Applications of Computational Intelligence in Multi-Disciplinary Research

Applications of Computational Intelligence in Multi-Disciplinary Research

by Ahmed A. Elngar, Rajdeep Chowdhury, Mohamed Elhoseny, Valentina Emilia Balas
Released February 2022
Publisher(s): Academic Press
ISBN: 9780128241769

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Book description

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

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of contributors
  6. Chapter 1. Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern
    1. Abstract
    2. Abbreviations
    3. 1.1 Introduction
    4. 1.2 Related works
    5. 1.3 Iris localization
    6. 1.4 Iris normalization
    7. 1.5 The proposed feature extraction scheme
    8. 1.6 Matching results
    9. 1.7 Performance evaluation
    10. 1.8 Conclusion
    11. References
  7. Chapter 2. A novel crypt-intelligent cryptosystem
    1. Abstract
    2. 2.1 Introduction
    3. 2.2 Related work
    4. 2.3 Proposed methodology
    5. 2.4 Discussion
    6. 2.5 Conclusion and future work
    7. References
  8. Chapter 3. Behavioral malware detection and classification using deep learning approaches
    1. Abstract
    2. 3.1 Introduction
    3. 3.2 Deep learning strategies for malware detection
    4. 3.3 Architecture of CNNs for malware detection
    5. 3.4 Comparative analysis of CNN approaches
    6. 3.5 Challenges and future research directions
    7. 3.6 Conclusion
    8. References
  9. Chapter 4. Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things
    1. Abstract
    2. 4.1 Introduction
    3. 4.2 Optimization techniques
    4. 4.3 Understanding fog/edge computing
    5. 4.4 Optimizing fog resources
    6. 4.5 Case studies
    7. 4.6 Scope of advancements and future research
    8. 4.7 Conclusion
    9. References
  10. Chapter 5. Bluetooth security architecture cryptography based on genetic codons
    1. Abstract
    2. 5.1 Introduction
    3. 5.2 Survey of literature
    4. 5.3 Plaintext-to-ciphertext conversion process
    5. 5.4 Conclusion
    6. 5.5 Future work
    7. References
  11. Chapter 6. Estimation of the satellite bandwidth required for the transmission of information in supervisory control and data acquisition systems
    1. Abstract
    2. Abbreviations
    3. 6.1 Introduction
    4. 6.2 Supervisory control and data acquisition systems
    5. 6.3 The very small aperture terminal networks
    6. 6.4 Algorithm for estimating the satellite bandwidth
    7. 6.5 Challenges and future work
    8. 6.6 Conclusions
    9. References
  12. Chapter 7. Using artificial intelligence search in solving the camera placement problem
    1. Abstract
    2. Nomenclature
    3. 7.1 Introduction
    4. 7.2 Background
    5. 7.3 Modeling the visual sensors
    6. 7.4 Solving the camera placement problem using artificial intelligence search
    7. 7.5 Further discussion
    8. 7.6 Conclusion
    9. References
  13. Chapter 8. Nanotechnology and applications
    1. Abstract
    2. 8.1 Introduction
    3. 8.2 Nanoscience and nanotechnology
    4. 8.3 Computational nanotechnology
    5. 8.4 Applications of computational nanotechnology
    6. 8.5 Conclusion
    7. References
  14. Chapter 9. Advances of nanotechnology in plant development and crop protection
    1. Abstract
    2. 9.1 Introduction
    3. 9.2 Agriculture’s nanofarming: a modern frontier
    4. 9.3 Synthesis of green nanoparticles and its sources
    5. 9.4 Good distribution possibilities allowed by nanoparticles: a modern sustainable agriculture portal
    6. 9.5 Nanofertilizers: a good food supply for crops
    7. 9.6 Germination, field production, and efficiency enhancement of seed nanomaterials
    8. 9.7 Plant sensory systems and responses to radical climate change influences nanomaterials
    9. 9.8 Nanosensors and nanomaterials: perturbation detection and control
    10. 9.9 Pesticide-based plant safety nanomaterials
    11. 9.10 Nanotechnology in pesticides and fertilizers
    12. 9.11 Control of plant pests
    13. 9.12 Concluding remarks
    14. Consent for publication
    15. Conflict of interest
    16. References
  15. Chapter 10. A methodology for designing knowledge-based systems and applications
    1. Abstract
    2. 10.1 Introduction
    3. 10.2 Related work
    4. 10.3 Design the knowledge-based system
    5. 10.4 Knowledge base and inference engine of a knowledge-based system
    6. 10.5 Applications
    7. 10.6 Conclusion and Future work
    8. References
  16. Chapter 11. IoT in healthcare ecosystem
    1. Abstract
    2. 11.1 Introduction
    3. 11.2 Applications of Internet of Things in healthcare
    4. 11.3 Implementation methodologies
    5. 11.4 Implementation models
    6. 11.5 Challenges in healthcare IoT
    7. 11.6 Security issues and defense mechanisms and IoT
    8. 11.7 Covid 19—how IoT rose to the global pandemic
    9. 11.8 Future of IoT in healthcare
    10. 11.9 Conclusion
    11. References
  17. Index

Product information

  • Title: Applications of Computational Intelligence in Multi-Disciplinary Research
  • Author(s): Ahmed A. Elngar, Rajdeep Chowdhury, Mohamed Elhoseny, Valentina Emilia Balas
  • Release date: February 2022
  • Publisher(s): Academic Press
  • ISBN: 9780128241769