in  Handbook of Big Data Technologies, A. Zomaya and S. Sakr (eds.), Springer, pp. 617-651, 2017.

5)

S. K. Das, S. Bera, S. Misra and S. K. Pal, "Introduction to Wireless Sensor Networks, Soft Computing Applications in Sensor Netwroks", in Soft Computing Applications in Sensor Networks, S. Misra and S. K. Pal (eds.), Chapman & Hall/CRC, Boca Raton, Florida, pp. 3-20, 2017.

6)

B. N. Subudhi, S. Ghosh and A. Ghosh, "Moving object detection using multi-layer Markov Random Field Model", in  Pattern Recognition and Big Data, S. K. Pal and A. Pal (eds.), World Scientific, Singapore,  pp. 687-711, 2017.

7)

S. K. Pal,"Playing with fuzziness and ambiguity in patterns-challenges and achievements", in The Mind of an Engineer, P. Ghosh and B. Raj (eds.), Springer, Singapore, pp. 363-374, 2016.

8)

D. M. Jr., F. M. Lopes and S. S. Ray, "Inference of gene regulatory networks by topological prior information and data integration", in  Emerging Research in the Analysis and Modeling of Gene Regulatory Networks, I. V. Ivanov, X. Qian and R. Pal (eds.), IGI Global, Hershey, Pennsylvania,  pp. 1-51, 2016.

9)

R. Banerjee and S. K. Pal, "On Z-numbers and the machine-mind for natural language comprehension", in  Fifty Years of Fuzzy Logic and its Applications, D. E. Tamir, D. Rishe and A. Kandel (eds.), Springer, vol. 326, pp. 415-457, 2015.

10)

A. Bakshi  and K. Ghosh,"Perceiving and Modelling Brightness Contradictions through the Study of Brightness Illusions", In: New Directions in Paraconsistent Logic, Jean-Yves et al. (ED.), Springer Proceedings in Mathematics and Statistics, 152, ISBN 978-81-322-2717-5, 2015.

11)

M. Dutta, S. Basu, and M. K. Chakraborty,"Many-Valued Logics and Graded Consequence: A Comparative Appraisal", in Logic and its Applications, K. Lodaya (eds.), Springer, pp. 197-209, 2013.

12)

S. K. Pal and R. Banerjee,  "The Z-Number enigma: A study through an experiment", in Soft Computing: State of the Art Theory and Novel Applications, R. Yager and M. Reformat (eds.), Springer, pp. 71-88, 2013.

13)

M. Banerjee, S. Bandyopadhyay and S. K. Pal, "A clustering approach to image retrieval using range based query and Mahalanobis distance", in Rough Sets and Intelligent Systems, ISRL 43, A. Skowron and Z. Suraj (eds.), Springer-Verlag Berlin Heidelberg, pp. 79-91, 2013.

14)

A. Skowron, M. K. Chakraborty, J. Grzymala-Buse, V. Marek, S. K. Pal, J. F. Peters, G. Rozenberg, D. Slezak, R. Slowinski, S. Tsumoto, A. Wakulicz-Deja, G. Wang and W. Ziarko, "Professor Zdzislaw Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence", in Rough Sets and Intelligent Systems, A. Skowron and Z. Suraj (eds.), Springer-Verlag Berlin Heidelberg, pp. 1-56, 2013.

15)

S. K. Pal, "Encounters with fuzziness and ambiguity in patterns - a memorable journey", in On Fuzziness Homage to Lofti A. Zadeh, R. Seising, E. Trillas, C. Moraga and S. Termini (eds.), Springer, pp. 507-517, 2012.

16)

S. K. Pal, "F-granulation, generalized rough entropy and image analysis", in Science: Image in Action, B. Zavidovique and G. Lo Bosco (eds.), World Scientific, Singapore, pp. 45-63, 2012.

17)

A. Ferone, S. K. Pal and A. Petrosino, "The role of soft computing in image analysis: rough-fuzzy approach", in Handbook on Soft Computing for Video Surveillance, Chapman & Hall/CRC, Boca Raton, Florida, pp. 33-58, 2012.

18)

 

 

R. Pal, A. Ghosh and, S. K. Pal, "Video summarization and significance of content: A review", in Handbook on Soft Computing for Video Surveillance, Chapman & Hall/CRC, Boca Raton, Florida, pp. 79-102, 2012.

19)

M. K. Chakraborty, "On fuzzy sets and rough sets from the perspective of indiscernibility ", in Logic and its Applications, Mohua Banerjee and Anil Seth (eds.), LNAI, Springer, Vol. 6521, pp. 22-37, 2011.

