Table Of ContentLecture Notes in Networks and Systems 256
Rajiv Misra
Rudrapatna K. Shyamasundar
Amrita Chaturvedi
Rana Omer Editors
Machine Learning and
Big Data Analytics
(Proceedings
of International
Conference on Machine
Learning and Big
Data Analytics
(ICMLBDA) 2021)
Lecture Notes in Networks and Systems
Volume 256
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
Advisory Editors
Fernando Gomide, Department of Computer Engineering and Automation—DCA,
SchoolofElectricalandComputerEngineering—FEEC,UniversityofCampinas—
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
WitoldPedrycz,DepartmentofElectricalandComputerEngineering,Universityof
Alberta, Alberta, Canada; Systems Research Institute, Polish Academy of
Sciences, Warsaw, Poland
Marios M. Polycarpou, Department of Electrical and Computer Engineering,
KIOSResearchCenterforIntelligentSystemsandNetworks,UniversityofCyprus,
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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Rajiv Misra Rudrapatna K. Shyamasundar
(cid:129) (cid:129)
Amrita Chaturvedi Rana Omer
(cid:129)
Editors
Machine Learning and Big
Data Analytics (Proceedings
of International Conference
on Machine Learning and Big
Data Analytics (ICMLBDA)
2021)
123
Editors
Rajiv Misra Rudrapatna K.Shyamasundar
Indian Institute of Technology Patna Indian Institute of Technology Bombay
Patna, India Mumbai,India
Amrita Chaturvedi Rana Omer
Indian Institute of Technology (BHU) Cardiff University
Varanasi, India Cardiff, UK
ISSN 2367-3370 ISSN 2367-3389 (electronic)
Lecture Notesin Networks andSystems
ISBN978-3-030-82468-6 ISBN978-3-030-82469-3 (eBook)
https://doi.org/10.1007/978-3-030-82469-3
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Preface
This book Machine Learning and Big Data Analytics presents the proceedings
of the International Conference on Machine Learning and Big Data Analytics
(ICMLBDA) 2021 that was held in collaboration with Indian Institute of
Technology (BHU), Varanasi, India; California State University, San Bernardino,
USA; Emlyon Business School, France; and International Association of
Academicians (IAASSE), USA.
The ICMLBDA 2021 provided a platform for researchers and professionals to
share their research and reports of new technologies and applications in Machine
Learning and Big Data Analytics like biometric recognition systems, medical
diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis,
gaming, stock trading, intelligent aerospace systems, robot control, law, remote
sensing and scientific discovery agents and multiagent systems, and natural lan-
guage and Web intelligence.
The ICMLBDA 2021 tried to bridge the gap between these non-coherent dis-
ciplines of knowledge and fosters unified development in next generation compu-
tational models for machine intelligence. This conference basically focused on
advanced automation, computational optimization of machine learning in all
engineering-basedapplicationsaswellasincludesspecificplenarysessions,invited
talks and paper presentations focusing on the applications of ML and BDA in the
fields of computer/electronics/electrical/mechanical/chemical/textile engineering,
healthcare and agriculture, business and social media and other relevant domains.
DuetotheoutbreakofCOVID-19,thisyear’sconferencewasorganizedasfully
virtual conference. This was an incredible opportunity to experiment with a con-
ferenceformatthatweplantocontinueinthefuture.InordertoprepareICMLBDA
2021,theorganizingcommittees,reviewers,sessionchairsaswellasalltheauthors
and presenters have made a lot of efforts and contributions. Thank you very much
for always being supportive to the conference. We could not have pulled off this
convention without all of your hard work and dedication.
