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The purpose of this book is to provide the reader with an overview of the vast range of applications that have at their heart a machine learning problem and to bring some degree of order to sort out the issues. Machine learning explores various approaches to address real-world problems and automate human tasks. This book is a guide to audiences on different machine-learning techniques. Through the use of artificial intelligence, machine learning aids computers in understanding human communication and provides data about obtaining information and knowledge in different fields.
The purpose of this book is to provide the reader with an overview of the vast range of applications that have at their heart a machine learning problem and to bring some degree of order to sort out the issues. Machine learning explores various approaches to address real-world problems and automate human tasks. This book is a guide to audiences on different machine-learning techniques. Through the use of artificial intelligence, machine learning aids computers in understanding human communication and provides data about obtaining information and knowledge in different fields.
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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.
Inhaltsangabe
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
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
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