Computing and Intelligent Systems
Applied Intelligence and Computing
Editors: Mukesh Saraswat and Rajani Kumari
ISBN : 978-81-955020-9-7
Emerging from the presentations of a leading AI conference, "Applied Intelligence and Computing" offers a captivating exploration of cutting-edge research in Artificial Intelligence (AI). This edited volume delves into the practical applications of AI, showcasing how machine learning and other techniques are revolutionizing diverse fields. From finance and healthcare to the development of autonomous vehicles, the book brings together the expertise of leading researchers to illuminate the real-world impact of AI.
Mukesh Saraswat : Prof. Mukesh Saraswat is a Professor and Associate Dean (Innovation) at Jaypee Institute of Information Technology (JIIT), Noida, India. Prof. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 20 years of teaching and research experience. He has guided 04 Ph.D. students and presently guiding 04 Ph.D. students. He has published more than 80 journal and conference papers in the area of image processing, pattern recognition, and soft computing. He was part of a successfully completed project funded by SERB, New Delhi on image analysis and one project funded by CRS, RTU, Kota. He has been an active member of many organizing committees for various conferences and workshops. He is also a Faculty in charge of Jaypee Youth Club at JIIT, Noida. He is also a guest editor of the Array, Journal of Swarm Intelligence, SN Computer Science, and Journal of Intelligent Engineering Informatics. He is one of the General Chairs of the International Conference on Data Science and Applications. He is also an Advisory Board Member of the Journal MethodsX. He is also a series editor of the SCRS Book Series on Computing and Intelligent Systems (CIS). He is an active member of ACM, CSI, and SCRS Professional Bodies.
saraswatmukesh@gmail.com
Jaypee Institute of Information Technology, Noida, India
Rajani Kumari : Dr. Rajani Kumari is an assistant professor at IBS, Bangalore, Off-Campus Centre of ICFAI Foundation for Higher Education (IFHE) University, India. Previously, she was associated with CHRIST University Bangalore, JECRC University Jaipur, and St. Xavier's College, Jaipur. She has more than 12 years of experience in AI and ML. She received a Ph.D. in computer science from Jagannath University, MTech in Data Science from BITS Pilani, and M.C.A. and B.C.A. from the University of Rajasthan. She has published more than forty research papers in various international journals/conferences and participated in many national and international conferences and workshops. She edited some special issues in Taylor & Francis and Inder science journals, including the Journal of Information and Optimization Sciences (JIOS) and the International Journal of Intelligent Information and Database Systems (IJIIDS). Her research interests include Machine Learning, Artificial Intelligence, Soft Computing, and Computational Intelligence.
rajani.kumari@ibsindia.org
IBS, Bangalore, Off-Campus Centre of ICFAI Foundation for Higher Education (IFHE) University
Chapters of Applied Intelligence and Computing
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Spine to Brain Communication and Reverse Engineering for Sensing the Neuron’s Command Generation using E-Frequency Modulation Graph Signals
Authors: Raginee Tripathi
Cite as: Raginee Tripathi, "Spine to Brain Communication and Reverse Engineering for Sensing the Neuron’s Command Generation using E-Frequency Modulation Graph Signals", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 1-8. https://doi.org/10.56155/978-81-955020-9-7-1
Pages 1-8
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The Role of Chaos Engineering in DevOps for Software Robustness
Authors: Nihar Ajay Mhatre, Mugdha Shailendra Kulkarni and Fatima Ali
Cite as: Nihar Ajay Mhatre, Mugdha Shailendra Kulkarni and Fatima Ali, "The Role of Chaos Engineering in DevOps for Software Robustness", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 9-17. https://doi.org/10.56155/978-81-955020-9-7-2
Pages 9-17
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Proposal for a Model to Strengthen Trust in Data Exchange Platforms Through the use of Blockchains and National Digital Identity
Authors: Pape Mamadou Djidiack FAYE and Amadou Dahirou Gueye
