Advanced Computing (eBook, PDF)

14th International Conference, IACC 2024, Bali, Indonesia, December 13-14, 2024, Revised Selected Papers
Redaktion: Garg, Deepak; Najafzadeh, Mohammad; Gupta, Suneet Kumar; Pendyala, Vishnu

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 14th International Conference on Advanced Computing, IACC 2024, held in Bali, Indonesia, during December 13-14, 2024.

The 17 full papers presented in this book were carefully reviewed and selected from 89 submissions. They focus on topics such as: Advancements in Artificial Intelligence and Machine Learning; Applications of Large Language Models; AI in Healthcare and Medical Imaging; AI for Disaster Management and Renewable Energy and Challenges and Ethical Considerations in AI.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 256
• Erscheinungstermin: 4. Juni 2025
• Englisch
• ISBN-13: 9783031846021
• Artikelnr.: 74348371

Inhaltsangabe

.- Section 1: Advancements in Artificial Intelligence and Machine Learning.

.- Extractive Text Summarization Employing a Graph-Based Ranking System with Context Transfer.

.- ViT-GPT2: Vision Transformer Based Automatic Image Captioning.

.- Multimodal Language Models for End-to-End Automated Speech Recognition Using Bidirectional Recurrent Neural Network.

.- Advanced Deep-Learning Framework for Comprehensive Audio Forensics: Classification and Frequency Analysis.

.- Enhancing Deep fake Detection Accuracy with Vision Transformers: A Generative AI Approach.

.- Section 2. Applications of Large Language Models.

.- Large Language Models for Quantitative Analysis of Statutory Stringency and its Correlation with Sexual Assault Crime Rates.

.- Application of Large Language Models for Search Engine Optimization: Methodology for Assessing the Efficiency of Content Creation.

.- Real-Time Query Management with FAQ Generation for Large Scale Online Classes.

.- Enhancing Warehouse Operations with Voice-Activated SQL Streamlining Using LLM Technology.

.- Section 3. AI in Healthcare and Medical Imaging.

.- Enhancing Medicinal Plant Prediction Through Deep Neural Network Algorithms.

.- A Comprehensive Review of Medical Image Captioning: Techniques, Challenges, and Future Directions.

.- An Explainable Artificial Intelligence Based Approach for Prediction and Classification of Multiple Sclerosis Disease: A Mental Health Disorder.

.- Multimodal Image Prior Integration for Unsupervised MRI Super-Resolution with Guided Residual Dense Networks.

.- Section 4. AI for Disaster Management and Renewable Energy.

.- AID-SAR: Aerial Image Dataset for Search and Rescue in the Aftermath of Disasters.

.- Solar PV Power Generation Forecasting Using Synergy of Artificial Intelligence and Metaheuristics Based Approaches.

.- Section 5. Challenges and Ethical Considerations in AI.

.- Unraveling the Enigma of Classification of Synthetic and Genuine Information Using Machine Learning and Explainable AI.

.- Challenges and Limitations of TVAE Tabular Synthetic Data Generator.