Applications of Computational Intelligence in Multi-Disciplinary Research
- 1st Edition - February 16, 2022
- Latest edition
- Editors: Ahmed A. Elngar, Rajdeep Chowdhury, Mohamed Elhoseny, Valentina Emilia Balas
- Language: English
Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts,… Read more
Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing.
- Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods
- Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques
- Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research
Computer scientists and researchers in applied informatics, Artificial Intelligence, data science, and information technology. Students and researchers in a variety of disciplines, including biomedical sciences, bioinformatics, biotechnology, clinical applications, nanotechnology, optimization techniques, and web security
1. Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern
2. A novel crypt-intelligent cryptosystem
3. Behavioral malware detection and classification using deep learning approaches
4. Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things
5. Bluetooth security architecture cryptography based on genetic codons
6. Estimation of the satellite bandwidth required for the transmission of information in supervisory control and data acquisition systems
7. Using artificial intelligence search in solving the camera placement problem
8. Nanotechnology and applications
9. Advances of nanotechnology in plant development and crop protection
10. A methodology for designing knowledge-based systems and applications
11. IoT in healthcare ecosystem
- Edition: 1
- Latest edition
- Published: February 16, 2022
- Language: English
AE
Ahmed A. Elngar
Dr. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. He also serves as an Associate Professor at the American University in the Emirates and as an Adjunct Professor at Woxsen University, India. He is the Founder and Head of the Scientific Innovation Research Group (SIRG) and Director of the Technological and Informatics Studies Center (TISC) at Beni-Suef University. Dr. Elngar has authored over 150 scientific papers and more than 35 books in areas such as data mining, intelligent systems, IoT, and smart environments. His research interests include network security, intrusion detection, AI, machine learning, healthcare systems, and cryptology. He is a member of the Egyptian Mathematical Society and the International Rough Set Society and actively contributes as an editor and reviewer for various international journals. Dr. Elngar is a highly collaborative and interdisciplinary researcher.
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Rajdeep Chowdhury
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Mohamed Elhoseny
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