Intro
Preface
Contents
About the Editors
Intelligent and Cloud Computing
M-Throttled: Dynamic Load Balancing Algorithm for Cloud Computing
1 Introduction
2 Literature Survey
3 Existing Algorithms
3.1 Throttled Load Balancing
3.2 Round-Robin Load Balancing
3.3 SJF Load Balancing
4 Proposed Algorithm: M-throttled
5 Implementation
6 Conclusion
References
iGateLink: A Gateway Library for Linking IoT, Edge, Fog, and Cloud Computing Environments
1 Introduction
2 Related Work
3 System Model and Architecture
3.1 Implementation Details

4 Case Studies
5 Conclusions and Future Work
References
Hetero Leach: Leach Protocol with Heterogeneous Energy Constraint
1 Introduction
2 Routing Algorithm
2.1 LEACH
2.2 Hetero Leach
3 Simulation and Result
4 Conclusion
References
A Semantic Matchmaking Technique for Cloud Service Discovery and Selection Using Ontology Based on Service-Oriented Architecture
1 Introduction
2 Service-Oriented Computing
2.1 Service-Oriented Architecture
3 Proposed Model
3.1 Client Request
3.2 Cloud Service Discovery
3.3 Cloud Service Selection

3.4 Cloud Ontology Triple Store
4 Proposed Matchmaking Technique
5 Conclusion and Future Work
References
An Intelligent Approach to Detect Cracks on a Surface in an Image
1 Introduction
2 Literature Review
3 Min-Max Gray Level Discrimination Method
4 Proposed Model for Crack Detection
5 Conclusion
References
A Study of Machine Learning Techniques in Short Term Load Forecasting Using ANN
1 Introduction
2 ANN in STLF
2.1 Multilayer Perceptron Network (MLP)
2.2 Learning
2.3 Generalization
2.4 MLP Organizes in Burden Estimating
3 Proposed Work

3.1 Back Propagation (BP) by ANN
3.2 Fuzzy Logic by ANN
3.3 Hereditary Calculation (HC) by ANN
3.4 Particle Swarm Optimization (PSO) by ANN
4 Conclusion
References
A Review for the Development of ANN Based Solar Radiation Estimation Models
1 Introduction
2 Basics of Artificial Neural Network (ANN)
3 ANN for Solar Radiation Estimation
4 Review of Global Radiation Estimation Using ANN
5 Comparative Study of All the Models
6 Identified Research Gap in Solar Radiation Estimation
7 Conclusion
References

Analysis and Study of Solar Radiation Using Artificial Neural Networks
1 Introduction
2 ANN Fundamentals
2.1 What is ANN?
2.2 Nodal Configuration
2.3 ANN Types
2.4 Learning Stuff
3 ANN Working Principle and Architecture
3.1 Introduction
4 Applications, Advantages, and Disadvantages
4.1 Applications
4.2 Advantages
4.3 Disadvantages
5 Methodology
5.1 ANN for Predicting Solar Radiation
5.2 Data Considered
5.3 Operating Stages
5.4 Performance
6 Comparison Between ANN-Based and Existing Modeling
7 Conclusion
References