Narayan Vyas, an academician at Vivekananda Global University, specializes in computer science, focusing on IoT and Mobile App Development. He has trained over 1000 students globally and published extensively in Scopus journals. An active IEEE member, his research interests include Remote Sensing, Machine Learning, and Computer Vision.
Multimodal Data Fusion for Bioinformatics Artificial Intelligence
Price: 224.95 $ | Publisher: Scrivener Publishing LLC
Editors: Umesh Kumar Lilhore, Abhishek Kumar, Narayan Vyas, Sarita Simaiya, Vishal Dutt
Release Date: 10 February 2025 | Copyright: © 2025 Scrivener Publishing LLC | Language: English | Categories: Bioinformatics, Artificial Intelligence, Data Fusion, Multimodal
ISBN: 9781394269938 | 9781394269969 | DOI: 10.1002/9781394269969
Multimodal Data Fusion for Bioinformatics Artificial Intelligence is a must-have for anyone interested in the intersection of AI and bioinformatics, as it delves into innovative data fusion methods and their applications in ‘omics’ research while addressing the ethical implications and future developments shaping the field today.
Buy NowChapter 1: Advancements and Challenges in Multimodal Data Fusion for Bioinformatics AI
Authors: Priya Batta
Chapter 2: Automated Machine Learning in Bioinformatics
Authors: Pushpendra Kumar, Gagan Thakral, Vivek Kumar, Upendra Mishra
Chapter 3: Data-Driven Discoveries: Unveiling Insights with Automated Methods
Authors: Rakhi Chauhan
Chapter 4: Comparative Analysis of Conventional Machine Learning and Deep Learning Techniques for Predicting Parkinson's Disease
Authors: Monika Sethi, Vidhu Baggan
Chapter 5: Foundations of Multimodal Data Fusion
Authors: Srinivas Kumar Palvadi, G. Kadiravan
Chapter 6: Integrating IoT, Blockchain, and Quantum Machine Learning: Advancing Multimodal Data Fusion in Healthcare AI
Authors: V. Dankan Gowda, J. Rajalakshmi, B. Guruprakash, Venkatesan Hariram, K. D. V. Prasad
Chapter 7: Integrating Multimodal Data Fusion for Advanced Biomedical Analysis: A Comprehensive Review
Authors: Umesh Kumar Lilhore, Sarita Simaiya
Chapter 8: Machine Learning Approaches for Integrating Imaging and Molecular Data in Bioinformatics
Authors: Mandeep Kaur, V. Dankan Gowda, S. Priya, K.D.V. Prasad, Venkatesan Hariram
Chapter 9: Time Series Analysis in Functional Genomics
Authors: Yash Mahajan, Inderjeet Singh, Muskan Sharma, Shweta Sharma
Chapter 10: Review of Multimodal Data Fusion in Machine Learning: Methods, Challenges, Opportunities
Authors: Leena Arya, Yogesh Kumar Sharma, Smitha, Sreelakshmi Doma
Chapter 11: Recent Advancement in Bioinformatics: An In-Depth Analysis of AI Techniques
Authors: Yogesh Kumar Sharma, Leena Arya, Smitha, Shaik Saddam Hussain
Chapter 12: Future Directions and Emerging Trends in Multimodal Data Fusion for Bioinformatics
Authors: V. Dankan Gowda, D. Palanikkumar, K.D.V. Prasad, Mandeep Kaur, Shivoham Singh
Chapter 13: Future Trends in Bioinformatics AI Integration
Authors: Srinivas Kumar Palvadi, G. Kadiravan
Chapter 14: Emerging Technologies in IoM: AI, Blockchain and Beyond
Authors: Sumit Bansal, Vandana Sindhi
Chapter 15: Natural Language Processing in Biomedical Literature
Authors: Molina Mukherjee, Prachi Punia, Adil Husain Rather, Hardik Dhiman
Chapter 16: Biomedical Research Enrichment Through Sentiment Analysis in Patient Feedback: A Natural Language Processing Approach
Authors: Soumitra Saha, Umesh Kumar Lilhore, Sarita Simaiya
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