High-Performance Automation Methods for Computational Intelligent Systems by Sharma, Vijay Kumar; Kumar Gupta, Sachin;

Rövid leírás:

The aim of this book is to identify the technological development for future computational systems, which ultimately reflects the more intelligent system. Automation is the need of today’s world, and the computational systems need to be upgraded to that level to perform the required tasks.

Hosszú leírás:

Computational methods are necessary for the proper execution of the applications for the benefit of society and technological development. Technological development makes life easier by constructing powerful systems with the help of computational methods. The nature of computational methods changes from time to time and retains only efficient applicable theories. Researchers take the idea of existing computational systems and advance them as per possible future needs. Efficient computational methods solve complex problems and also help to make the system more intelligent. Automation process requires decision-making computational systems. A more intelligent system contains an efficient computational method, which is described by powerful algorithm development. The aim of this book is to identify the technological development for future computational systems, which ultimately reflects the more intelligent system. Automation has become the need of the hour in today’s world, and hence, the computational systems need to be upgraded to that level to perform the required tasks. The most efficient computational algorithm acts like a human being and offers a full sense of intelligent automation.

This book:

• Presents the latest research trends for the upcoming computational intelligent systems in a comprehensive manner


• Focuses on the integration of multi-purpose and multi-dimension natural language into intelligent systems


• Elaborates on nature-inspired and intelligent behaviour-based computational methods to deal with the observation of nature


• Illustrates applications of quantum cellular energy-efficient computing methods for automation and applications of genetic algorithms in multidisciplinary fields


• Discusses aspects of intelligent automation like technology-based, architecture-based, logic implementation-based, and the different algorithms-based concepts

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

Tartalomjegyzék:

1. Fuzzy Similarity Measures for Clustering Validation. 2. Determination and Classification of Human Blood Contamination Diseases and Rh Factor Using Ensemble Algorithm. 3. Deep Learning Technique for Dark Web Threat Detection and Analysis on Social Media. 4. Energy Efficient Hybrid Algorithm for Reconfiguration in Radial Distribution System. 5. Comprehensive Examination of Automation Approaches for the Study and Detection of Disparate Leaf Diseases using Computational Intelligent Systems. 6. Navigating the Linguistic Landscape: Unveiling the Future Trajectory of Natural Language Processing in an Evolving Digital Era. 7. Securing the Next Dimension: Cybersecurity Strategies for Advanced Computational Intelligence. 8. Meta-Fusion Network for Tumor Classification. 9. Empowering Health care analysis with AI-Enhanced Decision Support - A comparative study using Machine Learning. 10. Precision Marketing: Customer Segmentation through Machine Learning Techniques. 11. Machine Learning Techniques in Network Security: A Comprehensive Survey, Performance Analysis, and Time Complexity Comparison. 12. Role of UAVs during Disaster in Urban or City Block Environment. 13. BHJ Organic Solar Cells: Design and Exploration of Several Modeling Approaches. 14. Design of High-Performance SRAM Cell.