| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Advanced computing/ edited by Deepak Garg ... [et al.]. |
| Reminder of title: |
14th International Conference, IACC 2024, Bali, Indonesia, December 13-14, 2024 : revised selected papers / |
| remainder title: |
IACC 2024 |
| other author: |
Garg, Deepak. |
| corporate name: |
IEEE International Advance Computing Conference |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xxi, 256 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer science - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-84602-1 |
| ISBN: |
9783031846021 |