Full Description
This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2025), held during 1-2 August 2025 in Bengaluru, India. The book is divided into three volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
Contents
Optimizing Long-Form Text Generation using LLaMA model.- Enhancing Clinical Decision-Making through Explainable AI: Integrating Interpretability Techniques for Transparent Healthcare Models.- Deep Learning Framework for Continuous Multimodal Biometric Authentication.- AI Powered Project Intelligence: Transforming Software Development Outcomes through Strategic Implementation.- Towards a Contra-Xtual policy to enhance critical services identification in multi-tenant service-based systems.- Assessment of Transformer-Based Encoder-Decoder Model for Human-Like Summarization..- Autoencoder Approach to Speech Emotion Recognition and Intensity Estimation using Latent Audio Features.-Industry 5.0: The Impact of Artificial Intelligence in Financial Sector.- Explicit and Implicit Knowledge in Deep Learning: A Systematic Review of Cognitive-Inspired Representations.- Artificial Intelligence and Behavioral Economics as Catalysts for Next-Generation Transformative Public Management in Morocco: Integrating Explainable AI, Digital Twins, Smart Logistics, strategic power skills development, and Adaptive Policy Frameworks for Agile, Trans-parent, and Resilient Governance.- VidGyan: AI-Powered Educational Video Generation from Text Prompts.- Digital Twins and Challenges in Mushroom Farming: A Review.- Controlling AI-Produced Content: A Reinforcement Learning Strategy for GAN-Driven Text Creation.- Benchmarking Chlamydia Screening Rates: A Multilevel Regression and PostStratification Approach.- Bibliometric Analysis of Gifts in the Era of E-commerce: A Data Mining Approach.
