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Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications - Research Book

Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications - Research Book

Great Research Book for Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications

Author(s) Name:  Siddhartha Bhattacharyya, Paramartha Dutta, Debabrata Samanta, Anirban Mukherjee, Indrajit Pan

About the Book:

   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.

Key Features

  • Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques
  • Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence
  • Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

  • Table of Contents

  • Optimization in the sensor cloud: Taxonomy, challenges, and survey
  • Computational intelligence techniques for localization and clustering in wireless sensor
  • Computational intelligent techniques for resource management schemes in wireless sensor networks
  • Swarm intelligence based MSMOPSO for optimization of resource provisioning in Internet of Things
  • DNA-based authentication to access internet of things-based healthcare data
  • Computational intelligence techniques for cancer diagnosis
  • Security and privacy in the internet of things: computational intelligent techniques-based approaches
  • Automatic enhancement of coronary arteries using convolutional gray-level templates and path-based metaheuristics
  • Smart city development: Theft handling of public vehicles using image analysis and cloud network
  • Novel detection of cancerous cells through an image segmentation approach using principal component analysis
  • Classification of the operating spectrum for the RAMAN amplifier embedded optical communication system using soft computing techniques
  • 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
  • Geopositioning of fog nodes based on user device location and framework for game theoretic applications in an fog to cloud network
  • A wavelet-based low frequency prior for single-image dehazing
  • Segmentation of retinal blood vessel structure based on statistical distribution of the area of isolated objects
  • Energy-efficient rendezvous point-based routing in wireless sensor network with mobile sink
  • An integration of handcrafted features for violent event detection in videos
  • Deep learning-based diabetic retinopathy detection for multiclass imbalanced data
  • Internet of Things e-health revolution: secured transmission of homeopathic e-medicines through chaotic key formation
  • Smart farming and water saving-based intelligent irrigation system implementation using the Internet of Things
  • Intelligent and smart enabling technologies in advanced applications: recent trends
  • Leveraging technology for healthcare and retaining access to personal health data to enhance personal health and well-being
  • Enhancement of foveolar architectural changes in gastric endoscopic biopsies
  • ISBN:  9780128228449

    Publisher:  Elsevier

    Year of Publication:  2021

    Book Link:  Home Page Url