Authored Monographs
 |
Fuzzy Mathematical Approach to Pattern Recognition
S.K. Pal and D. Dutta Majumder
John Wiley & Sons (Halsted), N. Y., 1986
|
ISBN No. 0-470-27463-8, Pages : 280
Contents : Introduction,
Fuzzy Subsets and Properties, Classificatory Analysis, Preprocessing, Feature Selection and Primitive Extraction, Speech Recognition,
Adaptive Classification, Fuzzy Grammars and Syntactic
Recognition.
The book received Best Production Award in the 7th World Book Fair, New
Delhi, 1986.
The book has been translated into Indonesian Bhasa
and Chinese Language.
|
Neuro-Fuzzy
Pattern Recognition : Methods in Soft Computing
S.K. Pal and S. Mitra
John Wiley, N.Y., 1999 |
ISBN No. 0-471-34844-9, Pages : 408
Foreword by : Prof. Lotfi
A. Zadeh, University of California, Berkeley.
Contents : Introduction,
Fuzzy Logic and Neural Networks : Models, Integration, and Soft Computing, Pattern
Classification, Other Applications of Fuzzy MLP, Self-Organization, Pixel Classification,
and Object Extraction, Feature Evaluation, Rule Generation and Inferencing, Using
Knowledge-Based Networks and Fuzzy Sets, Rough-Fuzzy Knowledge-Based Networks.
|
Foundations
of Soft Case-Based Reasoning
Sankar K. Pal and Simon C.
K. Shiu
John Wiley, N.Y., 2004 |
ISBN No. 0-471-08635-5, Pages : 324
"The book is must reading for anyone who is
interested in the conception, design and utilization of intelligent systems." - from
the Foreword by Lotfi A. Zadeh (founder of fuzzy logic), Univ.
of California, Berkeley
Contents :
Introduction,
Case Representation and Indexing, Case Selection and Retrieval, Case Adaptation, Case-Base
Maintenance, Applications.
|
Pattern
Recognition Algorithms for Data Mining
Sankar K. Pal and
Pabitra Mitra
CRC Press, Boca Raton,
Florida, 2004 |
ISBN No. 1-584-88457-6, Pages : 280
"The importance of the book is hard to
exaggerate. It is a treatise that is an
exemplar of authority, deep insights, encyclopedic coverage and high expository skill.
.... Its authors, Professors S.K. Pal and P. Mitra are foremost authorities in pattern
recognition, data mining and related fields." --- from the Foreword by Lotfi
A. Zadeh, Univ. of California, Berkeley
"The book presents an unbeatable combination of theory and practice and gives a
comprehensive view on methods and tools in modern KDD." --- from the Foreword by Zdzislaw
Pawlak (founder of rough set theory), Polish Academy of Sciences, Warsaw
"This volume provides a very useful, thorough exposition of the many facets of this
application from several perspectives. ... I am pleased to recommend it as a valuable
addition to the books in this field." ---- from the Foreword by Laveen N
Kanal, Univ. of Maryland, College Park
Contents : Introduction,
Multiscale data condensation, Unsupervised feature selection, Active learning using
support vector machine, Rough-fuzzy case generation, Rough-fuzzy clustering,Rough
self-organizing map, Classification rule generation and evaluation using modular
rough-fuzzy MLP.
The book has also been published in
cheaper paperback edition for South Asia Region.
 |
Classification and Learning Using Genetic Algorithms:
Applications in Bioinformatics and Web Intelligence
Series: Natural
Computing Series
Sanghamitra Bandyopadhyay
and Sankar K. Pal
Springer, Heidelberg, 2007
|
ISBN No. 978-3-540-49606-9, Pages:
326.
Contents:
Introduction, Genetic Algorithms, Supervised Classification Using Genetic
Algorithms, Theoretical Analysis of the GA-Classifier, Variable String Lengths in
GA-Classifier, Chromosome Differentiation in VGA-Classifier, Multi-objective
VGA-Classifier and Quantitative Indices, Genetic Algorithms in Clustering, Genetic
Learning in Bioinformatics, Genetic Algorithms and Web Intelligence, Appendices,
References, Index.
