Description
This book is a compilation of different research contributions, all relating to the application of Artificial Intelligence (AI) in Smart Infrastructures. The included chapters deal with new opportunities and challenges presented by emerging technologies in healthcare, cybersecurity, smart infrastructure, sustainable energy, and intelligent automation. Each included chapter provides a detailed description of either a prototype, case study, project or solution developed by researchers. In addition, this book provides in-depth explanations of how the state-of-the-art technologies are being integrated into real-world applications through the use of advanced computational models. The overall objective of this book is to provide researchers and practitioners with a compilation of conceptual and practical applications in the areas of multimodal learning, explainable AI, hybrid optimization framework, predictive analytics, and autonomous systems.
A Hybrid Approach for Malware Classification Using Trimodal Deep Learning Framework.- Automated Data Analysis and Model Builder: A Unified Framework for Machine Learning Model Benchmarking.- Real-Time Cyber attack Detection in Communication Networks Using Deep Learning.- Secure Embedded Systems Design Using AI-Based Threat Detection Techniques.- Hybrid Genetic Algorithm: Neural Network Framework for Stock Market Prediction in Cloud Computing Environments.- An Efficient Business Intelligence Method to Analyze Credit Risk Management Using Deep Learning.- INTELLIVEST: AN AI-ENHANCED GAMIFIED PLATFORM FOR FINANCIAL LITERACY EDUCATION.- Security Performance Trade-off Analysis of Lightweight Block Ciphers for Resource-Constrained IoT Environments.- An Intelligent IoT-Based Smart Energy Management System Using Generative AI Integration.- An Integrative Review of Psychological, Social and Environmental Determinants of the Mid-Life Crisis Experience.