v
Organization
Organizing Committee
Chairman of Organizing Committee
Rajiv Misra IIT Patna, India
Members of Organizing Committee
Omer Rana Cardiff University, UK
Muttukrishnan Rajarajan City University, London, UK
Bharadwaj Veeravalli National University of Singapore, Singapore
R. K. Shyamsunder IIT Bombay, India
Scientific Committee
Chairperson of Scientific Committee
Amrita Chaturvedi IIT (BHU), Varanasi, India
Members of Scientific Committee
Imene Brigui Emlyon Business School, France
Nishtha Kesswani CURAJ, India
Sriparna Saha IIT Patna, India
Ahmed Zobaa Brunel University London, UK
Pramod Mishra Banaras Hindu University, India
Doaa Wafik BUC University, Egypt
Alboaie Lenuta AlexandruIoanCuzaUniversityofIasi,Romania
Sugata Sanyal IIT Guwahati, India
Sami Bedra Université Abbes Laghrour-Khenchela, Algeria
Khashayar Yazdani University of Science and Technology, Malaysia
Fareeda Khodabocus University of Mauritius, Mauritius
vii
viii Organization
Shailen Gungah University of Mauritius, Mauritius
Lo Man-fung Hong Kong Polytechnic University, Hong Kong
Joseph Vella University of Malta, Malta
Rajib Ghosh NIT Patna, India
Yasha Hasija DTU Delhi, India
Abu Kaisar Mohammad DIU, Bangladesh
Nada Matta Université de Technologie de Troyes, France
Sarachandran Muscat College, Oman
Nader Nashat Nashed Université Française d’Egypte, Egypt
Şaban Öztürk Amasya Üniversitesi, Turkey
Contents
Analysis on Applying the Capabilities of Deep Learning Based
Method for Underwater Fish Species Classification . . . . . . . . . . . . . . . . 1
Suja Cherukullapurath Mana and T. Sasipraba
Bug Assignment Through Advanced Linguistic Operations . . . . . . . . . . 12
Shubham Kumar, Saurabh Kumar, Rahul Agrawal, Nitesh Goyal,
Shubham Kumar, and Vivek Kumar
An Empirical Framework for Bangla Word Sense Disambiguation
Using Statistical Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Monisha Biswas, Omar Sharif, and Mohammed Moshiul Hoque
Engagement Analysis of Students in Online Learning Environments. . . 34
Sharanya Kamath, Palak Singhal, Govind Jeevan, and B. Annappa
Static and Dynamic Hand Gesture Recognition for Indian
Sign Language . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
A. Susitha, N. Geetha, R. Suhirtha, and A. Swetha
An Application of Transfer Learning: Fine-Tuning BERT
for Spam Email Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
Amol P. Bhopale and Ashish Tiwari
Concurrent Vowel Identification Using the Deep Neural Network . . . . . 78
Vandana Prasad and Anantha Krishna Chintanpalli
Application of Artificial Intelligence to Predict the Degradation
of Potential mRNA Vaccines Developed to Treat SARS-CoV-2 . . . . . . . 85
Ankitha Giridhar and Niranjana Sampathila
Explainable AI for Healthcare: A Study for Interpreting
Diabetes Prediction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95
Neel Gandhi and Shakti Mishra
ix
x Contents
QR Based Paperless Out-Patient Health and Consultation Records
Sharing System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106
S. Thiruchadai Pandeeswari, S. Padmavathi, and S. S. Srilakshmi
Searching Pattern in DNA Sequence Using ECC-Diffie-Hellman
Exchange Based Hash Function: An Efficient Approach . . . . . . . . . . . . 117
M. Ravikumar, M. C. Prashanth, and B. J. Shivaprasad
Integrated Micro-Video Recommender Based on Hadoop
and Web-Scrapper . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128
Jyoti Raj, Amirul Hoque, and Ashim Saha
Comparison of Machine Learning Techniques to Predict Academic
Performance of Students . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
Bhavesh Patel
Misinformation–A Challenge to Medical Sciences:
A Systematic Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150
Arpita Sharma and Yasha Hasija
Comparative Analysis Grey Wolf Optimization Technique & Its
Diverse Applications in E-Commerce Market Prediction . . . . . . . . . . . . 160
Shital S. Borse and Vijayalaxmi Kadroli
Applying Extreme Gradient Boosting for Surface EMG Based Sign
Language Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175
Shashank Kumar Singh, Amrita Chaturvedi, and Alok Prakash
Automated Sleep Staging System Based on Ensemble Learning
Model Using Single-Channel EEG Signal. . . . . . . . . . . . . . . . . . . . . . . . 186
Santosh Kumar Satapathy, Hari Kishan Kondaveeti,
and Ravisankar Malladi
Histopathological Image Classification Using Ensemble
Transfer Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203
Binet Rose Devassy and Jobin K. Antony
A Deep Feature Concatenation Approach for Lung
Nodule Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213
Amrita Naik, Damodar Reddy Edla, and Ramesh Dharavath
A Deep Learning Approach for Anomaly-Based Network Intrusion
Detection Systems: A Survey and an Objective Comparison . . . . . . . . . 227
Shailender Kumar, Namrata Jha, and Nikhil Sachdeva
Review of Security Aspects of 51 Percent Attack on Blockchain . . . . . . 236
Vishali Aggarwal and Gagandeep