The book is unique in the sense of
describing how a search technique, the genetic algorithm, can be used for pattern
classification mainly through approximating decision boundaries, and it demonstrates the
effectiveness of the genetic classifiers vis-à-vis several widely used classifiers,
including neural networks. It provides a balanced mixture of theories, algorithms and
applications, and in particular results from the bioinformatics and Web intelligence
domains.
A critical review of this book is provided in International Association
for Pattern Recognition (IAPR) Newsletter, vol. 30, no. 4, page 12, October 2008
ISBN:
978-1-1180-0440-1, Pages 312
Foreword by : Prof. Andrzej Skowron,
University of Warsaw, Poland
Description:
Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics
and medical image processing Emphasizing applications in
bioinformatics and medical image processing, this text offers a clear framework that
enables readers to take advantage of the latest rough-fuzzy computing techniques to build
working pattern recognition models. The authors explain step by step how to integrate
rough sets with fuzzy sets in order to best manage the uncertainties in mining large data
sets. Chapters are logically organized according to the major phases of
pattern recognition systems development, making it easier to master such
tasks as classification, clustering, and feature selection. Numerous examples and case studies help readers
better understand how pattern recognition models are developed and used in practice.
 |
Granular Neural
Networks, Pattern Recognition and Bioinformatics
Sankar K.
Pal, Shubhra S. Ray, Avatharam Ganivada
Springer International Publishing, 2017 |
DOI:
10.1007/978-3-319-57115-7
ISBN: 978-3-319-57115-7 (ebook)
ISBN: 978-3-319-57113-3 (hardcover)
Series ISSN: 1860-949X
Pages: XVI, 224
Provides a unified framework describing how
fuzzy rough granular neural network technologies can be judiciously formulated
and used in building efficient pattern recognition models are structured according to the major phases of a pattern recognition system
(e.g., classification, clustering, and feature selection) with a balanced
mixture of theory, algorithm, and applications
Highlights applications in bioinformatics
 |
Granular Video Computing
with Rough Sets, Deep Learning and in IoT
Debarati B Chakraborty and Sankar K Pal
World Scientific, 2021
https://doi.org/10.1142/12013
ISBN: 978-981-122-711-0 (hardcover)
ISBN: 978-981-122-713-4 (ebook)
Pages: 256
|
This volume links the
concept of granular computing using deep learning and the Internet of Things to
object tracking for video analysis. It describes how uncertainties, involved in
the task of video processing, could be handled in rough set theoretic granular
computing frameworks. Issues such as object tracking from videos in constrained
situations, occlusion/overlapping handling, measuring of the reliability of
tracking methods, object recognition and linguistic interpretation in video
scenes, and event prediction from videos, are the addressed in this volume. The
book also looks at ways to reduce data dependency in the context of unsupervised
(without manual interaction/ labeled data/ prior information) training.
This book may be used both as a textbook and reference book for graduate
students and researchers in computer science, electrical engineering, system
science, data science, and information technology, and is recommended for both
students and practitioners working in computer vision, machine learning, video
analytics, image analytics, artificial intelligence, system design, rough set
theory, granular computing, and soft computing.
Edited Monographs
|
Fuzzy Models
for Pattern Recognition : Methods that Search for Structures in Data
J. C. Bezdek and S. K. Pal (Eds.)
IEEE Press N. Y., 1992. |
ISBN No. 0-7803-0422-5, Pages : 539
Foreword by : Prof. Lotfi
A. Zadeh, University of California, Berkeley.
Contents : Introduction,
Cluster Analysis, Classifier Design and Feature Analysis, Image Processing and Machine
Vision, Fuzzy Logic, Neural Networks and Learning in Pattern Recognition
This book consists of 50 pages of original material
(written by the authors) and 51 seminal papers (most of them are IEEE publications)
reprinted from journals.
The book was in the list of IEEE Best Sellers book
till 1995
|
Genetic
Algorithms for Pattern Recognition
S. K. Pal and P. P. Wang (Eds.)
CRC Press, Boca Raton, Florida, 1996 |
ISBN No. 0-8493-9467-8, Pages : 320
This book is unique of its own kind and consists of
13 articles, written by leading scientists over the world, demonstrating how the effectiveness of Genetic Algorithms can be exploited for solving some existing problems of pattern recognition and for designing
efficient systems.
|
Rough-Fuzzy
Hybridization : A New Trend in Decision Making
S. K. Pal and A. Skowron (Eds.)
Springer Verlag, Singapore, 1999 |
ISBN No. 981-4021-00-8, Pages : 454.