20)

M. K. Chakraborty, Foreward of the Book, "Revisiting Principia Mathematica after 100 years", Kumar Mitra, Sanjukta Basu (eds.), Gangchil, Kolkata, 2011.

21)

D. Sen and S.K. Pal, "Image thresholding using generalized rough sets", in Rough Fuzzy Image Analysis: Foundations and Methodologies, S. K. Pal and J. F. Peters (eds.), Chapman & Hall / CRC Mathematical and Computational Imaging Sciences Series, pp. 3.1-3.29, 2010.

22)

J. F. Peters and S.K. Pal, "Cantor, fuzzy, near and rough sets in image analysis", in Rough Fuzzy Image Analysis: Foundations and Methodologies, S.K. Pal and J.F. Peters (eds.), Chapman & Hall / CRC Mathematical and Computational Imaging Sciences Series, pp. 1.1-1.15, 2010.

23)

P. Maji and S.K. Pal, "Rough-fuzzy clustering algorithm for segmentation and brain MR images", in Rough Fuzzy Image Analysis: Foundations and Methodologies, S.K. Pal and J.F. Peters (eds.), Chapman & Hall / CRC Mathematical and Computational Imaging Sciences Series, pp. 2.1-2.21, 2010.

24)

P. Kanungo, P. K. Nanda and A. Ghosh, "Parallel genetic algorithm based clustering for object and background classification in machine interpretation of patterns", in Machine Interpretation of Patterns Image Analysis and Data Mining, R. K. De, D. P. Mandal and A. Ghosh (eds.), World Scientific, 2010.

25)

S. Ghosh and S. Mitra, "Incorporating fuzziness to CLARANS" in Pattern Recognition and Machine Intelligence,  S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry and S. K. Pal (eds.), LNCS, Berlin : Springer Verlag, Vol. 5909, pp. 122-127, 2009.

26)

S. Patra, S. Ghosh and A. Ghosh, "Unsupervised context-sensitive change detection techniques based on self-organizing feature map neural network" in Advances in Intelligent Information Processing: Tools and Applications, B. Chanda and C. A. Murthy (eds.), World Scientific Press, pp. 105-125, 2008.

27)

P. Maji and S. K. Pal, "Rough-Fuzzy Hybridization for Protein Sequence Analysis", in Advances in Intelligent Information Processing: Tools and Applications,  B. Chanda and C. A. Murthy (eds.), World Scientific Press, 2008.

28)

S. Dehuri, S. Ghosh and A. Ghosh, "Genetic algorithm for optimization of multiple objectives in knowledge discovery from large databases" in Multi-objective Evolutionary Algorithms for Knowledge Discovery from Databases,  A. Ghosh, S. Dehuri and S. Ghosh (eds.), Springer, pp. 1-22, 2008.

29)

K. Ghosh and S. K. Pal, "Attention in Early Vision: Some Psychophysical Insights", in Attention in Cognitive Systems,  L. Paletta and E. Rome (eds.), LNAI, Springer, Berlin, Vol. 4840,  2008.

30)

R. Das, S. Mitra, H. Banka and S. Mukhopadhyay, "Evolutionary biclustering with correlation for gene interaction networks" in Pattern Recognition and Machine Intelligence,  A. Ghosh, R. K. De and S. K. Pal (eds.), LNCS, Berlin: Springer Verlag, vol. 4815, pp. 416-424, 2007.

31)

S. Ghosh, S. Patra and A. Ghosh, "Unsupervised change detection in remote-sensing images : a neural  approach" in Speech, Audio, Image and Biomedical Signal Processing using Neural  Networks,  B. Prasad and S. R. Mahadeva Prasanna (eds.), Springer, pp. 239-264, 2007.

32)

K. Ghosh, S. Sarkar and K. Bhaumik, "The Theory of Edge Detection and Low-level Vision in Retrospect", in Vision Systems: Segmentation and Pattern Recognition, I-TECH Education and Publishing, Vienna, Austria, ISBN 978-3-902613-05-9, 2007.

 

CONFERENCE PAPERS

 

1)

K. Ghosh, "A neural network based model of M and P LGN cells", IEEE Proceedings, International Conference on Bioinformatics and Systems Biology (BSB-16), Indian Institute of Information Technology, Allahabad, India, pp. 1-6, 2016.

2)

S. Das,"Variability of critical rain drop diameter and its effect on rain attenuation and radar reflectivity", 2016 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC), Seoul, South Korea, pp. 1737-1740, 2016. doi: 10.1109/URSIAP-RASC.2016.7601359 (IEEExplore).

3)

K. Ghosh,   A. Bakshi,  S. Roy, and A. Mallick, "Attention as a new parameter in modeling brightness induction”, 39th European Conference on Visual Perception (ECVP 2016), Pion , University of Barcelona,  Perception 45(S2) ECVP Abstract Supplement, p.134, 2016.