Cite as: Pape Mamadou Djidiack FAYE and Amadou Dahirou Gueye, "Proposal for a Model to Strengthen Trust in Data Exchange Platforms Through the use of Blockchains and National Digital Identity", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 19-31. https://doi.org/10.56155/978-81-955020-9-7-3
Pages 19-31
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Enzyme Classification through Structural Bioinformatics and Advanced Machine Learning Algorithms
Authors: Pratham Kaushik, Kanwarpartap Singh Gill, Nitin Thapliyal and Ramesh Singh Rawat
Cite as: Pratham Kaushik, Kanwarpartap Singh Gill, Nitin Thapliyal and Ramesh Singh Rawat, "Enzyme Classification through Structural Bioinformatics and Advanced Machine Learning Algorithms", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 33-40. https://doi.org/10.56155/978-81-955020-9-7-4
Pages 33-40
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CNN-Mobilized Health: Visual Classification of Smokers using MobileNetV2 CNN Model
Authors: Mohit Beri, Kanwarpartap Singh Gill, Deepak Upadhyay and Swati Devliyal
Cite as: Mohit Beri, Kanwarpartap Singh Gill, Deepak Upadhyay and Swati Devliyal, "CNN-Mobilized Health: Visual Classification of Smokers using MobileNetV2 CNN Model", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 41-48. https://doi.org/10.56155/978-81-955020-9-7-5
Pages 41-48
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Stellar Classification using Linear Regression: Insights into Predictive Model Optimization
Authors: Arpanpreet Kaur, Kanwarpartap Singh Gill, Sonal Malhotra and Swati Devliyal
Cite as: Arpanpreet Kaur, Kanwarpartap Singh Gill, Sonal Malhotra and Swati Devliyal, "Stellar Classification using Linear Regression: Insights into Predictive Model Optimization", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 49-55. https://doi.org/10.56155/978-81-955020-9-7-6
Pages 49-55
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Industry 4.0 Meets Gastronomy: Elevating Pandang Cuisine Sorting with Cutting-Edge Transfer Learning
Authors: Mohit Beri, Kanwarpartap Singh Gill, Deepak Upadhyay and Swati Devliyal
Cite as: Mohit Beri, Kanwarpartap Singh Gill, Deepak Upadhyay and Swati Devliyal, "Industry 4.0 Meets Gastronomy: Elevating Pandang Cuisine Sorting with Cutting-Edge Transfer Learning", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 57-64. https://doi.org/10.56155/978-81-955020-9-7-7
Pages 57-64
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Revolutionizing Retinal Health: AI-Driven Analysis for Early Pathology Detection in OCT Scans
Authors: Mohit Beri, Kanwarpartap Singh Gill, Deepak Upadhyay and Swati Devliyal
Cite as: Mohit Beri, Kanwarpartap Singh Gill, Deepak Upadhyay and Swati Devliyal, "Revolutionizing Retinal Health: AI-Driven Analysis for Early Pathology Detection in OCT Scans", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 65-71. https://doi.org/10.56155/978-81-955020-9-7-8
Pages 65-71
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Analysis of Machine Learning Techniques for Database Optimization
Authors: Darshit Amit Pandya
Cite as: Darshit Amit Pandya, "Analysis of Machine Learning Techniques for Database Optimization", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 73-80. https://doi.org/10.56155/978-81-955020-9-7-9
Pages 73-80
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Simple Neural Network for Identifying Fruit and Leaf Disease in Apple and Mango
Authors: Gautam Dwivedi, John Heribert Nongkynrih and Sunita Warjri
Cite as: Gautam Dwivedi, John Heribert Nongkynrih and Sunita Warjri, "Simple Neural Network for Identifying Fruit and Leaf Disease in Apple and Mango", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 81-90. https://doi.org/10.56155/978-81-955020-9-7-10
Pages 81-90
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Non-invasive Way to Detect Anemia using Machine Learning
Authors: Shyamala Mathi, Furqan Budye, Samiksha Chikka, Ajaz Shaikh and Amir Mithagari
Cite as: Shyamala Mathi, Furqan Budye, Samiksha Chikka, Ajaz Shaikh and Amir Mithagari, "Non-invasive Way to Detect Anemia using Machine Learning", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 91-103. https://doi.org/10.56155/978-81-955020-9-7-11
Pages 91-103
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Safeguarding Finances: State-of-the-Art Fraud Detection Methods for Credit Cards
Authors: Vishnu Kant, Kanwarpartap Singh Gill, Mukesh Kumar and Ruchira Rawat
