How Machine Learning is Innovating Today's World

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.

• Preface xviiPart 1: Natural Language Processing (NLP) Applications 11 A Comprehensive Analysis of Various Tokenization Techniques and Sequence-to-Sequence Model in Natural Language Processing 3Kuldeep Vayadande, Ashutosh M. Kulkarni, Gitanjali Bhimrao Yadav, R. Kumar and Aparna R. Sawant2 A Review on Text Analysis Using NLP 13Kuldeep Vayadande, Preeti A. Bailke, Lokesh Sheshrao Khedekar, R. Kumar and Varsha R. Dange3 Text Generation & Classification in NLP: A Review 25Kuldeep Vayadande, Dattatray Raghunath Kale, Jagannath Nalavade, R. Kumar and Hanmant D. Magar4 Book Genre Prediction Using NLP: A Review 37Kuldeep Vayadande, Preeti Bailke, Ashutosh M. Kulkarni, R. Kumar and Ajit B. Patil5 Mood Detection Using Tokenization: A Review 47Kuldeep Vayadande, Preeti A. Bailke, Lokesh Sheshrao Khedekar, R. Kumar and Varsha R. Dange6 Converting Pseudo Code to Code: A Review 57Kuldeep Vayadande, Preeti A. Bailke, Anita Bapu Dombale, Varsha R. Dange and Ashutosh M. KulkarniPart 2: Machine Learning Applications in Specific Domains 697 Evaluating the Readability of English Language Using Machine Learning Models 71Shiplu Das, Abhishikta Bhattacharjee, Gargi Chakraborty and Debarun Joardar8 Machine Learning in Maximizing Cotton Yield with Special Reference to Fertilizer Selection 89G. Hannah Grace and Nivetha Martin9 Machine Learning Approaches to Catalysis 101Sachidananda Nayak and Selvakumar Karuthapandi10 Classification of Livestock Diseases Using Machine Learning Algorithms 127G. Hannah Grace, Nivetha Martin, I. Pradeepa and N. Angel11 Image Enhancement Techniques to Modify an Image with Machine Learning Application 139Shiplu Das, Sohini Sen, Debarun Joardar and Gargi Chakraborty12 Software Engineering in Machine Learning Applications: A Comprehensive Study 159Kuldeep Vayadande, Komal Sunil Munde, Amol A. Bhosle, Aparna R. Sawant and Ashutosh M. Kulkarni13 Machine Learning Applications in Battery Management System 173Ponnaganti Chandana and Ameet Chavan14 ML Applications in Healthcare 201Farooq Shaik, Rajesh Yelchurri, Noman Aasif Gudur and Jatindra Kumar Dash15 Enhancing Resource Management in Precision Farming through AI-Based Irrigation Optimization 221Salina Adinarayana, Matha Govinda Raju, Durga Prasad Srirangam, Devee Siva Prasad, Munaganuri Ravi Kumar and Sai babu veesam16 An In-Depth Review on Machine Learning Infusion in an Agricultural Production System 253Sarthak Dash, Sugyanta Priyadarshini and Sukanya PriyadarshiniPart 3: Artificial Intelligence and Optimization Techniques 27117 Reinforcement Learning Approach in Supply Chain Management: A Review 273Rajkanwar Singh, Pratik Mandal and Sukanta Nayak18 Alternate Approach to Solve Differential Equations Using Artificial Neural Network with Optimization Technique 303Ramanan R., Sukanta Nayak and Arun Kumar Gupta19 GPT-3- and DALL-E-Powered Applications: A Complete Survey 329Kuldeep Vayadande, Chaitanya B. Pednekar, Priya Anup Khune, Vinay Sudhir Prabhavalkar and Varsha R. Dange20 New Variation of Exam Scheduling Problem Using Graph Coloring 343Angshu Kumar Sinha, Soumyadip Laha, Debarghya Adhikari, Anjan Koner and Neha DeoraPart 4: Emerging Topics in Machine Learning 35321 A Comparative Study of Different Techniques of Text-to-SQL Query Converter 355Kuldeep Vayadande, Preeti A. Bailke, Vikas Janu Nandeshwar, R. Kumar and Varsha R. Dange22 Trust-Based Leader Election in Flying Ad-Hoc Network 367Joydeep Kundu, Sahabul Alam and Sukanta Oraw23 A Survey on Domain of Application of Recommender System 375Sudipto Dhar24 New Approach on M/M/c/K Queueing Models via Single Valued Linguistic Neutrosophic Numbers and Perceptionization Using a Non-Linear Programming Technique 383Antony Crispin Sweety C. and Vennila B.25 The Rise of AI-Generated News Videos: A Detailed Review 423Kuldeep Vayadande, Mustansir Bohri, Mohit Chawala, Ashutosh M. Kulkarni and Asif MursalReferences 449Index 453