4)

A. Khatua, K. Ghosh  and N. Chaki "Temporal and spatial analysis of ebola otbreak using online search pattern and microblogging data", Conference on Complex Systems, Amsterdam, The Netherlands, Abstract Supplement, p.361, 2016.

5)

A. Paul, A. Mukherjee Paul and K. Ghosh, "Communication converging towards adaptive intelligence: a survey", Proceedings of 2nd International Conference on Computational Intelligence and Networks (CINE 2016), IEEE, KIIT University, Bhubaneswar, India, pp. 3-12, 2015.

6)

K. Ghosh,  A. Mallick, S. Roy and A. Bakshi, "Limitations of the ODOG filter in special cases of brightness perception illusions", 38th European Conference on Visual Perception(ECVP 2015) , University of Liverpool, Pion, Perception,  44(Sl) ECVP Abstract Supplement, p.252, 2015.

7)

A. Roy, A. K. Maiti, and K. Ghosh, "A perception based color image adaptive watermarking scheme in YCbCr space, ", Proc. of 2nd International Conference on Signal Processing and Integrated Networks (SPIN), IEEE, pp. 537-543, 2015.

8)

A. Datta, S. Ghosh and A. Ghosh, "Maximum margin criterion based band extraction of hyperspectral imagery", Proc. of 4th International Conference on Emerging Applications of Information Technolgoy, Kolkata, India, (IEEE Xplore), pp. 300-304, 2014.

9)

A. Mondal, B. N. Subudhi, B. N. Roy, M. Roy, S. Ghosh and A. Ghosh, "A study on nonlinear classifier-based moving object tracking", Proc. of Intelligent Computing Communication and Devices, 2014, Springer, Bhubaneswar, India, vol. 308, pp. 571-578, 2014.

10)

A. Dasgupta, A. Bakshi, and K. Ghosh, "Lateral inhibition based holistic approach to adaptive image enhancement", Proc. of 3rd IEEE International Advance Computing Conference (IACC 2013)Ghaziabad, India, pp. 1132-1137, 2013.

11)

P. Mahanta, D. K. Bhattacharyya, and A. Ghosh, "A Subspace Module Extraction Technique for Gene Expression Data", Proc. of 5th International Conference on Pattern Recognition and Machine Intelligence (PReMI'13), Kolkata, India, pp. 635-640, 2013.

12)

A. Datta, S. Ghosh, and A. Ghosh, "Band elimination of hyperspectral imagery using correlation of partitioned band images", Proc. of 2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), India, pp. 2013.

13)

A. Datta, S. Ghosh,  and A. Ghosh, "Clustering based band selection for hyperspectral images",  Proc. of Int. Conf. on Communication, Devices and Intelligent Systems, Kolkata, India, pp. 105-108, 2012.

14)

M. Roy, S. Das, S. Ghosh,  and A. Ghosh, "Semi-supervised Hopfield-Type Neural Network for Change Detection in Remotely Sensed Images", Proc. of 1st Int. Conf. on Recent Advances on information Technology, Dhanbad, India, 2012.

15)

N. S. Mishra, S. Ghosh,  and A. Ghosh, "Semi-supervised Fuzzy Clustering Algorithms for Change Detection in Remote Sensing Images", Proc. of 1st Indo-Japan Conf. on Perception and Machine intelligence (PerMIn), Kolkata, India, pp. 269-276, 2012.

16)

S. K. Meher, S. K. Pal  and  S. Dutta, "Granular computing models in the classification of web content data" Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT 2012),  Macau, China, pp. 175-179, 2012.

17)

A. Bakshi  and  K. Ghosh, "Scaling properties of mach bands and perceptual models" Proc. of 1st. Indo-Japan Conf. on Perception and Machine Intelligence (PerMIn'12),  Kolkata, India, pp. 66-74, 2012.

18)

A. Das  and K. Ghosh, "Enhancing face matching in a suitable binary environment", Proc. of Int. Conf. on Image Information Processing (ICIIP 2011), Himachal Pradesh, India, Online version IEEE xplore, DOI:  10.1109/ICIIP.2011.6108934, Print ISBN: 978-1-61284-859-4, 2011.

19)

C. Saha and K. Ghosh, "Estimation of facial expression intensity from a sequence of binary face images", Proc. of Int. Conf. on Image Information Processing (ICIIP 2011),  Himachal Pradesh, Online version IEEE xplore, DOI:  10.1109/ICIIP.2011.6108935, Print ISBN: 978-1-61284-859-4, 2011.