This is the first book on integrating rough sets
and fuzzy sets for developing efficient decision making system with real life
applications. It has 20 articles written by leading experts over the world.
|
Soft Computing
for Image Processing
S.K. Pal, A. Ghosh and M.K. Kundu,
(Eds.)
Physica Verlag, Heidelberg, 2000 |
ISBN No. 3-7908-1268-4, Pages : 590
Foreword by : Prof. A. Rosenfeld, University of Maryland,
College Park.
The volume provides a collection of 21 articles, written by leading experts all over the
world, containing new material and describing, in a unified way with extensive real life
applications, the merits and significance of performing different image
processing/analysis tasks in soft computing paradigm.
|
Soft Computing
in Case Based Reasoning
S.K. Pal, T.S. Dillon and D.S.
Yeung, (Eds.)
Springer Verlag, London, 2001 |
ISBN No. 1-85233-262-X, Pages : 372
Foreword by : Prof. H.J. Zimmenmann, Aachen, Germany.
The book, which is unique of its kind, describes how various
soft computing tools can be applied to design and develop methodologies and systems
with case based reasoning (CBR) for real life decision-making or recognition problems. It
comprises 15 contributions from experts from all over the world.
|
Pattern
Recognition : From Classical to Modern Approaches
Sankar K. Pal and Amita Pal,
(Eds.)
World Scientific, Singapore, 2001 |
ISBN No. 981-02-4684-6, Pages : 636
Foreword by : Prof. Laveen N. Kanal, College Park, MD, USA.
This volume, containing contributions by experts from all
over the world, is a collection of 21 articles which present reviews and research material
describing the evolution and recent developments of various pattern recognition
methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic,
neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with
significant real-life applications. In addition, the book describes efficient soft machine
learning algorithms for data mining and applications, as well as up-to-date information
and an extensive bibliography.
|
Neural
Networks and Systolic Array Design
David Zhang and Sankar K. Pal,
(Eds.)
World Scientific, Singapore, 2002 |
ISBN No. 981-02-4840-7, Pages: 420
The volume, contains 16 chapters, describes in a unified way, the basic concepts, theories
and characteristic feature of integrating of formulating different facets of Neural
Networks (NNs) and Systolic Arrays (SAs), as well as presents recent developments and
significant applications. The articles, written by experts from all over the world,
demonstrate the various ways this integration can be made to efficiently design
methodologies, algorithms and architectures, and also implementations, for NN
applications.
 |
Soft
Computing Approach to Pattern Recognition and Image Processing
Ashish Ghosh and Sankar K. Pal,
(Eds.)
World Scientific, Singapore, 2002 |
ISBN No. 981-238-251-8, Pages: 372
This volume provides a collection of sixteen articles containing review and new material.
In a unified way, they describe the recent development of theories and methodologies in
pattern recognition, image processing and vision using fuzzy logic, artificial neural
networks, genetic algorithms, rough sets and wavelets with significant real life
applications.
The book details the theory of granular computing
and the role of a rough-neuro approach as a way of computing with words and designing
intelligent recognition systems. It also demonstrates applications of the soft computing
paradigm to case based reasoning, data mining and bio-informatics with a scope for future
research.
|
Rough-Neural
Computing
Techniques for Computing with
Words
Sankar K. Pal, Lech Polkowski and
Andrzej Skowron(Eds.)
Springer Verlag, Berlin, 2004 |
ISBN No. 3-540-43059-8, Pages: 734
Foreword by : Prof.
Zdzistaw Pawlak, University of Information Technology and Management, Warsaw, Poland.
Prof. Lotfi A. Zadeh, Department of EECS,
University of California, Berkeley, USA.
It is well understood now in the soft computing
community that hybrid approaches combining various paradigms provide very promising means
for solving complex problems. Exploring the potential and strength of neural networks,
rough sets, and rough-fuzzy hybridization, this book is devoted to rough-neural computing,
which is also related to the novel aspect of computing with words. It has 29
articles contributed by experts from all over the world and provides foundational and
methodological issues as well as applications in various fields.
|
Rough Fuzzy
Image Analysis
Foundations and Methodologies
Sankar K. Pal and J. F. Peters
(Eds.)
