How Machine Learning is Innovating Today's World
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Persons
Arindam Dey, PhD, is an associate professor at the School of Computer Science, VIT-AP University, India. He has published more than 50 research articles in national and international peer-reviewed journals. Dr. Dey has 14 years of teaching and research experience in the areas of optimization and genetic algorithms.
Sukanta Nayak, PhD, is an assistant professor in the Department of Mathematics, School of Advanced Sciences (SAS) at VIT-AP University, Amaravati, Andhra Pradesh, India. He completed his doctoral research at NIT Rourkela, has authored three books, and published numerous research articles in international journals.
Ranjan Kumar, PhD, is an assistant professor in the Department of Mathematics, School of Advanced Sciences (SAS) at VIT-AP University, Amaravati, Andhra Pradesh, India. He has numerous peer-reviewed research articles to his name and is the recipient of numerous awards and titles including an Honorary Professorship from Cypress International Institute University, Texas, USA.
Sachi Nandan Mohanty, PhD, is in the School of Computer Science and Engineering (SCOPE) at VIT-AP University, Amaravati, Andhra, Pradesh, India. He has edited 25 books and published 60 international journals of international repute. His research areas include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition, and computational intelligence. In 2015, he was awarded the first prize of the Best Thesis Award by the Computer Society of India.
Content
Preface xvii
Part 1: Natural Language Processing (NLP) Applications 1
1 A Comprehensive Analysis of Various Tokenization Techniques and Sequence-to-Sequence Model in Natural Language Processing 3
Kuldeep Vayadande, Ashutosh M. Kulkarni, Gitanjali Bhimrao Yadav, R. Kumar and Aparna R. Sawant
2 A Review on Text Analysis Using NLP 13
Kuldeep Vayadande, Preeti A. Bailke, Lokesh Sheshrao Khedekar, R. Kumar and Varsha R. Dange
3 Text Generation & Classification in NLP: A Review 25
Kuldeep Vayadande, Dattatray Raghunath Kale, Jagannath Nalavade, R. Kumar and Hanmant D. Magar
4 Book Genre Prediction Using NLP: A Review 37
Kuldeep Vayadande, Preeti Bailke, Ashutosh M. Kulkarni, R. Kumar and Ajit B. Patil
5 Mood Detection Using Tokenization: A Review 47
Kuldeep Vayadande, Preeti A. Bailke, Lokesh Sheshrao Khedekar, R. Kumar and Varsha R. Dange
6 Converting Pseudo Code to Code: A Review 57
Kuldeep Vayadande, Preeti A. Bailke, Anita Bapu Dombale, Varsha R. Dange and Ashutosh M. Kulkarni
Part 2: Machine Learning Applications in Specific Domains 69
7 Evaluating the Readability of English Language Using Machine Learning Models 71
Shiplu Das, Abhishikta Bhattacharjee, Gargi Chakraborty and Debarun Joardar
8 Machine Learning in Maximizing Cotton Yield with Special Reference to Fertilizer Selection 89
G. Hannah Grace and Nivetha Martin
9 Machine Learning Approaches to Catalysis 101
Sachidananda Nayak and Selvakumar Karuthapandi
10 Classification of Livestock Diseases Using Machine Learning Algorithms 127
G. Hannah Grace, Nivetha Martin, I. Pradeepa and N. Angel
11 Image Enhancement Techniques to Modify an Image with Machine Learning Application 139
Shiplu Das, Sohini Sen, Debarun Joardar and Gargi Chakraborty
12 Software Engineering in Machine Learning Applications: A Comprehensive Study 159
Kuldeep Vayadande, Komal Sunil Munde, Amol A. Bhosle, Aparna R. Sawant and Ashutosh M. Kulkarni
13 Machine Learning Applications in Battery Management System 173
Ponnaganti Chandana and Ameet Chavan
14 ML Applications in Healthcare 201
Farooq Shaik, Rajesh Yelchurri, Noman Aasif Gudur and Jatindra Kumar Dash
15 Enhancing Resource Management in Precision Farming through AI-Based Irrigation Optimization 221
Salina Adinarayana, Matha Govinda Raju, Durga Prasad Srirangam, Devee Siva Prasad, Munaganuri Ravi Kumar and Sai babu veesam
16 An In-Depth Review on Machine Learning Infusion in an Agricultural Production System 253
Sarthak Dash, Sugyanta Priyadarshini and Sukanya Priyadarshini
Part 3: Artificial Intelligence and Optimization Techniques 271
17 Reinforcement Learning Approach in Supply Chain Management: A Review 273
Rajkanwar Singh, Pratik Mandal and Sukanta Nayak
18 Alternate Approach to Solve Differential Equations Using Artificial Neural Network with Optimization Technique 303
Ramanan R., Sukanta Nayak and Arun Kumar Gupta
19 GPT-3- and DALL-E-Powered Applications: A Complete Survey 329
Kuldeep Vayadande, Chaitanya B. Pednekar, Priya Anup Khune, Vinay Sudhir Prabhavalkar and Varsha R. Dange
20 New Variation of Exam Scheduling Problem Using Graph Coloring 343
Angshu Kumar Sinha, Soumyadip Laha, Debarghya Adhikari, Anjan Koner and Neha Deora
Part 4: Emerging Topics in Machine Learning 353
21 A Comparative Study of Different Techniques of Text-to-SQL Query Converter 355
Kuldeep Vayadande, Preeti A. Bailke, Vikas Janu Nandeshwar, R. Kumar and Varsha R. Dange
22 Trust-Based Leader Election in Flying Ad-Hoc Network 367
Joydeep Kundu, Sahabul Alam and Sukanta Oraw
23 A Survey on Domain of Application of Recommender System 375
Sudipto Dhar
24 New Approach on M/M/c/K Queueing Models via Single Valued Linguistic Neutrosophic Numbers and Perceptionization Using a Non-Linear Programming Technique 383
Antony Crispin Sweety C. and Vennila B.
25 The Rise of AI-Generated News Videos: A Detailed Review 423
Kuldeep Vayadande, Mustansir Bohri, Mohit Chawala, Ashutosh M. Kulkarni and Asif Mursal
References 449
Index 453