Cite as: Vishnu Kant, Kanwarpartap Singh Gill, Mukesh Kumar and Ruchira Rawat, "Safeguarding Finances: State-of-the-Art Fraud Detection Methods for Credit Cards", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 105-114. https://doi.org/10.56155/978-81-955020-9-7-12
Pages 105-114
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Deep Learning for Sign Language Recognition: Exploring VGG16 and ResNet50 Capabilities
Authors: Jatin Sharma, Kanwarpartap Singh Gill, Mukesh Kumar and Ruchira Rawat
Cite as: Jatin Sharma, Kanwarpartap Singh Gill, Mukesh Kumar and Ruchira Rawat, "Deep Learning for Sign Language Recognition: Exploring VGG16 and ResNet50 Capabilities", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 115-124. https://doi.org/10.56155/978-81-955020-9-7-13
Pages 115-124
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Innovating Water Purity Analysis with Gradient Boosting Classification Techniques
Authors: Jatin Sharma, Kanwarpartap Singh Gill, Mukesh Kumar and Ruchira Rawat
Cite as: Jatin Sharma, Kanwarpartap Singh Gill, Mukesh Kumar and Ruchira Rawat, "Innovating Water Purity Analysis with Gradient Boosting Classification Techniques", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 125-130. https://doi.org/10.56155/978-81-955020-9-7-14
Pages 125-130
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Image Synthesis using Generative Adversarial Networks
Authors: Kritika Ahuja, Ekta Goyal, Shikha Satsangi and C. Patvardhan
Cite as: Kritika Ahuja, Ekta Goyal, Shikha Satsangi and C. Patvardhan, "Image Synthesis using Generative Adversarial Networks", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 131-144. https://doi.org/10.56155/978-81-955020-9-7-15
Pages 131-144
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Dynamic Transportation Problem
Authors: Rahul Raj Singh, Kartikesh Thakur, Saurabh Kasaudhan and Gurwinder Singh
Cite as: Rahul Raj Singh, Kartikesh Thakur, Saurabh Kasaudhan and Gurwinder Singh, "Dynamic Transportation Problem", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 145-156. https://doi.org/10.56155/978-81-955020-9-7-16
Pages 145-156
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Unlocking Dev Nagri: OCR with CNN
Authors: Saket Maheshwari, Sayantan Sinha and Sachin Upadhyayv
Cite as: Saket Maheshwari, Sayantan Sinha and Sachin Upadhyayv, "Unlocking Dev Nagri: OCR with CNN", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 157-167. https://doi.org/10.56155/978-81-955020-9-7-17
Pages 157-167
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Topic Modelling of India’s Digital Healthcare Research Trend
Authors: Munikrishnappa Anilkumar, Manasa Nagabhushanam and Mallieswari R
Cite as: Munikrishnappa Anilkumar, Manasa Nagabhushanam and Mallieswari R, "Topic Modelling of India’s Digital Healthcare Research Trend", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 169-176. https://doi.org/10.56155/978-81-955020-9-7-18
Pages 169-176
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Mathematical Approaches to Securing Kubernetes: Analyzing Log Data Volume in a Complex Landscape
Authors: Gobinda Karmakar and Harwant Singh Arri
Cite as: Gobinda Karmakar and Harwant Singh Arri, "Mathematical Approaches to Securing Kubernetes: Analyzing Log Data Volume in a Complex Landscape", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 177-193. https://doi.org/10.56155/978-81-955020-9-7-19
Pages 177-193
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Computational Approaches for Predicting circRNA-Disease Associations: A Comprehensive Review and Integration of Methods
Authors: Aiswarya Mohan, Deepthi K and Arun TM
Cite as: Aiswarya Mohan, Deepthi K and Arun TM, "Computational Approaches for Predicting circRNA-Disease Associations: A Comprehensive Review and Integration of Methods", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 195-208. https://doi.org/10.56155/978-81-955020-9-7-20
Pages 195-208
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Automate Code Refactoring for Enhanced Software Maintenance and Development
Authors: Atman Ainapure, Aditya Kharote, Tarun Agrawal and Sudhir Dhage
Cite as: Atman Ainapure, Aditya Kharote, Tarun Agrawal and Sudhir Dhage, "Automate Code Refactoring for Enhanced Software Maintenance and Development", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 209-222. https://doi.org/10.56155/978-81-955020-9-7-21
Pages 209-222