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Table of Contents
Intro
Preface
Introduction
Contents
Contributors
1 Biomedical Imaging Segmentation and Classification Framework Based on Soft Computing Techniques
1 Introduction
2 Soft Computing Techniques
2.1 Fuzzy Computing
2.2 Artificial Neural Networks
2.3 Swarm Intelligence
2.4 Evolutionary Computing
3 Image Segmentation Techniques
3.1 Threshold-Based Methods
3.2 Cluster-Based Methods
3.3 Region-Based Methods
3.4 Partial Differential Equation (PDE)-Based Methods
3.5 Edge-Based Methods
3.6 Artificial Neural Network (ANN)-Based Methods
4 Biomedical Image Classification Framework
4.1 Image Preprocessing
4.2 Image Segmentation
4.3 Feature Extraction
4.4 Classification
5 Conclusion and Future Research Issues
References
2 Optimization Technique Used in Biomedical for Qualitative Sleep Analysis
1 Introduction
2 Qualitative Sleep Analysis Methods
2.1 Subjective Sleep Quality Assessment
2.2 Clinical Sleep Quality Assessment
2.3 Commercial Sleep Quality Assessment
3 Sleep Parameter Allocation
4 Parameter Optimization Technique
5 Result Analysis
6 Conclusion
References
3 Renewable Energy Optimization Solutions Using Meta-heuristics Methods
1 Introduction
2 Swarm Intelligence Optimization for Economic Feasibility Analysis
2.1 Objective Function
2.2 System Cost Optimization Model
2.3 Loss of Power Supply Reliability Index
2.4 Energy System Constraints
3 Particle Swarm Optimization
3.1 Maneuvering Target Using PSO
3.2 Flowchart of PSO
3.3 Operation of PSO
4 Grasshopper Optimization Algorithm
4.1 Flow Chart of GOA
4.2 Operation of GOA
5 Genetic Algorithms
5.1 GA Flowchart
5.2 GA Operation
6 HOMER Pro Software
6.1 HOMER Pro Flow Chart
7 Application of HOMER, PSO, GOA, and GA for Techno-economic Optimization: A Case Study on Proposed System Architecture
7.1 Proposed Hybrid Renewable Energy System
7.2 Load Profile
8 Results and Discussion
8.1 Technical Specifications
8.2 Optimization Results
9 Summary
References
4 Stochastic Optimization of Renewable Energy Sources in Distribution Networks
1 Introduction
2 Objective Function
3 Load Modeling
4 WT Modeling
5 PV Modeling
6 Sizing of WT Inverter and PV Inverter
7 Metaheuristic Optimization Algorithms
7.1 Slime Mold Algorithm (SMA)
7.2 Arithmetic Optimization Algorithm (AOA)
7.3 Beluga Whale Optimization (BWO) Algorithm
8 Simulation Results
8.1 Installing PV and WT Alone Using SMA in RDS
8.2 Simultaneous Allocation of PV and WT Using BWO Algorithm in RDS
8.3 Installation of Inverter-Based WT and Inverter-Based PV Using AOA in RDS
9 Conclusion
References
5 Metaheuristic Algorithms for the Classification and Prediction of Skin Lesions: A Comprehensive Review
1 Introduction
1.1 Motivation and Impact
1.2 Purpose and Goals
2 Related Work
Preface
Introduction
Contents
Contributors
1 Biomedical Imaging Segmentation and Classification Framework Based on Soft Computing Techniques
1 Introduction
2 Soft Computing Techniques
2.1 Fuzzy Computing
2.2 Artificial Neural Networks
2.3 Swarm Intelligence
2.4 Evolutionary Computing
3 Image Segmentation Techniques
3.1 Threshold-Based Methods
3.2 Cluster-Based Methods
3.3 Region-Based Methods
3.4 Partial Differential Equation (PDE)-Based Methods
3.5 Edge-Based Methods
3.6 Artificial Neural Network (ANN)-Based Methods
4 Biomedical Image Classification Framework
4.1 Image Preprocessing
4.2 Image Segmentation
4.3 Feature Extraction
4.4 Classification
5 Conclusion and Future Research Issues
References
2 Optimization Technique Used in Biomedical for Qualitative Sleep Analysis
1 Introduction
2 Qualitative Sleep Analysis Methods
2.1 Subjective Sleep Quality Assessment
2.2 Clinical Sleep Quality Assessment
2.3 Commercial Sleep Quality Assessment
3 Sleep Parameter Allocation
4 Parameter Optimization Technique
5 Result Analysis
6 Conclusion
References
3 Renewable Energy Optimization Solutions Using Meta-heuristics Methods
1 Introduction
2 Swarm Intelligence Optimization for Economic Feasibility Analysis
2.1 Objective Function
2.2 System Cost Optimization Model
2.3 Loss of Power Supply Reliability Index
2.4 Energy System Constraints
3 Particle Swarm Optimization
3.1 Maneuvering Target Using PSO
3.2 Flowchart of PSO
3.3 Operation of PSO
4 Grasshopper Optimization Algorithm
4.1 Flow Chart of GOA
4.2 Operation of GOA
5 Genetic Algorithms
5.1 GA Flowchart
5.2 GA Operation
6 HOMER Pro Software
6.1 HOMER Pro Flow Chart
7 Application of HOMER, PSO, GOA, and GA for Techno-economic Optimization: A Case Study on Proposed System Architecture
7.1 Proposed Hybrid Renewable Energy System
7.2 Load Profile
8 Results and Discussion
8.1 Technical Specifications
8.2 Optimization Results
9 Summary
References
4 Stochastic Optimization of Renewable Energy Sources in Distribution Networks
1 Introduction
2 Objective Function
3 Load Modeling
4 WT Modeling
5 PV Modeling
6 Sizing of WT Inverter and PV Inverter
7 Metaheuristic Optimization Algorithms
7.1 Slime Mold Algorithm (SMA)
7.2 Arithmetic Optimization Algorithm (AOA)
7.3 Beluga Whale Optimization (BWO) Algorithm
8 Simulation Results
8.1 Installing PV and WT Alone Using SMA in RDS
8.2 Simultaneous Allocation of PV and WT Using BWO Algorithm in RDS
8.3 Installation of Inverter-Based WT and Inverter-Based PV Using AOA in RDS
9 Conclusion
References
5 Metaheuristic Algorithms for the Classification and Prediction of Skin Lesions: A Comprehensive Review
1 Introduction
1.1 Motivation and Impact
1.2 Purpose and Goals
2 Related Work