Neural Networks, Machine Learning, and Image Processing
portes grátis
Neural Networks, Machine Learning, and Image Processing
Mathematical Modeling and Applications
Sahni, Manoj; M Merigo, Jose; Sahni, Ritu
Taylor & Francis Ltd
12/2024
202
Mole
9781032300160
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Chapter 1 Mathematical Modeling on Thermoregulation in Sarcopenia
1.1. Introduction
1.2. Discretization
1.3. Modeling and Simulation of Basal Metabolic Rate and Skin Layers Thickness
1.4. Mathematical Model and Boundary Conditions
1.5. Solution of the Model
1.6. Numerical Results and discussion
1.7. Conclusion
References
Chapter 2 Multi-objective University Course Scheduling for Uncertainly Generated Courses
2.1 Introduction
2.2 Literature review
2.3 Formulation of problem
2.4 Methodology
2.5 Numerical Example
2.6 Result and Discussion
2.7 Conclusion
References
Chapter 3 MChCNN : A Deep Learning Approach to Detect Text based Hate Speech
3.1. Introduction Background and Driving Forces
3.2. Related Work
3.3. Experiment and Results
3.4. Conclusion
References
Chapter 4 PSO Based PFC Cuk Converter fed BLDC Motor Drive for Automotive Applications
4.1. Introduction
4.2. Operation of Cuk converter fed BLDC motor drive system
4.3. Controller Operation
4.4. Result and Discussion
4.5. Conclusion
References
Chapter 5 Optimize Feature Selection for Condition based monitoring of Cylindrical bearing using Wavelet transform and ANN
5.1. Introduction
5.2. Methodology
5.3. Data Preparation
5.4. Result and Discussion
5.5. Conclusion
References
Chapter 6 SafeShop - An integrated system for safe pickup of items during COVID-19
6.1. Introduction
6.2. Literature Survey
6.3. Methodology
6.4. Result and Discussion
6.5. Conclusion
References
Chapter 7 Solution of First Order Fuzzy Differential Equation using Numerical Method
7.1. Introduction
7.2. Preliminaries
7.3. Methodology
7.4. Illustration
7.5. Conclusion
References
SECTION II Simulations in Machine Learning and Image Processing
Chapter 8 Multi-layer Encryption Algorithm for Data Integrity in Cloud Computing
8.1. Introduction
8.2. Related works
8.3. Algorithm description
8.4. Simulation and performance analysis
8.5. Conclusion and Future Work
References
Chapter 9 Anomaly detection using class of supervised and unsupervised learning algorithms
9. 1. Introduction
9.2. Adaptive threshold and regression techniques for anomaly detection
9.3. Unsupervised Learning techniques for anomaly detection
9.4. Description of the dataset
9.5 Results and Discussions
9.6. Conclusion
References
Chapter 10 Improving Support Vector Machine accuracy with Shogun's multiple kernel learning
10. 1. Introduction
10. 2. Support Vector Machine Statistics
10.3. Experiment and Result
10.4 Conclusion
References
Chapter 11 An Introduction to Parallelisable String-Based SP-Languages
11.1. Introduction
11.2. Parallelisable string-based SP-languages
11.3. Parallel Regular Expression
11.4. Equivalence of Parallel Regular Expression and Branching Automaton
11.5. Parallelisable String-Based SP-Grammar
11.6. Parallelisable String-Based SP-Parallel Grammar
11.7. Conclusion
11.8. Applications
11.9. Future Scope
References
Chapter 12 Detection of Disease using Machine Learning
12.1. Introduction
12.2. Techniques Applied
12.3. General architecture of AI/ML
12.4. Experimental outcomes
12.5. Conclusion
References
Chapter 13 Driver Drowsiness Detection Using Eye Tracing System
13.1. Introduction
13.2. Literature Review
13.3. Research Method
13.4. Observations and Results
13.5. Conclusion
References
Chapter 14 An Efficient Image Encryption Scheme Combining Rubik Cube Principle with Masking
14.1 Introduction
14.2 Preliminary Section
14.3 Proposed Work
14. 4 Experimental Setup and Simulation Analysis
14.5 Conclusion
References
1.1. Introduction
1.2. Discretization
