Advanced Computing: 14th International Conference, IACC 2024, Bali, Indonesia, December 13-14, 2024, Revised Selected Papers

by Deepak Garg (Editor), Vishnu Pendyala (Editor), Suneet Kumar Gupta (Editor), Mohammad Najafzadeh (Editor)

Overview

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.

Product Details

ISBN-13:	9783031846021
Publisher:	Springer-Verlag New York, LLC
Publication date:	07/06/2025
Series:	Communications in Computer and Information Science , #2434
Sold by:	Barnes & Noble
Format:	eBook
File size:	32 MB
Note:	This product may take a few minutes to download.

Table of Contents

.- 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.