Table Of ContentLecture Notes in Networks and Systems 498
Hiren Kumar Deva Sarma
Vincenzo Piuri
Arun Kumar Pujari Editors
Machine
Learning in
Information and
Communication
Technology
Proceedings of ICICT 2021, SMIT
Lecture Notes in Networks and Systems
Volume 498
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
Advisory Editors
Fernando Gomide, Department of Computer Engineering and Automation—DCA,
School of Electrical and Computer Engineering—FEEC, University of
Campinas—UNICAMP, São Paulo, Brazil
Okyay Kaynak, Department of Electrical and Electronic Engineering,
Bogazici University, Istanbul, Turkey
Derong Liu, Department of Electrical and Computer Engineering, University of
Illinois at Chicago, Chicago, USA
Institute of Automation, Chinese Academy of Sciences, Beijing, China
Witold Pedrycz, Department of Electrical and Computer Engineering, University of
Alberta, Alberta, Canada
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Marios M. Polycarpou, Department of Electrical and Computer Engineering,
KIOS Research Center for Intelligent Systems and Networks, University of Cyprus,
Nicosia, Cyprus
Imre J. Rudas, Óbuda University, Budapest, Hungary
Jun Wang, Department of Computer Science, City University of Hong Kong,
Kowloon, Hong Kong
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· ·
Hiren Kumar Deva Sarma Vincenzo Piuri
Arun Kumar Pujari
Editors
Machine Learning
in Information
and Communication
Technology
Proceedings of ICICT 2021, SMIT
Editors
Hiren Kumar Deva Sarma Vincenzo Piuri
Department of Information Technology University of Milan
Gauhati University Milan, Italy
Jalukbari, Assam, India
Arun Kumar Pujari
Department of Computer Science
and Engineering
Mahindra University Hyderabad
Hyderabad, India
ISSN 2367-3370 ISSN 2367-3389 (electronic)
Lecture Notes in Networks and Systems
ISBN 978-981-19-5089-6 ISBN 978-981-19-5090-2 (eBook)
https://doi.org/10.1007/978-981-19-5090-2
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature
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Preface
Information and communication technologies have grown up significantly and pene-
trated in almost all dimensions of human society. There has been tremendous growth
in all the areas of information technology including Information gathering, informa-
tion processing, information sharing, information distribution, information retrieval,
information security, and so on. Internet has revolutionized the human society and
opened up many new dimensions that include information sharing models, elec-
tronic commerce, and also new economic models altogether. Although artificial
intelligence was conceptualized long time back, at present time, there has been a
tendency to achieve wide meaningful practice of artificial intelligence in all major
domains of knowledge, even apart from information technology-based applications.
Machine learning (ML) algorithms are playing important role in this aspect. Overall,
health care is such a domain of knowledge at present, in which ML algorithms are
being widely applied for better processing of healthcare data in order to make mean-
ingful decisions. Penetration of information technology in medical and healthcare
domain is worth noticing, which is expected to help health professionals significantly
in making wise and better decisions. Apart from healthcare data-related studies,
application of ML algorithms is expanding and influencing all other domains of
information and communication technologies, in general. Communication technolo-
gies are getting enhanced significantly and modern communication paradigms are
emerging and evolving. In the area of communication, optimization in terms of
energy expenditure, overall cost of communication and even life span of communi-
cation systems has always been an issue of great significance. In recent time, it has
been witnessed that there is a growing interest in applying ML algorithms in various
parts of communication systems in search of better solutions.
Therefore, in these book, effort has been made to see the three major contemporary
areas of knowledge, namely information technology, communication technology and
machine learning, in a connected manner. The aim of the book is to share the latest
research happenings in applying ML algorithms in different information technology-
based applications as well as in communication technologies.
v
vi Preface
There are 31 research articles in this book. These are the research papers presented
during the first International Conference on Information and Communication Tech-
nology (ICICT) 2021 held at Sikkim Manipal Institute of Technology (SMIT) during
23–24 December 2021 organized by the Department of Information Technology. The
articles are broadly categorized into the following: healthcare informatics, recom-
mendation systems, communication networks, assistive technology, social networks,
image and video processing, cybersecurity, and miscellaneous applications.
We are thankful to all the authors of ICICT 2021. We sincerely thank SMIT for
extending all the support in organizing ICICT 2021. We are highly grateful to Prof.
Janusz Kacprzyk for his guidance and encouragement throughout. We sincerely thank
the editorial team of Springer Nature for their great support that we have received.
We sincerely thank Springer Nature for being our publication partner and for all the
help and great support that have been extended to us during the making of this book.
