Artificial Intelligence Techniques in IoT Sensor Networks

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in Artificial Intelligence (AI), Sensor Networks and Internet of Things (IoT). This book intends to develop a shared understanding of ap...

Full description

Saved in:
Bibliographic Details
Main Authors Mohamed Elhoseny, K Shankar, Mohamed Abdel-Basset
Format eBook
LanguageEnglish
Published Milton CRC Press 2021
CRC Press LLC
Edition1
SeriesChapman & Hall/CRC Distributed Sensing and Intelligent Systems Series
Subjects
AI techniques
Artificial Intelligence
Computer Engineering
Computer Science (General)
COMPUTERSCIENCEnetBASE
ElectricalEngineeringnetBASE
ENGnetBASE
INFORMATIONSCIENCEnetBASE
Instrumentation, Measurement & Testing
Internet of things
Machine Learning
Networks
SCI-TECHnetBASE
Sensor Networks
STMnetBASE
Systems & Computer Engineering
SVM Approach
SVM Model
GWO Algorithm
MLP Model
Network Lifetime
CH Selection
Sensor Node
Local Search Phase
KH
GWO
IoT Device
MN
SSIM
Modified Particle Swarm Optimization
IoT System
Intercluster Communication
Wireless Sensor Networks
Energy Efficiency
Unequal Clustering
CHs
CT Brain Image
Minimum Logistic Cost
Proposed Clustering Algorithm
Maximized Network Lifetime
IoT Network
Online AccessGet full text
ISBN9780367681456
9780367439255
0367681455
0367439255
DOI10.1201/9781003007265

Cover

Table of Contents:
  • Chapter 13: IoT-Based Automated Skin Lesion Detection and Classification Using Gray Wolf Optimization with Deep Neural Network -- Index
  • Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- About the Editors -- Chapter 1: Adaptive Regularized Gaussian Kernel FCM for the Segmentation of Medical Images: An Artificial Intelligence-Based IoT Implementation for Teleradiology Network -- Chapter 2: Artificial Intelligence-Based Fuzzy Logic with Modified Particle Swarm Optimization Algorithm for Internet of Things-Enabled Logistic Transportation Planning -- Chapter 3: Butterfly Optimization-Based Feature Selection with Gradient Boosting Tree for Big Data Analytics in Social Internet of Things -- Chapter 4: An Energy-Efficient Fuzzy Logic-Based Clustering with Data Aggregation Protocol for WSN-Assisted IoT System -- Chapter 5: Analysis of Smart Home Recommendation System from Natural Language Processing Services with Clustering Technique -- Chapter 6: Metaheuristic-Based Kernel Extreme Learning Machine Model for Disease Diagnosis in Industrial Internet of Things Sensor Networks -- Chapter 7: Fuzzy Support Vector Machine with SMOTE for Handling Class Imbalanced Data in IoT-Based Cloud Environment -- Chapter 8: Energy-Efficient Unequal Clustering Algorithm Using Hybridization of Social Spider with Krill Herd in IoT-Assisted Wireless Sensor Networks -- Chapter 9: IoT Sensor Networks with 5G-Enabled Faster RCNN-Based Generative Adversarial Network Model for Face Sketch Synthesis -- Chapter 10: Artificial Intelligence-Based Textual Cyberbullying Detection for Twitter Data Analysis in Cloud-Based Internet of Things -- Chapter 11: An Energy-Efficient Quasi-Oppositional Krill Herd Algorithm-Based Clustering Protocol for Internet of Things Sensor Networks -- Chapter 12: An Effective Social Internet of Things (SIoT) Model for Malicious Node Detection in Wireless Sensor Networks