1.3. Modeling and Simulation of Basal Metabolic Rate and Skin Layers Thickness
1.4. Mathematical Model and Boundary Conditions
1.5. Solution of the Model
1.6. Numerical Results and discussion
1.7. Conclusion
References
Chapter 2 Multi-objective University Course Scheduling for Uncertainly Generated Courses
2.1 Introduction
2.2 Literature review
2.3 Formulation of problem
2.4 Methodology
2.5 Numerical Example
2.6 Result and Discussion
2.7 Conclusion
References
Chapter 3 MChCNN : A Deep Learning Approach to Detect Text based Hate Speech
3.1. Introduction Background and Driving Forces
3.2. Related Work
3.3. Experiment and Results
3.4. Conclusion
References
Chapter 4 PSO Based PFC Cuk Converter fed BLDC Motor Drive for Automotive Applications
4.1. Introduction
4.2. Operation of Cuk converter fed BLDC motor drive system
4.3. Controller Operation
4.4. Result and Discussion
4.5. Conclusion
References
Chapter 5 Optimize Feature Selection for Condition based monitoring of Cylindrical bearing using Wavelet transform and ANN
5.1. Introduction
5.2. Methodology
5.3. Data Preparation
5.4. Result and Discussion
5.5. Conclusion
References
Chapter 6 SafeShop - An integrated system for safe pickup of items during COVID-19
6.1. Introduction
6.2. Literature Survey
6.3. Methodology
6.4. Result and Discussion
6.5. Conclusion
References
Chapter 7 Solution of First Order Fuzzy Differential Equation using Numerical Method
7.1. Introduction
7.2. Preliminaries
7.3. Methodology
7.4. Illustration
7.5. Conclusion
References
SECTION II Simulations in Machine Learning and Image Processing
Chapter 8 Multi-layer Encryption Algorithm for Data Integrity in Cloud Computing
8.1. Introduction
8.2. Related works
8.3. Algorithm description
8.4. Simulation and performance analysis
8.5. Conclusion and Future Work
References
Chapter 9 Anomaly detection using class of supervised and unsupervised learning algorithms
9. 1. Introduction
9.2. Adaptive threshold and regression techniques for anomaly detection
9.3. Unsupervised Learning techniques for anomaly detection
9.4. Description of the dataset
9.5 Results and Discussions
9.6. Conclusion
References
Chapter 10 Improving Support Vector Machine accuracy with Shogun's multiple kernel learning
10. 1. Introduction
10. 2. Support Vector Machine Statistics
10.3. Experiment and Result
10.4 Conclusion
References
Chapter 11 An Introduction to Parallelisable String-Based SP-Languages
11.1. Introduction
11.2. Parallelisable string-based SP-languages
11.3. Parallel Regular Expression
11.4. Equivalence of Parallel Regular Expression and Branching Automaton
11.5. Parallelisable String-Based SP-Grammar
11.6. Parallelisable String-Based SP-Parallel Grammar
11.7. Conclusion
11.8. Applications
11.9. Future Scope
References
Chapter 12 Detection of Disease using Machine Learning
12.1. Introduction
12.2. Techniques Applied
12.3. General architecture of AI/ML
12.4. Experimental outcomes
12.5. Conclusion
References
Chapter 13 Driver Drowsiness Detection Using Eye Tracing System
13.1. Introduction
13.2. Literature Review
13.3. Research Method
13.4. Observations and Results
13.5. Conclusion
References
Chapter 14 An Efficient Image Encryption Scheme Combining Rubik Cube Principle with Masking
14.1 Introduction
14.2 Preliminary Section
14.3 Proposed Work
14. 4 Experimental Setup and Simulation Analysis
14.5 Conclusion
References
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Natural Language Processing;Deep Learning;Linear Discriminant Analysis;Adaptive Filtering;Shunt Active Power Filter;Dataset D1;RBF Kernel Function;RGB Form;BLDC Motor;Max Pooling Layer;Ordinary Differential Equation;Fuzzy Programming Technique;DC Link Voltage;Adaptive Threshold Method;Nonlinear Membership Function;Intuitionistic Fuzzy Environment;BLDC;Cipher Text;Malaria Detection;Fuzzy Triangular Number;Membership Function;Modified Euler's Method;If;FDE;Ann Model Training;Total Harmonic Distortion;Cuk Converter;Encrypted Image;Euler's Method;Fuzzy Environment
