WCAIAA 2024 Tripathi, Ashish Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt Anand, Darpan. editor. edt http://id.loc.gov/vocabulary/relators/edt Nagar, Atulya K. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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access XVI, 474 p. 225 illus., 192 illus. in color. online resource. 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. 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. edited by Ashish Kumar Tripathi, Darpan Anand, Atulya K. Nagar. Computational intelligence Artificial intelligence Natural language processing (Computer science) Data mining Computational Intelligence Artificial Intelligence Natural Language Processing (NLP) Data Mining and Knowledge Discovery Q342 9789819744961 https://doi.org/10.1007/978-981-97-4496-1 https://doi.org/10.1007/978-981-97-4496-1 240930 20251030113118.0 978-981-97-4496-1