Recent Advancements in Computational Intelligence: Concepts, Methodologies and Applications (Part 1)
- English
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- Available on iOS & Android
Recent Advancements in Computational Intelligence: Concepts, Methodologies and Applications (Part 1)
About this book
Recent Advancements in Computational Intelligence: Concepts, Methodologies and Applications (Part 1) is an in-depth exploration of computational intelligence (CI), a rapidly evolving field blending artificial intelligence, machine learning, and data-driven problem-solving. The book focuses on biologically inspired methods such as neural networks, fuzzy logic, swarm intelligence, and evolutionary algorithms; it showcases how CI addresses complex real-world problems marked by uncertainty and incomplete data. Integrating theory with Industry 4.0 applications, the book spans diverse domains including healthcare, autonomous systems, cybersecurity, and smart computing. Structured across thematic sections like Social Computing, High-Performance Computing, Network Science, Smart Computing, and Intelligent Communications, it covers topics like deep learning for autonomous vehicles, AI-driven healthcare diagnostics, graph theory in cybersecurity, and reinforcement learning for generative AI. With contributions from international experts, it bridges foundational principles with applied research and case studies. Key Features: • Integrates emerging trends such as generative AI, edge computing, and reinforcement learning. • Demonstrates practical relevance through real-world case studies and industrial applications. • Promotes interdisciplinary understanding across computer science, engineering, and healthcare. • Provides actionable methodologies for researchers and practitioners advancing CI innovation. • Highlights the fusion of theory and practice in intelligent, adaptive systems.
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Table of contents
- Welcome
- Table of Contents
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- FOREWORD
- PREFACE
- List of Contributors
- Recent Advancements and Applications of Computational Intelligence
- Unleashing AI at the Edge: Transforming Computing
- Secured Edge Cloud Data Management in Autonomous Vehicles Powered by Deep Learning Technologies
- Hybrid Filter Denoising and Dehazing for Enhancing Low-Quality Images
- A Generative Adversarial Model IGAN for Intrusion Detection Systems in the Industrial Internet of Things Environment
- Enhancement via User Engagement and Evaluation within Video Content
- A Hybrid Deep Learning-Based Intelligent Model for Academic Support Chatbot
- A Chatbot-based Assistant for Mental Health Disorders Using Transformers
- Exploring Reinforcement Learning Techniques in Generative Artificial Intelligence
- Reinforcement Learning for Power Distribution Grid Optimization
- Value Vue: AI-driven Price Prediction and Comparable Companion Using NLP and Cloud Computing
- Secure Password Generation Using GIBP and Multi-Factor Authentication