Applications of Computational Intelligence in Multi-Disciplinary Research
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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.
Key Features
- 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
Readership
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
Table of Contents
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Chapter 1. Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern
- Abstract
- Abbreviations
- 1.1 Introduction
- 1.2 Related works
- 1.3 Iris localization
- 1.4 Iris normalization
- 1.5 The proposed feature extraction scheme
- 1.6 Matching results
- 1.7 Performance evaluation
- 1.8 Conclusion
- References
- Chapter 2. A novel crypt-intelligent cryptosystem
- Abstract
- 2.1 Introduction
- 2.2 Related work
- 2.3 Proposed methodology
- 2.4 Discussion
- 2.5 Conclusion and future work
- References
- Chapter 3. Behavioral malware detection and classification using deep learning approaches
- Abstract
- 3.1 Introduction
- 3.2 Deep learning strategies for malware detection
- 3.3 Architecture of CNNs for malware detection
- 3.4 Comparative analysis of CNN approaches
- 3.5 Challenges and future research directions
- 3.6 Conclusion
- References
- Chapter 4. Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things
- Abstract
- 4.1 Introduction
- 4.2 Optimization techniques
- 4.3 Understanding fog/edge computing
- 4.4 Optimizing fog resources
- 4.5 Case studies
- 4.6 Scope of advancements and future research
- 4.7 Conclusion
- References
- Chapter 5. Bluetooth security architecture cryptography based on genetic codons
- Abstract
- 5.1 Introduction
- 5.2 Survey of literature
- 5.3 Plaintext-to-ciphertext conversion process
- 5.4 Conclusion
- 5.5 Future work
- References
- Chapter 6. Estimation of the satellite bandwidth required for the transmission of information in supervisory control and data acquisition systems
- Abstract
- Abbreviations
- 6.1 Introduction
- 6.2 Supervisory control and data acquisition systems
- 6.3 The very small aperture terminal networks
- 6.4 Algorithm for estimating the satellite bandwidth
- 6.5 Challenges and future work
- 6.6 Conclusions
- References
- Chapter 7. Using artificial intelligence search in solving the camera placement problem
- Abstract
- Nomenclature
- 7.1 Introduction
- 7.2 Background
- 7.3 Modeling the visual sensors
- 7.4 Solving the camera placement problem using artificial intelligence search
- 7.5 Further discussion
- 7.6 Conclusion
- References
- Chapter 8. Nanotechnology and applications
- Abstract
- 8.1 Introduction
- 8.2 Nanoscience and nanotechnology
- 8.3 Computational nanotechnology
- 8.4 Applications of computational nanotechnology
- 8.5 Conclusion
- References
- Chapter 9. Advances of nanotechnology in plant development and crop protection
- Abstract
- 9.1 Introduction
- 9.2 Agriculture’s nanofarming: a modern frontier
- 9.3 Synthesis of green nanoparticles and its sources
- 9.4 Good distribution possibilities allowed by nanoparticles: a modern sustainable agriculture portal
- 9.5 Nanofertilizers: a good food supply for crops
- 9.6 Germination, field production, and efficiency enhancement of seed nanomaterials
- 9.7 Plant sensory systems and responses to radical climate change influences nanomaterials
- 9.8 Nanosensors and nanomaterials: perturbation detection and control
- 9.9 Pesticide-based plant safety nanomaterials
- 9.10 Nanotechnology in pesticides and fertilizers
- 9.11 Control of plant pests
- 9.12 Concluding remarks
- Consent for publication
- Conflict of interest
- References
- Chapter 10. A methodology for designing knowledge-based systems and applications
- Abstract
- 10.1 Introduction
- 10.2 Related work
- 10.3 Design the knowledge-based system
- 10.4 Knowledge base and inference engine of a knowledge-based system
- 10.5 Applications
- 10.6 Conclusion and Future work
- References
- Chapter 11. IoT in healthcare ecosystem
- Abstract
- 11.1 Introduction
- 11.2 Applications of Internet of Things in healthcare
- 11.3 Implementation methodologies
- 11.4 Implementation models
- 11.5 Challenges in healthcare IoT
- 11.6 Security issues and defense mechanisms and IoT
- 11.7 Covid 19—how IoT rose to the global pandemic
- 11.8 Future of IoT in healthcare
- 11.9 Conclusion
- References
- Index
Product details
- No. of pages: 220
- Language: English
- Copyright: © Academic Press 2022
- Published: February 14, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780128239780
- eBook ISBN: 9780128241769
About the Editors
Ahmed Elngar
Dr. Ahmed A. Elngar is currently an assistant professor at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, Egypt, and College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Dr. Elngar is the director of Technological and Informatics Studies Center (TISC) and is the founder and head of Scientific Innovation Research Group (SIRG) at Beni-Suef University.
Affiliations and Expertise
Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, Egypt, and College of Computer Information Technology, American University in the Emirates, United Arab Emirates.
Rajdeep Chowdhury
Dr. Rajdeep Chowdhury an eminent academician, author, award–winning bilingual poet and editor. His areas of research interest and specialization are Artificial Intelligence, Cryptography, Data Warehouse, Data Mining and Network Security. Dr. Chowdhury has authored and presented more than 70 research papers in international/national journals and conferences (ACM, IEEE, Springer, Scopus, Taylor & Francis, CRC Press, Thomson Reuters, Bloomsbury, Tata McGraw Hill), along with being Program Committee Member in 80 International Conferences and Advisory Board Member for numerous international conferences. Dr. Chowdhury was previously an Associate Professor in the Department of Computer Applications, JIS College of Engineering, Kalyani, India.
Affiliations and Expertise
Researcher, Artificial Intelligence, Cryptography, Data Warehouse, Data Mining, Network Security
Mohamed Elhoseny
Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems.
Affiliations and Expertise
Associate Professor, University of Sharjah, UAE
Valentina Emilia Balas
Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.
Affiliations and Expertise
Full Professor, Department of Automatics and Applied Software, Faculty of Engineering, "Aurel Vlaicu" University of Arad, Arad, Romania
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