20)

K. Ghosh and A. Roy, "Neuro-visually inspired figure-ground segregation", Proc. of Int. Conf. on Image Information Processing (ICIIP 2011), Himachal Pradesh, India, Online version IEEE xplore, DOI:  10.1109/ICIIP.2011.6108934, Print ISBN: 978-1-61284-859-4, 2011.

21)

A. Das, A. Roy and K. Ghosh, "Proposing a CNN based architecture of mid-level vision for feeding the WHERE and WHAT pathways in the brain", Proc. of 2nd Int. Conf. on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, Visakhapatnam, India, Springer LNCS 7076, 559-568, 2011.

22)

A. Datta, S. Ghosh. and A. Ghosh. "Wrapper based Feature Selection in Hyperspectral Image Data using Self-adaptive Differential Evolution", Proc. of Int. Conf. on Image Information Processing, Shimla, India, pp.1-6, 2011.

23)

A. Albanese, S. K. Pal and A. Petrosino, "A Rough Set Approach to Spatio-temporal Outlier Detection", Proc. of 9th  Int. Conf. on Fuzzy Logic and Applications (WILFI11), Anna Maria Fanelli, Witold Pedrycz and Alfredo Petrosino (eds.), Trani, Italy, LNAI, Springer, 6857,  pp. 67-74,  2011.

24)

R. Pal, J. Mukhopadhyay and P. Mitra, "Image retargeting through constrained growth of important rectangular partitions", Proc. of 4th  Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS 6744,  Springer Verlag,  Heidelberg, pp. 104-109,  2011.

25)

S. Kundu, C. A. Murthy and S. K. Pal, "A new centrality measure for influence maximization in social networks", Proc. of 4th  Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS 6744,  Springer Verlag,  Heidelberg, pp.  242-247, 2011.

26)

D. Bhandari, L. Kundu and S. K. Pal, "Optical parameter selection for image watermarking using MOGA", Proc. of 4th  Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS 6744,  Springer Verlag,  Heidelberg, pp. 280-285,  2011.

27)

M. K. Kundu and A. Maiti, "Accurate localizations of reference points in a fingerprint image", Proc. of 4th  Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS, 6744,  Springer Verlag,  Heidelberg, pp. 293-298,  2011.

28)

A. Mandal, S. Ghosh and A. Ghosh, "Neuro-genetic approach for detecting changes in  multitemporal remotely sensed images", Proc. of 4th  Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS 6744,  Springer Verlag,  Berlin, Heidelberg, pp. 318-323,  2011.

29)

A. Ganivada, S. S. Ray and S. K. Pal, "Fuzzy Rough Granular Self-Organizing Map", Proc. of 6th  Int. Conf. on Rough Sets and Knowledge Technology (RSKT11), Banff, Canada, LNCS,  6954, pp. 659-668, 2011.

30)

D. Sen and S. K. Pal, "Retinal visual system based contrast measurement in images", Proc. of IEEE Int. Conf. on Communications and Signal Processing, Kozhikode, India, pp. 51-55, 2011.

31)

D. Sen and S. K. Pal, "Novel automatic exact histogram specification for contrast enhancement in images", Proc. of IEEE Int. Conf. on Communications and Signal Processing, Kozhikode, India, pp. 56-60, 2011.

32)

S. K. Pal, S. K. Meher and S. Dutta, "Pattern classification using class-dependent rough-fuzzy granular space", Proc. of 5th  Int. Conf. on Rough Set and Knowledge Technology (RSKT2010), J. Yu et al (eds.), Lecture Notes in Artificial Intelligence, Springer, 6401, Beijing, China, pp. 54-61, 2010.

33)

Y. Li, J. Zhao, N. X. Sun and S. K. Pal, "Generalized distribution reduction in inconsistent decision systems based on dominance relations", Proc. of 5th  Int. Conf. on Rough Set and Knowledge Technology (RSKT2010), J. Yu et al (eds.), Lecture Notes in Artificial Intelligence, Springer, 6401, Beijing, China, pp. 151-158, 2010.

34)

A. Ganivada and S. K. Pal, "Robust granular neural networks, fuzzy granules and classification",  Proc. of 5th  Int. Conf. on Rough Set and Knowledge Technology (RSKT2010), J. Yu et al (eds.), Lecture Notes in Artificial Intelligence, Springer, 6401, Beijing, China, pp. 220-227, 2010.

35)

S. S. Ray, M. Bachhar and S. K. Pal, "RNA secondary structure prediction in soft computing framework: a review", Proc. of 3rd  IEEE Int. Conf. on Computer Science and Information Technology (ICCSIT2010), Chengdu, China, vol. 5, pp. 430-435, 2010.

