Advanced Computing
Description
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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Content
.- 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.
