The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few.
Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing.
1. Recent Trends in Computational Intelligence Enabled Research - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. Dedication - p. v 7. List of Contributors - p. xiii 8. Preface - p. xv 9. Chapter 1 Optimization in the sensor cloud: Taxonomy, challenges, and survey - p. 1 10. Chapter 2 Computational intelligence techniques for localization and clustering in wireless sensor networks - p. 23 11. Chapter 3 Computational intelligent techniques for resource management schemes in wireless sensor networks - p. 41 12. Chapter 4 Swarm intelligence based MSMOPSO for optimization of resource provisioning in Internet of Things - p. 61 13. Chapter 5 DNA-based authentication to access internet of things-based healthcare data - p. 83 14. Chapter 6 Computational intelligence techniques for cancer diagnosis - p. 95 15. Chapter 7 Security and privacy in the internet of things: computational intelligent techniques-based approaches - p. 111 16. Chapter 8 Automatic enhancement of coronary arteries using convolutional gray-level templates and path-based metaheuristics - p. 129 17. Chapter 9 Smart city development: Theft handling of public vehicles using image analysis and cloud network - p. 155 18. Chapter 10 Novel detection of cancerous cells through an image segmentation approach using principal component analysis - p. 171 19. Chapter 11 Classification of the operating spectrum for the RAMAN amplifier embedded optical communication system using soft computing techniques - p. 197 20. Chapter 12 Random walk elephant swarm water search algorithm for identifying order-preserving submatrices in gene expression data: a new approach using elephant swarm water search algorithm - p. 211 21. Chapter 13 Geopositioning of fog nodes based on user device location and framework for game theoretic applications in an fog to cloud network - p. 233 22. Chapter 14 A wavelet-based low frequency prior for single-image dehazing - p. 245 23. Chapter 15 Segmentation of retinal blood vessel structure based on statistical distribution of the area of isolated objects - p. 263 24. Chapter 16 Energy efficient rendezvous point-based routing in wireless sensor network with mobile sink - p. 279 25. Chapter 17 An integration of handcrafted features for violent event detection in videos - p. 295 26. Chapter 18 Deep learning-based diabetic retinopathy detection for multiclass imbalanced data - p. 307 27. Chapter 19 Internet of Things e-health revolution: secured transmission of homeopathic e-medicines through chaotic key formation - p. 317 28. Chapter 20 Smart farming and water saving-based intelligent irrigation system implementation using the Internet of Things - p. 339 29. Chapter 21 Intelligent and smart enabling technologies in advanced applications: recent trends - p. 355 30. Chapter 22 Leveraging technology for healthcare and retaining access to personal health data to enhance personal health and well-being - p. 367 31. Chapter 23 Enhancement of foveolar architectural changes in gastric endoscopic biopsies - p. 377 32. Index - p. 389 33. Index - Continued - p. 396
The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few.
Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing.
1. Recent Trends in Computational Intelligence Enabled Research - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright - p. iv 5. Table of Contents - p. iv 6. Dedication - p. v 7. List of Contributors - p. xiii 8. Preface - p. xv 9. Chapter 1 Optimization in the sensor cloud: Taxonomy, challenges, and survey - p. 1 10. Chapter 2 Computational intelligence techniques for localization and clustering in wireless sensor networks - p. 23 11. Chapter 3 Computational intelligent techniques for resource management schemes in wireless sensor networks - p. 41 12. Chapter 4 Swarm intelligence based MSMOPSO for optimization of resource provisioning in Internet of Things - p. 61 13. Chapter 5 DNA-based authentication to access internet of things-based healthcare data - p. 83 14. Chapter 6 Computational intelligence techniques for cancer diagnosis - p. 95 15. Chapter 7 Security and privacy in the internet of things: computational intelligent techniques-based approaches - p. 111 16. Chapter 8 Automatic enhancement of coronary arteries using convolutional gray-level templates and path-based metaheuristics - p. 129 17. Chapter 9 Smart city development: Theft handling of public vehicles using image analysis and cloud network - p. 155 18. Chapter 10 Novel detection of cancerous cells through an image segmentation approach using principal component analysis - p. 171 19. Chapter 11 Classification of the operating spectrum for the RAMAN amplifier embedded optical communication system using soft computing techniques - p. 197 20. Chapter 12 Random walk elephant swarm water search algorithm for identifying order-preserving submatrices in gene expression data: a new approach using elephant swarm water search algorithm - p. 211 21. Chapter 13 Geopositioning of fog nodes based on user device location and framework for game theoretic applications in an fog to cloud network - p. 233 22. Chapter 14 A wavelet-based low frequency prior for single-image dehazing - p. 245 23. Chapter 15 Segmentation of retinal blood vessel structure based on statistical distribution of the area of isolated objects - p. 263 24. Chapter 16 Energy efficient rendezvous point-based routing in wireless sensor network with mobile sink - p. 279 25. Chapter 17 An integration of handcrafted features for violent event detection in videos - p. 295 26. Chapter 18 Deep learning-based diabetic retinopathy detection for multiclass imbalanced data - p. 307 27. Chapter 19 Internet of Things e-health revolution: secured transmission of homeopathic e-medicines through chaotic key formation - p. 317 28. Chapter 20 Smart farming and water saving-based intelligent irrigation system implementation using the Internet of Things - p. 339 29. Chapter 21 Intelligent and smart enabling technologies in advanced applications: recent trends - p. 355 30. Chapter 22 Leveraging technology for healthcare and retaining access to personal health data to enhance personal health and well-being - p. 367 31. Chapter 23 Enhancement of foveolar architectural changes in gastric endoscopic biopsies - p. 377 32. Index - p. 389 33. Index - Continued - p. 396
