
Applications of Computational Intelligence in Multi-Disciplinary Research
- 1st Edition - February 14, 2022
- Imprint: Academic Press
- Editors: Ahmed A. Elngar, Rajdeep Chowdhury, Mohamed Elhoseny, Valentina Emilia Balas
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 9 7 8 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 4 1 7 6 - 9
Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts,… Read more

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Request a sales quoteApplications 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
- 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
- Edition: 1
- Published: February 14, 2022
- Imprint: Academic Press
- No. of pages: 220
- Language: English
- Paperback ISBN: 9780128239780
- eBook ISBN: 9780128241769
AE
Ahmed A. Elngar
RC
Rajdeep Chowdhury
ME
Mohamed Elhoseny
VE