Proceedings of World Conference on Artificial Intelligence: Advances and Applications
Description
This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2024), organized by Sir Padampat Singhania University, India, and is technically sponsored by Soft Computing Research Society during February 22-23, 2024. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain-machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human-computer interaction, intelligent sensor, devices and applications, and intelligent database systems.
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Persons
Dr. Ashish Kumar Tripathi (Member, IEEE) received his M.Tech. and Ph.D. degrees in Computer Science and Engineering from Delhi Technological University, Delhi, India, in 2013 and 2019, respectively. He is currently working as an assistant professor with the Department of Computer Science & Engineering, Malviya National Institute of Technology (MNIT), Jaipur, India. His research interests include big data analytics, social media analytics, soft computing, image analysis, and natural language processing. He has published several papers in international journals and conferences including IEEE transactions. He is an active reviewer for several journals of repute.
Prof. Darpan Anand is a qualified Ph.D. (CS) contributing over 20+ years in Teaching (CS) Computer Science and Engineering at various top universities and engineering schools/institutes with 20+ years in Teaching (CS), research as well as academics, and 6+ years of industrial experience including 2+years of onsite software development. He is an academic leader in Teaching, Curriculum Design & Improvisation, Supervise Departmental research efforts, Technical Evaluation of Prospective faculty, Budgetary and Academic Management of the Department, and targets outcome of projects. His current research interests include Information Security, Software Defined Network, Data Science-AI& ML, and e-governance. He has guided several Ph.D. & PG Dissertations. He is an author/co-author of more than 60+research papers (indexed in SCI, ESCI, Scopus, etc.), various books and book chapters (IET, Springer, and Elsevier), patents, etc. He is also a member of various esteemed research associations such as IEEE, ACM, IAENG, TAEI, CSI, AIS, CSTA, etc.
Prof. Atulya Nagar holds the Foundation Chair as a professor of Mathematics at Liverpool Hope University. Atulya Nagar has been the dean of Faculty of Science from May 2014 to September 2019 and a head of School of Mathematics, Computer Science, and Engineering from September 2007 to August 2022. A mathematician by training, Atulya Nagar possesses multi-disciplinary expertise in Nonlinear Mathematics, Natural Computing, Bio-Mathematics and Computational Biology, Operations Research, and Control Systems Engineering. Atulya Nagar has an extensive background and experience of working in Universities in the UK and India.
Atulya Nagar has edited volumes on Intelligent Systems and Applied Mathematics; Atulya Nagar was the founding series editor for Springer Book Series on Algorithms for Intelligent Systems (AIS) and has been the editor-in-chief of the International Journal of Artificial Intelligence and Soft Computing (IJAISC) until 2021.
Content
Chapter 1: A Novel Meta-Analysis and Classification of Herbal Medicinal Plant Raw Materials for Food Consumption Prediction Using Hybrid Deep Learning Techniques Based on Augmented Reality in Computer Vision.- Chapter 2: SoWhat: Real-Time Crop and Fertilizer Predictor.- Chapter 3: Access Control in IoT: A Comprehensive Survey of Challenges, Approaches, and Future Directions.- Chapter 4: Unveiling the Influential Dynamics: Personal Innova-tion and Word of Mouth in Shaping Online Pharmacy Adoption.- Chapter 5: A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning.- Chapter 6: Fully Homomorphic Encryption for Embedded Systems: IP Core Design and Implementation.- Chapter 7: Financial Time Series Forecasting Using Hybrid Evolutionary Extreme Learning Machine.- Chapter 8: Enhancing Childbirth Delivery Mode Prediction: A Machine Learning Hybrid Ensemble Approach.- Chapter 9: Exploring the Efficiency of Vedic Mathematics on FPGA and ASIC: A Performance Analysis.- Chapter 10: A Novel Approach For Energy Efficient Clustering Using NWOT-TCHE For Trust Based Cluster Head Election In Wireless Sensor Networks. etc.
