Proceedings of World Conference on Artificial Intelligence: Advances and Applications : WCAIAA 2024 (Algorithms for Intelligent Systems)

Proceedings of World Conference on Artificial Intelligence: Advances and Applications : WCAIAA 2024 (Algorithms for Intelligent Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 474 p.
  • 言語 ENG
  • 商品コード 9789819744985

Full 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.

Contents

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.

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