36)

A. Halder, S. Ghosh and A. K. Ghosh, "Ant based semi-supervised classification", Proc. of 7th  Int. Conf. on Swarm Intelligence (ANTS 2010), Springer, LNCS, 6234, Brussels, Belgium,  pp. 376-383, 2010.

37)

D. Sen and S. K. Pal, "Feature space based image segmentation via density modification", Proc. of IEEE Int. Conf. on Image Processing, Cairo, Egypt, pp. 4017-4020, 2009.

38)

D. Bhandari, C. A. Murthy and S. K. Pal, "Image enhancement using multi-objective genetic algorithms" Proc. of 3rd. Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI09), S. Choudhury et al (eds.) LNCS 5909,  Berlin: Springer Verlag, pp. 309-314, 2009.

39)

N. Ben, S. C. K. Shiu and S. K. Pal, "Mutual neighborhood based discriminant projection for face recognition", Proc. of 3rd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'09), S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry and S. K. Pal (eds.), Lecture Notes in Computer Science, Springer, 5909, New Delhi, India, pp. 440-445, 2009.

40)

A. Halder, A. Ghosh and S. Ghosh, "Ant based supervised and unsupervised land use map generation from remotely sensed images", Proc. of World Congress on Nature and Biologically Inspired Computing (NaBIC09), IEEE Computer Society Press,  pp. 158-163, 2009.

41)

P. Kanungo, P. K. Nanda and A. Ghosh, "Detection of earth surface cracks using parallel genetic algorithm based thresholding", Proc. of Int. Conf. on Advances in Computing, Control and Telecommunication Technologies  (ACT-2009), India,  pp. 4-11, 2009.

42)

D. Mazumdar, A. Das and S. K. Pal, "MRF based LSB steganalysis: a new measure of steganography capacity", Proc. of 3rd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'09), S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry and S. K. Pal (eds.), Lecture Notes in Computer Science, Springer, 5909, New Delhi, India,  pp. 420-425, 2009.

43)

S. Ghosh, B. Loewe and S. Saraf, "Pointer semantics with forward propagation", Proc. of  2nd Artificial General Intelligence (AGI09), B.Goertzel, P.Hitzler and M.Hutter (eds.), Advances in Intelligent Systems Research, Vol. 8, Atlantis Press, Arlington, pp. 37-42, 2009.

44)

S. Ghosh and F. R. Velazquez-Quesada, "Expressing belief flow in assertion networks",  Proc. of 7th Int. Tbilisi Symposium on Language, Logic and Computation (TbiLLC07), Peter Bosch, David Gabelaia and Jerome Lang (eds.), LNAI Springer, 5422, pp. 124-138, 2009.

45)

S. Saha, C. A. Murthy and S. K. Pal, "Rough set based ensemble prediction for topic specific web crawling", Proc. of Int. Conf. on Advances in Pattern Recognition (ICAPR09), B. Chanda (ed.), Kolkata, India, IEEE Computer Society, pp.153-156, 2009.

46)

S. Ghosh, N. Mishra and A. Ghosh, "Unsupervised change detection of remotely sensed images using fuzzy clustering", Proc. of 7th Int. Conf. on Advances in Pattern Recognition, (ICAPR09), Kolkata, India, pp. 385-388, 2009.

47)

M. K. Kundu, M. Banerjee and P. Bagrecha, "Interactive image retrieval in a fuzzy framework",  Proc. of Int. Workshop on Fuzzy Logic and Applications (WILF'09), Palermo, Italy, Lecture Notes in Artificial Intelligence, LNAI 5571, pp. 246-253, 2009.

48)

S. Saha, C. A. Murthy and S. K. Pal, "Rough ensemble classifier: A comparative study", Proc. of the 8th International Workshop on Fuzzy Logic and Applications (WILF'09), Vito Di Gesu`, S. K. Pal and Alfredo Petrosino (eds.), Palermo, Italy, Lecture Notes in Artificial Intelligence, LNAI 5571, pp. 116-123, 2009.

49)

S. Saha, C. A. Murthy and S. K. Pal, "Hypertext classification using tensor space model and rough set based ensemble classifier", Proc. of 3rd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'09), S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry and S. K. Pal (eds.), LNCS, Springer, 5909, New Delhi, India, pp. 213-218, 2009.

50)

A. Gorai and A. Ghosh, "Gray-level image enhancement by particle swarm optimization", Proc. of  World Congress on Nature and Biologically Inspired Computing (NABIC 2009), pp. 72-77, 2009.

51)

N. Mishra, S. Ghosh and A. Ghosh, "Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images", Proc. of 12th Int. Conf. on Information Technology (ICIT09), Bhubaneswar, India, pp. 100-105, 2009.