Chapman & Hall/CRC, Boca Raton,
Florida, 2010 |
ISBN No. 978-1-4398-0329-5, Pages: 266
This is the first book under the series of
/Mathematical and Computational Imaging Sciences/of Chapman & Hall/ CRC. Emphasizing
the utility of fuzzy, near and rough sets in image analysis, the volume having twelve
chapters introduces the fundamentals and applications in the state of
the art of rough-fuzzy image analysis. The volume is unique in the sense that it presents
a new approach to image analysis using near sets and tolerance spaces; provides a complete
implementation of near sets and offers the NEAR system for download on
http://wren.ece.umanitoba.ca/;
and covers an array of applications, particularly in medical imaging involving breast
cancer diagnosis, laryngeal pathology diagnosis, and brain MR segmentation.
 |
Handbook on Soft Computing for
Video Surveillance
Sankar K. Pal,
Alfredo Petrosino
and
Lucia Maddalena(Eds.)
Chapman & Hall/CRC Cryptography and Network Security Series
Chapman & Hall/CRC, Boca
Raton, Florida, 2012 |
ISBN No. 978-1439856840, Pages:
342
Information on integrating soft computing techniques
into video surveillance is widely scattered among
conference papers, journal articles, and books. Bringing
this research together in one source,
Handbook on Soft
Computing for Video Surveillance illustrates the
application of soft computing techniques to different
tasks in video surveillance. Worldwide experts in the
field present novel solutions to video surveillance
problems and discuss future trends.
After an introduction to video surveillance systems and
soft computing tools, the book gives examples of neural
network-based approaches for solving video surveillance
tasks and describes summarization techniques for content
identification. Covering a broad spectrum of video
surveillance topics, the remaining chapters explain how
soft computing techniques are used to detect moving
objects, track objects, and classify and recognize
target objects. The book also explores advanced
surveillance systems under development.
Incorporating both existing and new ideas, this handbook
unifies the basic concepts, theories, algorithms, and
applications of soft computing. It demonstrates why and
how soft computing methodologies can be used in various
video surveillance problems.
 |
Soft Computing
Applications in Sensor Networks
Sudip
Misra and Sankar K. Pal (Eds.)
Chapman & Hall/CRC, Boca Raton, Florida, 2017
ISBN No. 13: 978-1-4822-9875-8, Pages: 284
|
The
book provides research describing soft computing
approaches in sensor networking, while investigating the
novel solutions and discussing future trends in this
field. With eleven chapters containing tutorials and new
material, mostly written by prominent academicians,
researchers and practitioners, the volume describes
basic concepts, theory and algorithms that demonstrate
why and how soft computing techniques can be used for
sensor networking in different disciplines. Different
case studies and applications topics considered include:
smart node model for wireless sensor network(WSNs),
protocols for WSN routing, fault-tolerant routing in
WSNs, optimal cluster head positioning in heterogeneous
sensor networks, ubiquitous context aware services,
energy-aware wireless body area networks in health care
delivery, and the definition of various network entropy
measures. After a brief tutorial-style introduction,
each chapter provides a comprehensive description of the
developments in its respective area.
 |
Pattern Recognition
and Big Data
Amita Pal and Sankar K. Pal (Eds.)
World Scientific, 2017
ISBN: 978-981-3144-54-5 (hardcover)
ISBN: 978-981-3144-56-9 (ebook)
Pages: 876
|
Containing twenty six contributions by experts from all
over the world, this book presents both research and
review material describing the evolution and recent
developments of various pattern recognition
methodologies, ranging from statistical, linguistic,
fuzzy-set-theoretic, neural, evolutionary computing and
rough-set-theoretic to hybrid soft computing, with
significant real-life applications.
Pattern Recognition
and Big Data provides state-of-the-art of classical and
modern approaches to pattern recognition and mining,
with extensive real life applications. The book
describes efficient soft and robust machine learning
algorithms and granular computing techniques for data
mining and knowledge discovery; and the issues
associated with handling Big Data. Application domains
considered include bioinformatics, cognitive machines
(or machine mind developments), biometrics, computer
vision, the e-nose, remote sensing and social network
analysis.
Edited
Conference Proceedings
|
Intelligent
Agent Technology
(2004
IEEE/WIC/ACM International Conference)
Ning Zhong, Jeffrey Bradshaw,
Sankar K. Pal, Domenico Talia, Jiming Liu, and Nick Cerrone (Eds.)