Jalukbari, India Hiren Kumar Deva Sarma
Milan, Italy Vincenjo Piuri
Hyderabad, India Arun Kumar Pujari
Contents
Healthcare Informatics
Earth Mover’s Distance-Based Automated Disease Tagging
of Indian ECGs ................................................... 3
Burhan Basha, Dhruva Nandi, Karuna Nidhi Kaur,
Priyadarshini Arambam, Shikhar Gupta, Mehak Segan, Priya Ranjan,
Upendra Kaul, and Rajiv Janardhanan
Cardial Disease Prediction in Multi-variant Systems Using
MT-MrSBC Model ................................................ 21
Pandiyan Nandakumar and Subhashini Narayan
SVM-based Pre- and Post-treatment Cancer
Segmentation from Lung and Abdominal CT Images
via Neighborhood-Influenced Features .............................. 35
Tiyasa Chakraborty, Ashok Kumar Bhadra, and Debashis Nandi
Blood Cancer Detection with Microscopic Images Using Machine
Learning ......................................................... 45
Christo Ananth, P. Tamilselvi, S. Agnes Joshy, and T. Ananth Kumar
A Survey on Machine Learning-Based Approaches for Leukaemia
Detection ......................................................... 55
Leena I. Sakri and Rajeshwari V. Patil
Periocular Region Recognition—A Brief Survey ...................... 63
R. Sheela and R. Suchithra
A Bibliometric Analysis on the Relationship Between Emotional
Intelligence, Self-Management and Health Information Seeking ....... 77
Jennifer Gurung, Vivek Pandey, Samrat Kumar Mukherjee,
Saibal Kumar Saha, Ankit Singh, and Ajeya Jha
vii
viii Contents
Preferences in the Detailing Process Among Young and Senior
Physicians ........................................................ 89
Saibal Kumar Saha, Ankita Sarangi, Sonia Munjal, Piyanka Dhar,
and Ajeya Jha
Non-cognitive Differences on Social Media Branded Drugs
Promotion: Study of Indian Patients and Physicians .................. 97
Samrat Kumar Mukherjee, Jitendra Kumar, Jaya Rani Pandey,
Vivek Chhetri, and Ajeya Jha
AUTCD-Net: An Automated Framework for Efficient Covid-19
Diagnosis on Computed Tomography Scans .......................... 109
Palash Ghosal, Amish Kumar, Soumya Snigdha Kundu,
Utkarsh Prakash Srivastava, Ashis Datta, and Hiren Kumar Deva Sarma
Computer-Aided Detection of Brain Midline Using CT Images ......... 117
Palash Ghosal, Amish Kumar, Ashis Datta, Hiren Kumar Deva Sarma,
and Debashis Nandi
Deep Neural Network-Based Classification of ASD
and Neurotypical Subjects Using Functional Connectivity
Features Derived from Resting-State fMRI Data ..................... 125
Nirmal Rai, P. C. Pradhan, Hemanta Saikia, O. P. Singh,
and Rinkila Bhutia
Application of Deep Learning in Healthcare .......................... 131
Aryan Shahi, Chandralika Chakraborty, Shubhodeep Ghosh,
and Ankit Anand
Recommendation Systems
A Popularity-Based Recommendation System Using Machine
Learning ......................................................... 143
Pranati Rakshit, Sougata Saha, Arindam Chatterjee, Subhayan Mistri,
Swagata Das, and Gunjan Dhar
Machine Learning-Based Movies and Shows Recommendation
System ........................................................... 151
Sanmoy Dev Purkayastha, Suraj Kumar, Ashish Saha, and Saumya Das
Communication Networks
A Survey on Application of LSTM as a Deep Learning Approach
in Traffic Classification for SDN .................................... 161
Prerna Rai and Hiren Kumar Deva Sarma
Contents ix
Assistive Technology
A Novel Low-cost Visual Aid System for the Completely Blind
People ............................................................ 177
Christo Ananth, M. Kameswari, R. Srinivasan, S. Surya,
and T. Ananth Kumar
Social Networks
Twitter Sentiment Analysis Using Machine Learning Techniques:
A Case Study Based on Farmers Protest ............................. 187
C. Sahithi, Y. Sreeja, S. Akhil, K. Taruni, and C. C. Sobin
Sentiment Analysis to Find Sentence Polarity on Tweet Data ........... 197
Pranati Rakshit, Sumit Gupta, and Tarpan Das
Impact of Emotional Support and Medical Adherence on Social
Media Branded Drug Promotion .................................... 203
Samrat Kumar Mukherjee, Jitendra Kumar, Ajeya Jha,
Jaya Rani Pandey, and Saibal Kumar Saha
Image and Video Processing
A Survey on Video Description and Summarization Using Deep
Learning-Based Methods ........................................... 213
Pranati Rakshit, Anuj Kumar, and Amlan Chakraborty
Aerial Image Classification Using Convolution Neural Network ........ 225
Praveen Kumar Pradhan and Udayan Baruah
Image Retrieval Using Neural Networks for Word Image
Spotting—A Review ............................................... 243
Naiwrita Borah and Udayan Baruah
Cybersecurity
Priority-Based Mitigation in Education Sector using Machine
Learning ......................................................... 271
Sonal Shukla and Anand Sharma
Miscellaneous Applications
Prediction and Analysis of Air Quality Index Using Machine
Learning Algorithms .............................................. 281
Avishek Choudhuri, R. Sujatha, Chhazed Shreyans Nitin,
Jyotir Moy Chatterjee, and R. N. Thakur
A Short Overview on Various Bio-Inspired Algorithms ................ 295
K. Boopalan, C. Shanmuganathan, K. Lokeshwaran, and T. Balaji
