Computing and Intelligent Systems
Computational Intelligence and Machine Learning
Editors: Sandeep Kumar and Kavita Sharma
Publishing Date: 30-12-2024
ISBN : 978-81-975670-5-6
"Computational Intelligence and Machine Learning" is an edited volume that delves into the cutting-edge developments and applications of computational intelligence (CI) and machine learning (ML) technologies across various domains. The book brings together contributions from leading researchers and practitioners, offering a comprehensive overview of key methodologies, including neural networks, evolutionary algorithms, fuzzy systems, swarm intelligence, and deep learning. Each chapter explores both theoretical foundations and practical implementations, demonstrating how these techniques are transforming industries such as healthcare, finance, robotics, and natural language processing. Emphasizing interdisciplinary approaches, the book also highlights emerging trends, challenges, and future directions in the field, making it a valuable resource for students, researchers, and professionals seeking to deepen their understanding of CI and ML. The volume is designed to provide readers with a broad yet detailed per
Sandeep Kumar :
Dr. Sandeep Kumar is currently Professor at CHRIST (Deemed to be University) Bangalore. He is an associate editor for Human-centric Computing and Information Sciences (HCIS) journal published by Springer. He has published more than sixty research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited five books in the area of computer science. His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.
sandpoonia@gmail.com
CHRIST (Deemed to be University) Bangalore
Kavita Sharma :
scrs@sau.ac.in
Government Polytechnic College, Kota (Rajasthan)
Chapters of Computational Intelligence and Machine Learning
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Improving Privacy with Zero Knowledge Proofs
Authors: Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh, Dev Rishi and Vansh Gupta
Cite as: Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh, Dev Rishi and Vansh Gupta, "Improving Privacy with Zero Knowledge Proofs", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 1-10. https://doi.org/10.56155/978-81-975670-5-6-1
Pages 1-10
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RGB Image Detection Model using YOLOv8 for Traffic Targets Detection in Autonomous Vehicles
Authors: Abhishek Kumar Gupta, Shruti Sangam and M. Brindha
Cite as: Abhishek Kumar Gupta, Shruti Sangam and M. Brindha, "RGB Image Detection Model using YOLOv8 for Traffic Targets Detection in Autonomous Vehicles", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 11-20. https://doi.org/10.56155/978-81-975670-5-6-2
Pages 11-20
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AI-Driven Recognition of Indian Medicinal Flora using Convolutional Neural Networks
Authors: Rajlaxmi Roy, Rajrupa Roy and Debasmita Chatterjee
Cite as: Rajlaxmi Roy, Rajrupa Roy and Debasmita Chatterjee, "AI-Driven Recognition of Indian Medicinal Flora using Convolutional Neural Networks", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 21-33. https://doi.org/10.56155/978-81-975670-5-6-3
Pages 21-33
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Smart Food Innovation: Creating Hemp Seed Laddus with Rice Flour using IoT Integration
Authors: Vadita Pal and Kusum Lata
Cite as: Vadita Pal and Kusum Lata, "Smart Food Innovation: Creating Hemp Seed Laddus with Rice Flour using IoT Integration", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 35-44. https://doi.org/10.56155/978-81-975670-5-6-4
Pages 35-44
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NeuroVoice: Leveraging Neural Networks for Precise Gender Classification in Audio
Authors: Rekha Kaushik, Pritam Goyal and Atharv Pandey
Cite as: Rekha Kaushik, Pritam Goyal and Atharv Pandey, "NeuroVoice: Leveraging Neural Networks for Precise Gender Classification in Audio", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 45-55. https://doi.org/10.56155/978-81-975670-5-6-5
Pages 45-55
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Enhancing Smart Contract Security Through Obfuscation: Verification via Control Flow Graph Analysis
Authors: Karishma Yadav and Smita Naval
Cite as: Karishma Yadav and Smita Naval, "Enhancing Smart Contract Security Through Obfuscation: Verification via Control Flow Graph Analysis", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 57-84. https://doi.org/10.56155/978-81-975670-5-6-6
Pages 57-84
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Reportlab Based Transcription Transformer
Authors: P. Anjaneyulu, D. Priyanka, Y. Manaswini, G. Sanjana, B. Sai Haneesha, B. Manideep and M. Harshitha
Cite as: P. Anjaneyulu, D. Priyanka, Y. Manaswini, G. Sanjana, B. Sai Haneesha, B. Manideep and M. Harshitha, "Reportlab Based Transcription Transformer", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 85-96. https://doi.org/10.56155/978-81-975670-5-6-7
Pages 85-96
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Chronological Analysis of Rigvedic Mandalas using Social Networks
Authors: Shreekanth M Prabhu and Radhakrishnan Gopalapillai
Cite as: Shreekanth M Prabhu and Radhakrishnan Gopalapillai, "Chronological Analysis of Rigvedic Mandalas using Social Networks", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 97-110. https://doi.org/10.56155/978-81-975670-5-6-8
Pages 97-110
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Enhancing STEM Education through Data Science: Predicting Electric Motor Performance with Linear and OLS Regression
Authors: Sundeep H Deulkar and Sagarika Pramod
Cite as: Sundeep H Deulkar and Sagarika Pramod, "Enhancing STEM Education through Data Science: Predicting Electric Motor Performance with Linear and OLS Regression", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 111-120. https://doi.org/10.56155/978-81-975670-5-6-9
Pages 111-120
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Gaussian Process Regression for State of Charge Prediction: Overcoming Temperature Variability in Li-ion Battery Applications
Authors: Md Ismail Hossain, KhandokerMainul Islam, Tarifuzzaman Riyad, Md Rafsan Jany, Al Shahriar Zishan and Mohammad Nasir Uddin
Cite as: Md Ismail Hossain, KhandokerMainul Islam, Tarifuzzaman Riyad, Md Rafsan Jany, Al Shahriar Zishan and Mohammad Nasir Uddin, "Gaussian Process Regression for State of Charge Prediction: Overcoming Temperature Variability in Li-ion Battery Applications", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 121-130. https://doi.org/10.56155/978-81-975670-5-6-10
Pages 121-130
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Impact of Interpretability on Bias in ECG-Based Models for Cardiac Disease Detection
Authors: Saroj Kumari and Raghav Mehra
Cite as: Saroj Kumari and Raghav Mehra, "Impact of Interpretability on Bias in ECG-Based Models for Cardiac Disease Detection", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 131-148. https://doi.org/10.56155/978-81-975670-5-6-11
Pages 131-148
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AI-Driven NLP Solutions for Intelligent Recommendation Systems Deep Learning Meets NLP and Recommender Systems-Practical and Research-Oriented Insights
Authors: Suharsh Anand and Harish Sharma
Cite as: Suharsh Anand and Harish Sharma, "AI-Driven NLP Solutions for Intelligent Recommendation Systems Deep Learning Meets NLP and Recommender Systems-Practical and Research-Oriented Insights", In: Sandeep Kumar and Kavita Sharma (eds), Computational Intelligence and Machine Learning, SCRS, India, 2025, pp. 149-172. https://doi.org/10.56155/978-81-975670-5-6-12
Pages 149-172