52)

B. Barman, S. Mitra and W. Pedrycz, "Shadowed clustering for speech data and medical image segmentation", Proc.  of RSCTC 2008, C.-C.Chan et al (eds.), LNCS 5306, pp. 475-484, 2008.

53)

A. Phadikar, M. K. Kundu and S. P. Maity, "Quantization based data hiding scheme for efficient quality access control of images using DWT via lifting", Proc. of 6th Indian Conf. on Computer Vision, Graphics and Image Processing (ICGVIP08), Bhubaneswar, India, pp. 265-272, 2008.

54)

A. Phadikar, M. K. Kundu and S. P. Maity, "Quality access control of a compressed gray scale image", Proc. of National Conf. on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG08), Gandhinagar, India, pp. 13-17, 2008.

55)

S. Karmakar, K. Ghosh and S. Sarkar, "A generalized design of Mexican hat and other even order Hermitian wavelets in Gaussian scale space", Proc. of Int. Conf. on Signal Processing, Communications and Networking (ICSCN08), Chennai, India, ISBN: 978-1-4244-1924-1, p.154, 2008.

56)

S. Sarkar, S. Karmakar, K. Ghosh and S. K. Sen, "An alternative Gaussian window approach for FIR filter design",  Proc. of Int. Conf. on Signal Processing, Communications and Networking (ICSCN08), Chennai, India, ISBN: 978-1-4244-1924-1, p.159, 2008.

57)

S. Dehuri, S. B. Cho, and A. Ghosh, "WASP: A multi-agent system for multiple recommendations problem", Proc. of 4th Int. Conf. on Next Generation Web Services Practices- (NWeSP08), Seoul, Korea, pp.159-166, 2008.

58)

S. Saha, C.A. Murthy and S. K. Pal, "Classification of web services using tensor space model and rough ensemble classifier", Proc. of the 17th Int. Symposium on Methodologies for Intelligent Systems (ISMIS08), Toronto, Canada, pp. 508-513, 2008.

59)

S. Saha, C. A. Murthy and S. K. Pal, "Tensor space model for hypertext representation", Proc. of 11th Int. Conf. on Information Technology (ICIT08), Bhubaneswar, India, pp. 261-266, 2008.

60)

A. Halder, S. Ghosh and A. Ghosh, "Aggregation pheromone density based classification", Proc. of 11th Int. Conf. on Information Technology (ICIT08), Bhubaneswar, India, pp. 100-105, 2008.

61)

S. Mitra and B. Barman, "Rough-fuzzy clustering: an application to medical imagery", in Rough Sets and Knowledge Technology, G. Wang, T. Li, J. W. Grzymala-Busse, D. Miao, A. Skowron and Y. Yao (eds.), LNAI, Berlin: Springer Verlag, 5009, pp. 300-307, 2008.

62)

S. Ghosh, "Strategies made explicit in dynamic game logic", J. van Benthem and E.Pacuit (eds.),  Proc. of Workshop on Logic and Intelligent Interaction, (ESSLLI08), Hamburg, pp. 74-81, 2008.

63)

P. Maji and S. K. Pal, "Rough-fuzzy relational clustering algorithm for biological sequence mining", Proc. of 3rd Int. Conf. on Rough Sets and Knowledge Technology (RSKT08), China, pp. 292-299, 2008.

64)

D. Sen and S. K. Pal, "Thresholding for edge detection in SAR images", Proc. of 2nd Int. Conf. on Signal Processing, Communications and Networking, Chennai, India, pp. 366-371, 2008.

65)

D. Sen and S. K. Pal, "Measuring ambiguities in images using rough and fuzzy set theory", Proc. of 2nd Int. Conf. on Signal Processing, Communications and Networking, Chennai, India, pp. 387-392, 2008.

66)

P. Maji and S. K. Pal, "Rough sets based hybrid c-means algorithm", Proc. of 3rd Indian Int. Conf. on Artificial Intelligence (IICAI07), India, pp. 1167-1185, 2007.

67)

R. Das, S. Mitra, H. Banka and S. Mukhopadhyay, "Evolutionary biclustering with correlation for gene interaction networks", Proc. of 2nd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI07), Kolkata, India, A. Ghosh, R. K. De and S. K. Pal (eds.), LNCS 4815, Berlin: Springer Verlag, pp. 416-424, 2007.

68)

B. Nath, D. K. Bhattacharyya and A. Ghosh, "Frequency count based filter for dimensionality reduction", Proc. of 15th Int. Conf. on Advanced Computing & Communications (ADCOM07), Guahati, India, pp. 377-381, 2007.

69)

S. Mitra, H. Banka and J. H. Paik, "Evolutionary fuzzy biclustering of gene expression data ", Proc. of  Int. Conf. on Rough Sets and Knowledge Technology, LNAI, Springer Verlag, 4481, pp. 284-291, 2007.

