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This book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts.
Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, Artificial Intelligence (AI), cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains.
- includes real-life case studies highlighting different advanced technologies in Computational Intelligence
- provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics
- reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain
- offers a guided tour of Computational Intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges
- presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics
- includes architectural models and applications-based augmented solutions for optimized Computational Intelligencee.
To begin, the first chapter discusses the emergence of Computational Intelligence in smart sensory settings. Chapter 2 deals with the capabilities of advanced machine intelligence in educational domains. The third chapter addresses the issue of recognizing false data injection attacks with a Machine Learning approach in the industrial IoT sector.
Chapter 4 discusses the analysis of fake news by using modern intelligence-based approaches to prevent misinformation propagation. The fifth chapter addresses the challenges and issues of telemedicine by applying computational intelligence techniques. Chapter 6 demonstrates how to detect and predict crop suitability by deploying machine intelligence in smart sensory settings. The seventh chapter explains the significance of using advanced intelligence methods for smart, IoT-based regulation of road traffic. The eighth chapter presents a succinct analysis of text-based corpora using social network analysis...
Preface
Emergence of Advanced Computational Intelligence Coupled with Smart Environment
Machine Learning-Enabled Integrated Information Platform for Educational Universities
False Data Injection Attack Detection Using Machine Learning in Industrial Internet of Things
Fake News Detection: Restricting Spreading of Misinformation Using Machine Learning
Adaptability, Flexibility, and Accessibility Through Telemedicine
Crop Prediction by Implementing Machine Learning in an IoT-Based System
Relevance of Smart Management of Road Traffic System Using Advanced Intelligence
Visualization of Textual Corpora Using Social Network Analysis
Autonomous Intelligent Vehicles: Impact, Current Market, Future Trends, Challenges, and Limitations
Role of Smart and Predictive Healthcare in Modern Society
An Analytical Study on Depression Detection Using Machine Learning
Revolutionizing Healthcare: Empowering Faster Treatment with IoT-Powered Smart Healthcare
Machine Learning Algorithms for Initial Diagnosis of ParkinsonвЂs Disease
Towards a Sustainable Future: Harnessing the Power of Computational Intelligence to Track Climate Change
Impact of Computational Intelligence and Modeling in Tackling Weather Fluctuation