IEEE Computer Society, Los Alamitos,
California, USA, 2004 |
ISBN No. 0-7695-2101-0, Pages: 569
Beijing, China, September 20-24,
2004
 |
Wavelet Analysis and Its
Applications, and Active Media Technology
Jian Ping Li, John Daugman,
Victor Wickerhauser, Bruno Torresani, John Yen,
Ning Zhong, Sankar K Pal, Yuan Yan Tang,
Jiming Liu
(Eds.)
World Scientific Pub
Co Inc. 2004 |
Logistical Engineering University, P R China,
28 – 30 May 2004
|
Pattern
Recognition and Machine Intelligence
(First International Conference, PReMI 2005, Proceedings)
Series: Lecture Notes in Computer Science, Vol.
3776
Sankar K. Pal, Sanghamitra Bandhyopadhyay, and Sambhunath Biswas (Eds.)
Springer-Verlag, Berlin Heidelberg 2005 |
ISBN: 3-540-30506-8, Pages: 808
Kolkata, India, December 20-22, 2005
|
Pattern
Recognition and Machine Intelligence
(Second International Conference, PReMI 2007, Proceedings)
Series: Lecture Notes in Computer
Science, Vol. 4815
Ashish Ghosh, Rajat K. De and Sankar K. Pal (Eds.)
Springer-Verlag, Berlin Heidelberg 2007 |
ISBN: 978-3-540-77045-9, Pages: 677
Kolkata, India, December 18-22, 2007
ISBN: 978-3-642-02281-4, Pages: 378
Palermo, Italy, June 9-12, 2009
 |
Signal
Processing, Image Processing and Pattern Recognition
(2009 International Conference on Signal Processing, Image Processing and Pattern
Recognition, SIP 2009, Proceedings)
Held as Part of the Future Generation
Information Technology Conference, FGIT 2009
Series:
Communications
in Computer and Information Science, Vol. 61
D. Slezak, S.K. Pal, B.-H, Kang, J. Gu, H. Kuroda, and T. -H.. Kim (Eds.)
Springer-Verlag, Berlin Heidelberg 2010 |
ISBN: 978-3-642-10545-6, Pages: 330
Jeju Island, Korea, December 10-12, 2009
 |
Pattern
Recognition and Machine Intelligence
(Third International Conference, PReMI 2009, Proceedings)
Series: Lecture Notes
in Computer Science, Vol. 5909
S. Chaudhury, S. Mitra, C.A. Murthy, P.S. Sastry and S.K. Pal (Eds.)
Springer-Verlag, Berlin Heidelberg 2009 |
ISBN: 978-3-642-11163-1, Pages: 631
Delhi, India, December 16-20, 2009
 |
Signal
Processing and Multimedia
(2010 International Conference on Signal Processing, Image Processing and Pattern
Recognition, SIP 2010, Proceedings)
Held as Part of the Future Generation
Information Technology Conference, FGIT 2010
Series: Communications
in Computer and Information Science, Vol. 123
T-H Kim, S.K. Pal, W. I. Gtosky, N. Pissinou, T. K. Shih and D. Slezak, (Eds.)
Springer-Verlag, Berlin Heidelberg 2010
ISBN: 978-3-642-17640-1, Pages: 328
Jeju Island, Korea, December 13-15, 2010
|
 |
Pattern Recognition and Machine Intelligence
(4th International Conference on PReMI 2011, Proceedings)
Series:
Lecture Notes in Computer Science, Vol.
6744
Kuznetsov, S.O.;
Mandal, D.P.; Kundu, M.K.; Pal, S.K.
(Eds.)
Springer-Verlag, Berlin Heidelberg 2011 |
ISBN: 978-3-642-21785-2 Pages:
467
Moscow, Russia,
June 27 - July 1, 2011
 |
Perception and Machine Intelligence
(First Indo-Japan
Conference, PerMIn 2012, Kolkata,
India, January 12-13, 2011,
Proceedings)
Series:
Lecture
Notes in Computer Science, Vol. 7143
Kundu,
M.K.; Mitra, S.; Mazumdar, D.; Pal,
S.K. (Eds.)
