Proceedings of World Conference on Artificial Intelligence: Advances and Applications
WCAIAA 2024
Series: Algorithms for Intelligent Systems;
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Product details:
- Edition number 2024
- Publisher Springer Nature Singapore
- Date of Publication 1 October 2024
- Number of Volumes 1 pieces, Book
- ISBN 9789819744954
- Binding Hardback
- No. of pages474 pages
- Size 235x155 mm
- Language English
- Illustrations XVI, 474 p. 225 illus., 192 illus. in color. Illustrations, black & white 592
Categories
Long 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.
MoreTable of 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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