70)

S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Predicting gene function in yeast through adaptive weighting of multi-source information", Proc. of 8th Int. Conf. on Systems Biology, California, USA, no. H03, p. 63, 2007.

71)

S. Patra, S. Ghosh and A. Ghosh, "Semi-supervised learning with multilayer perceptron for detecting changes of remote sensing images", Proc. of 2nd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'07), Kolkata, India, LNCS 4815, Berlin: Springer Verlag, pp.161-168, 2007.

72)

K. Ghosh and S. K. Pal, "Figure-ground segregation: Cues from early vision", Proc. of 3rd Indian Int. Conf. on Artificial Intelligence (IICAI07), Pune, India, ISBN 978-0-9727412-2-4, p. 2238, 2007.

73)

S. Sarkar, K. Ghosh and K. Bhaumik, "Stochastic resonance in the perceptual interpretation of zero crossing maps: A low level center surround model of vision"Proc. of 3rd Indian Int. Conf. on Artificial Intelligence (IICAI07), Pune, India, ISBN 978-0-9727412-2-4, p. 2123, 2007.

74)

S. Sarkar, K. Ghosh and K. Bhaumik, "A bio-inspired interpolation kernel for medical image processing implemented on DSP processor", Proc. of 15th Int. Conf. on Advanced Computing and Communications (ADCOM07), Guwahati, India, p. 159, 2007.

75)

S. Mukherjee, A. Chakravorty, K. Ghosh, A. Adhikary, M. Roy and  S. Mazumdar, "Corroborating the subjective classification of ultrasound images of normal and fatty human livers by the radiologist through texture analysis and SOM", Proc. of 15th Int. Conf. on Advanced Computing and Communications (ADCOM07), Guwahati, India, p. 197, 2007.

76)

B. Nath, D. K. Bhattacharyya and A. Ghosh, "Dimensionality reduction using multi-objective genetic algorithms", Proc. of National Conf. on Trends in Advanced Computing (NCTAC07), Tezpur, India, pp. 155-161, 2007.

77)

B. Nath, D. K. Bhattacharyya and A. Ghosh, "Mining of association rules using multi-objective genetic algorithms: A partition based approach", Proc. of National Conf. on Trends in Advanced Computing, (NCTAC07), Tezpur, India, pp. 119-124, 2007.

78)

S. P. Maity, M. K. Kundu and P. K. Nandi, "Genetic algorithms for improvement in detection of hidden data in digital images", Proc. of 6th Int. Conf. on Advances in Pattern Recognition, Kolkata, India, pp. 164-170 , 2007.

79)

M. Banerjee and M. K. Kundu, "Image retrieval using fuzzy relevance feedback and validation with MPEG-7 content descriptors", Proc. of 2nd Int. Conf. on Pattern recognition and Machine Intelligence(PREMI'07), Kolkata, India, LNCS 4815, Berlin: Springer Verlag, pp. 144-152,  2007.

80)

P. Maji, B. Chanda, M. K. Kundu and S. Dasgupta, "Deformation correction in brain MRI using mutual information and genetic algorithm", Proc. of  Int. Conf. on Computing: Theory and Applications (ICCTA07), Kolkata, India, LNCS 4815, Berlin: Springer Verlag, pp. 372-376, 2007.

81)

S. S. Ray, S. Bandyopadhyay and S. K. Pal, "New distance measure for microarray gene expressions using linear dynamic range of photo multiplier tube", Proc. of Int. Conf. on Computing: Theory and Applications (ICCTA07), Kolkata, India, LNCS 4815, Berlin: Springer Verlag, pp. 337-341, 2007.

82)

S. Patra, S. Ghosh and A. Ghosh, "Unsupervised change detection in remote-sensing images using modified self-organizing feature map neural network",  Proc. of Int. Conf. on Computing: Theory and Applications (ICCTA07), Kolkata, India, ISBN 0-7695-2770-1, pp. 716-720, 2007.

83)

M. Kothari, S. Ghosh and A. Ghosh, "Aggregation pheromone density based change detection in remotely sensed images", Proc. of 6th Int. Conf. on Advances in Pattern Recognition (ICAPR07), Kolkata, India, pp. 193-197, 2007.

84)

M. Filippone, F. Masulli, S. Rovetta, S. Mitra and H. Banka, "Possibilistic approach to biclustering: An application to oligonucleotide microarray data analysis", in Computational Methods in Systems Biology, LNCS 4210, Heidelberg: Springer Verlag, pp. 312-322,  2006.

85)

S. Mitra, H. Banka and S. K. Pal, "An MOE framework for biclustering microarray data", Proc. of ICPR, vol. 1, pp 1154-1157, 2006.

