Research Advances in Intelligent Computing: Volume 2

Author:   Anshul Verma (Banaras Hindu University, India) ,  Pradeepika Verma (IIT (BHU), India)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032561172


Pages:   244
Publication Date:   21 May 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Research Advances in Intelligent Computing: Volume 2


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Author:   Anshul Verma (Banaras Hindu University, India) ,  Pradeepika Verma (IIT (BHU), India)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
ISBN:  

9781032561172


ISBN 10:   1032561173
Pages:   244
Publication Date:   21 May 2026
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

List of Contributors. Preface. Acknowledgements. 1. A New Range Selection Method For Global Best Worst Particle Swarm Optimization. 2. Automatic Speech Recognition For The Cleft Patients Using Deep Learning Techniques. 3. Dynamics of Underwater Acoustic Signal Processing: An Underwater Acoustic Marine Habitat Monitoring Application Perspective. 4. Visual Question Answering VGA on Radiology Image - A Survey of Methods And Techniques. 5. A Comparative Approach For Speech Emotion Recognition Using CNN And Branch CNN. 6. Revolutionizing Agriculture: A Comprehensive Review of Artificial Intelligence Techniques In Farming. 7. Prediction of Vitiligo Skin Disease Spreading Rate by Image Processing. 8. A Comparative Analysis of Different Approaches to Lexical and Semantic Document Similarity. 9. Artificial Intelligence In Banking And Financial Services. 10. Healthcare Applications on Federated Deep Learning For Cyber Security In The Internet of Things. 11. Prediction of Suicidal Risk Using Machine Learning Models. 12. Information Extraction And Summarization of Medical Reports Using Textract And GPT-2. 13. A Comparative Study on Prediction of Soil Health and Crop Recommendation Using Machine Learning Models. 14. Marine Soundscape Source Separation In The Indian Ocean Region (IOR) Soundscape Using Unsupervised Machine Learning.

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Author Information

Dr. Anshul Verma received M.Tech. and Ph.D. degrees in Computer Science & Engineering from ABV-Indian Institute of Information Technology and Management Gwalior, India. He has done Post-doctorate from Indian Institute of Technology Kharagpur, India. Currently, he is serving as Assistant Professor in Department of Computer Science, Institute of Science, Banaras Hindu University Varanasi, India. He has also served as faculty member in Computer Science & Engineering Department at Motilal Nehru National Institute of Technology (MNNIT) Allahabad and National Institute of Technology (NIT) Jamshedpur, India. His research interests include IoT, Mobile ad-hoc networks, Distributed systems, Formal verification, and Mobile computing. He is serving as Editor of the Journal of Scientific Research of the Banaras Hindu University. Dr. Pradeepika Verma received her Ph.D. degree in Computer Science and Engineering from the Indian Institute of Technology (ISM) Dhanbad, India. She has received M.Tech in Computer Science and Engineering from Banasthali University, Rajasthan, India. Currently, she is working as a Faculty Fellow in Technical Innovation Hub at Indian Institute of Technology, Patna, India. She has worked as a Post-Doctoral Fellow in Department of Computer Science and Engineering at Indian Institute of Technology (BHU), Varanasi, India. She has also worked as an Assistant Professor in the Department of Computer Science and Engineering at Pranveer Singh Institute of Technology, Kanpur, India, and as a Faculty Member in the Department of Computer Application at the Institute of Engineering and Technology, Lucknow, India. Her current research interests include natural language processing, optimization approaches, information retrieval and Mobile ad-hoc networks.

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