Springer-Verlag, Berlin Heidelberg 2012 |
ISBN- 978-3-642-27386-5, Pages: 380
Kolkata, India,
January 12-13, 2012
 |
Pattern
Recognition and Machine Intelligence
(Fifth International Conference, PReMI 2013, Proceedings)
Series:
Lecture Notes in Computer
Science, Vol. 8251
Pradipta Maji, Ashish Ghosh, M. Nararasimha Murty, Kuntal Ghosh and Sankar K. Pal (Eds.)
Springer-Verlag, Berlin Heidelberg 2013 |
ISBN:
978-3-642-45061-7 (Print) 978-3-642-45062-4(Online),Pages: 753
Kolkata,
India, December 10-14, 2013
 |
Recent Advances in Intelligent Informatics
Thampi, S.M.; Abraham, A.; Pal, S.K.;
Rodriguez, J.M.C. (Eds.)
Springer
International Publishing Switzerland 2014 |
ISBN 978-3-319-01777-8, Pages: 466
Mysore, India, August 23-24, 2013
 |
Perception
and Machine Intelligence
(PerMIn'15)
ACM New
York, USA, 2015
|
ISBN 978-1-4503-2002-3, Pages: 269
Kolkata, India, February 26-27, 2015
 |
Pattern Recognition and Machine Intelligence
(6th International Conference, PReMI 2015, Proceedings)
Series:
Lecture Notes in Computer Science, Vol. 9124
M.
Kryszkiewicz,
S. Bandyopadhyay,
H.
Rybinski,
and Sankar K. Pal (Eds.)
Springer-2015 |
ISBN:
978-3-319-19940-5 (Print)
ISBN: 978-3-319-19941-2 (Online),Pages:
588
Warsaw, Poland, June 30 - July 3, 2015
 |
Pattern
Recognition and Machine Intelligence
(7th International Conference, PReMI 2017, Proceedings)
Series:
Lecture Notes in Computer
Science, Vol. 10597
B. Uma Shankar, Kuntal Ghosh,
Deba Prasad Mandal, Shubhra Sankar Ray,
David Zhang and Sankar K. Pal
(Eds.)
Springer International Publishing 2017 |
ISBN: 978-3-319-69899-1
(Print) ISBN: 978-3-319-69900-4, Pages: XXVIII, 695.
Kolkata, India, December 5-8,
2017, Proceedings
 |
Recent
Trends in Signal and Image processing
S. Bhattacharyya, S.K.
Pal, I. Pan and A. Das
(Eds.)
Springer, Singapore 2019
|
Includes high-quality,
peer-reviewed papers on signal and image processing technologies,
ISBN: 978-981-13-6782-3(Softcover) ISBN:978-981-13-6783-0(ebook),
DOI:10.1007/978-981-13-6783-0, Pages: XX,
135.
Kolkata, India, November
21-22, 2018, Proceedings of ISSIP 2018
 |
MedPRAI '18
(Proceedings of the 2nd
Mediterranean Conference on Pattern Recognition
and Artificial Intelligence)
Series:
MedPRAI '18
Mohammed El Youssfi
El Kettani, Chawki
Djeddi, Imran Siddiqi,
Yaacoub Hannad,
Sankar
Kumar Pal (Eds.)
Association
for
Computing
Machinery,
NY, USA,
(In
Cooperation
with IAPR),
2018
|
ISBN: 978-145-03-5290-1,
DOI:doi/proceedings/10.1145/3177148, Pages:
119.
MedPRAI-2018, held on March 27-28, 2018, in Rabat, Morocco
 |
Pattern
Recognition and Machine Intelligence
(8th International Conference, PReMI 2019, Proceedings)
Series:
Lecture Notes in Computer
Science, Vol. 11941 and 11942
Bhabesh Deka, Pradipta Maji,
Sushmita Mitra, Dhruba Kumar Bhattacharyya,
Prabin Kumar Bora, Sankar
Kumar Pal
(Eds.)
Springer International Publishing 2019 |
ISBN: 978-3-030-34868-7
(Print) ISBN: 978-3-030-34869-4(ebook), Pages: L, 637, PART-I.
ISBN: 978-3-030-34871-7(Print) ISBN:
978-3-030-34872-4(ebook), Pages: L, 583, PART-II.
Tezpur, India, December 17-20,
2019, Proceedings
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