Chapter 1 Mathematical Modeling on Thermoregulation in Sarcopenia
1.1. Introduction
1.2. Discretization
1.3. Modeling and Simulation of Basal Metabolic Rate and Skin Layers Thickness
1.4. Mathematical Model and Boundary Conditions
1.5. Solution of the Model
1.6. Numerical Results and discussion
1.7. Conclusion
References
Chapter 2 Multi-objective University Course Scheduling for Uncertainly Generated Courses
2.1 Introduction
2.2 Literature review
2.3 Formulation of problem
2.4 Methodology
2.5 Numerical Example
2.6 Result and Discussion
2.7 Conclusion
References
Chapter 3 MChCNN : A Deep Learning Approach to Detect Text based Hate Speech
3.1. Introduction Background and Driving Forces
3.2. Related Work
3.3. Experiment and Results
3.4. Conclusion
References
Chapter 4 PSO Based PFC Cuk Converter fed BLDC Motor Drive for Automotive Applications
4.1. Introduction
4.2. Operation of Cuk converter fed BLDC motor drive system
4.3. Controller Operation
4.4. Result and Discussion
4.5. Conclusion
References
Chapter 5 Optimize Feature Selection for Condition based monitoring of Cylindrical bearing using Wavelet transform and ANN
5.1. Introduction
5.2. Methodology
5.3. Data Preparation
5.4. Result and Discussion
5.5. Conclusion
References
Chapter 6 SafeShop - An integrated system for safe pickup of items during COVID-19
6.1. Introduction
6.2. Literature Survey
6.3. Methodology
6.4. Result and Discussion
6.5. Conclusion
References
Chapter 7 Solution of First Order Fuzzy Differential Equation using Numerical Method
7.1. Introduction
7.2. Preliminaries
7.3. Methodology
7.4. Illustration
7.5. Conclusion
References
SECTION II Simulations in Machine Learning and Image Processing
Chapter 8 Multi-layer Encryption Algorithm for Data Integrity in Cloud Computing
8.1. Introduction
8.2. Related works
8.3. Algorithm description
8.4. Simulation and performance analysis
8.5. Conclusion and Future Work
References
Chapter 9 Anomaly detection using class of supervised and unsupervised learning algorithms
9. 1. Introduction
9.2. Adaptive threshold and regression techniques for anomaly detection
9.3. Unsupervised Learning techniques for anomaly detection
9.4. Description of the dataset
9.5 Results and Discussions
9.6. Conclusion
References
Chapter 10 Improving Support Vector Machine accuracy with Shogun's multiple kernel learning
10. 1. Introduction
10. 2. Support Vector Machine Statistics
10.3. Experiment and Result
10.4 Conclusion
References
Chapter 11 An Introduction to Parallelisable String-Based SP-Languages
11.1. Introduction
11.2. Parallelisable string-based SP-languages
11.3. Parallel Regular Expression
11.4. Equivalence of Parallel Regular Expression and Branching Automaton
11.5. Parallelisable String-Based SP-Grammar
11.6. Parallelisable String-Based SP-Parallel Grammar
11.7. Conclusion
11.8. Applications
11.9. Future Scope
References
Chapter 12 Detection of Disease using Machine Learning
12.1. Introduction
12.2. Techniques Applied
12.3. General architecture of AI/ML
12.4. Experimental outcomes
12.5. Conclusion
References
Chapter 13 Driver Drowsiness Detection Using Eye Tracing System
13.1. Introduction
13.2. Literature Review
13.3. Research Method
13.4. Observations and Results
13.5. Conclusion
References
Chapter 14 An Efficient Image Encryption Scheme Combining Rubik Cube Principle with Masking
14.1 Introduction
14.2 Preliminary Section
14.3 Proposed Work
14. 4 Experimental Setup and Simulation Analysis
14.5 Conclusion
References
1.1. Introduction
1.2. Discretization
1.3. Modeling and Simulation of Basal Metabolic Rate and Skin Layers Thickness
1.4. Mathematical Model and Boundary Conditions
1.5. Solution of the Model