86)

 

S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Gene ordering in partitive clustering using microarray expressions",  Proc. of Int. Conf. on Bioinformatics (INCOB06),  India, p. 33, 2006.

87)

S. P. Maity, M. K. Kundu and M. K. Mandal, "Performance improvement in spread spectrum watermarking via M-band wavelets and N-ary modulation", Proc. of IET Int. Conf. on Visual Information Engineering (VIE06), India, 2006.

88)

P. Kanungo, P. K. Nanda, A. Ghosh and U. C. Samal, "Classification of object and background using parallel genetic algorithm based clustering", Proc. of IEEE first Int. Conf. on Signal and Image Processing, Hubli, India, Vol-II, pp. 743-748, 2006.

89)

 

P. Maji, M. K. Kundu and B. Chanda, "Segmentation of brain MR images using fuzzy sets and modified co-occurrence matrix", Proc. of IET Int. Conf. on Visual Information Engineering (VIE06), India, pp. 327-332, 2006.

90)

D. Sen and S. K. Pal, "Image segmentation using global and local fuzzy statistics", Proc. of IEEE INDICON, New Delhi, India, pp. 1-6, 2006.

91)

M. Kothari, S. Ghosh and A. Ghosh, "Aggregation pheromone density based clustering", S. P. Mohanty and A. Sahoo, (Eds.), Proc. of 9th Int. Conf. on Information Technology (ICIT06), Los Alamitos, California, pp. 259-264,  2006.

92)

S. Ghosh, M. Kothari and A. Ghosh, "Aggregation pheromone density based image segmentation", Proc. of 5th Indian Conf. on Computer Vision, Graphics and Image Processing (ICVGIP06), P. Kalra and S. Peleg (eds.), LNCS Springer-Verlag Berlin, 4338, pp. 118-127,  2006.

93)

S. Patra, S. Ghosh and A. Ghosh, "Unsupervised change detection in remote-sensing  images using one-dimensional self-organizing feature map neural network", Proc. of 9th Int. Conf. on Information Technology (ICIT06), Bhubaneswar, India,  pp. 141-142, 2006.

94)

S. Dehuri, A. Ghosh and R. Mall, "Particles with age for data clustering", Proc. of 9th Int. Conf. on Information Technology (ICIT06), Bhubaneswar, India,  pp. 221-224,  2006.

95)

A. Biswas, P. Bhowmick and B. B. Bhattacharya, "MUSC: Multigrid shape codes and their applications to image retrieval", Proc. of Int. Conf. on Computational Intelligence and Security, Lecture Notes in Computer Science, vol. 3801, (sub-series LNAI), Springer, Berlin, pp. 1057-1063, 2005.

96)

P. K. Bhunre, C. A. Murthy, A. Bishnu, B. B. Bhattacharya and M. K. Kundu, "A hybrid data and space partitioning technique for similarity queries on bounded clusters", Proc. of 1st. Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'05), Lecture Notes in Computer Science, Springer, Berlin, vol. 3776, pp. 544-550, 2005.

97)

A. Biswas, P. Bhowmick and B. B. Bhattacharya, "Reconstruction of torn documents using contour maps", Proc. of  Int. Conf. on Image Processing (ICIP), Genoa, Italy, vol. 3, pp. 517-520, 2005.

98)

P. Bhowmick and B. B. Bhattacharya, "Approximation of digital circles by regular polygons",  Proc. ICAPR, vol. 1, Lecture Notes in Computer Science, Springer, Berlin, 3686, pp. 257-267, 2005.

99)

A. Biswas, P. Bhowmick and B. B. Bhattacharya, "TIPS: On finding a tight isothetic polygonal shape covering a 2D object", Proc. of SCIA, Lecture Notes in Computer Science, Springer, Berlin, 3540, pp. 930-939, 2005.

   

 

PATENTS

 

1)

B. Dey and M. K. Kundu, "Foreground Motion Detection in Compressed Video Data", India Patent Application # IN-591/KOL/2015, filed on May 27, 2015, Patent Application # US-14/807,853, filed on July 23, 2015.

2)

D. Bhandari, C.A. Murthy and S.K. Pal, Optimization technique using evolutionary algorithms,
US patent # 8,700,548; Issued on April 14, 2014.

3)

S. K. Pal and S. K. Meher, Rough wavelet granular space and classification of multispectral remote sensing image, US patent # IN-800853-03-US-NAT, Issued Patent on 06 Oct 2015; Korea patent # IN-800853-05-KR-NAT, Issued Patent on 21 Jan 2015; China Patent # IN-800853-04-CN-NAT, Published Application on 17 Apr 2013.

 


 

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