1.6. Numerical Results and discussion
1.7. Conclusion
References
Chapter 2 Multi-objective University Course Scheduling for Uncertainly Generated Courses
2.1 Introduction
2.2 Literature review
2.3 Formulation of problem
2.4 Methodology
2.5 Numerical Example
2.6 Result and Discussion
2.7 Conclusion
References
Chapter 3 MChCNN : A Deep Learning Approach to Detect Text based Hate Speech
3.1. Introduction Background and Driving Forces
3.2. Related Work
3.3. Experiment and Results
3.4. Conclusion
References
Chapter 4 PSO Based PFC Cuk Converter fed BLDC Motor Drive for Automotive Applications
4.1. Introduction
4.2. Operation of Cuk converter fed BLDC motor drive system
4.3. Controller Operation
4.4. Result and Discussion
4.5. Conclusion
References
Chapter 5 Optimize Feature Selection for Condition based monitoring of Cylindrical bearing using Wavelet transform and ANN
5.1. Introduction
5.2. Methodology
5.3. Data Preparation
5.4. Result and Discussion
5.5. Conclusion
References
Chapter 6 SafeShop - An integrated system for safe pickup of items during COVID-19
6.1. Introduction
6.2. Literature Survey
6.3. Methodology
6.4. Result and Discussion
6.5. Conclusion
References
Chapter 7 Solution of First Order Fuzzy Differential Equation using Numerical Method
7.1. Introduction
7.2. Preliminaries
7.3. Methodology
7.4. Illustration
7.5. Conclusion
References
SECTION II Simulations in Machine Learning and Image Processing
Chapter 8 Multi-layer Encryption Algorithm for Data Integrity in Cloud Computing
8.1. Introduction
8.2. Related works
8.3. Algorithm description
8.4. Simulation and performance analysis
8.5. Conclusion and Future Work
References
Chapter 9 Anomaly detection using class of supervised and unsupervised learning algorithms
9. 1. Introduction
9.2. Adaptive threshold and regression techniques for anomaly detection
9.3. Unsupervised Learning techniques for anomaly detection
9.4. Description of the dataset
9.5 Results and Discussions
9.6. Conclusion
References
Chapter 10 Improving Support Vector Machine accuracy with Shogun's multiple kernel learning
10. 1. Introduction
10. 2. Support Vector Machine Statistics
10.3. Experiment and Result
10.4 Conclusion
References
Chapter 11 An Introduction to Parallelisable String-Based SP-Languages
11.1. Introduction
11.2. Parallelisable string-based SP-languages
11.3. Parallel Regular Expression
11.4. Equivalence of Parallel Regular Expression and Branching Automaton
11.5. Parallelisable String-Based SP-Grammar
11.6. Parallelisable String-Based SP-Parallel Grammar
11.7. Conclusion
11.8. Applications
11.9. Future Scope
References
Chapter 12 Detection of Disease using Machine Learning
12.1. Introduction
12.2. Techniques Applied
12.3. General architecture of AI/ML
12.4. Experimental outcomes
12.5. Conclusion
References
Chapter 13 Driver Drowsiness Detection Using Eye Tracing System
13.1. Introduction
13.2. Literature Review
13.3. Research Method
13.4. Observations and Results
13.5. Conclusion
References
Chapter 14 An Efficient Image Encryption Scheme Combining Rubik Cube Principle with Masking
14.1 Introduction
14.2 Preliminary Section
14.3 Proposed Work
14. 4 Experimental Setup and Simulation Analysis
14.5 Conclusion
References
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Natural Language Processing;Deep Learning;Linear Discriminant Analysis;Adaptive Filtering;Shunt Active Power Filter;Dataset D1;RBF Kernel Function;RGB Form;BLDC Motor;Max Pooling Layer;Ordinary Differential Equation;Fuzzy Programming Technique;DC Link Voltage;Adaptive Threshold Method;Nonlinear Membership Function;Intuitionistic Fuzzy Environment;BLDC;Cipher Text;Malaria Detection;Fuzzy Triangular Number;Membership Function;Modified Euler's Method;If;FDE;Ann Model Training;Total Harmonic Distortion;Cuk Converter;Encrypted Image;Euler's Method;Fuzzy Environment
