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Table of Contents
Intro
Preface
Contents
About the Editors
1 Equity Market Price Prediction Using Fuzzy-Genetic Machine Learning Algorithms
1.1 Introduction
1.2 History of Stock Trading BSE Sensex
1.3 Algo-trading
1.4 Literature Review
1.5 Research Methodology
1.6 Implementation
1.7 FDC Results
1.8 Comparative Analysis of FDC Data with Simple Moving Average Method
1.9 Challenges in the Implementation of the System
1.10 Conclusion
References
2 A Convolution Neural Network Model to Classify Handwritten Digits from Skeletons
2.1 Introduction
2.2 Related Work
2.3 Methodology
2.4 Results and Discussion
2.5 Conclusion
References
3 A Wavelet Thresholding-Based Approach for Denoising the Color Image Affected by Gaussian Noise
3.1 Introduction
3.2 Literature Survey
3.2.1 VisuShrink
3.2.2 SureShrink
3.2.3 BayesShrink
3.2.4 NeighShrink
3.3 Methodology
3.3.1 Proposed Method
3.4 Results and Discussion
References
4 Detection and Classification of Diabetic Retinopathy Using Image Processing and Machine Learning Techniques
4.1 Introduction
4.2 Literature Review
4.3 Proposed Work with Implementation Details
4.3.1 Pre-processing
4.3.2 Feature Extraction
4.3.3 Detection
4.3.4 Classification
4.4 Experimental Setup and Performance Evaluation Parameters
4.4.1 Dataset
4.4.2 Parameters and Evaluation Metrics
4.5 Results and Discussion
4.6 Conclusion
References
5 Analysis of EEG Signal of the Elderly for Hand Grip Muscle Activity
5.1 Introduction
5.2 Literature Survey
5.3 Methodology
5.3.1 Data Acquisition
5.3.2 Dataset Description
5.3.3 Feature Extraction
5.3.4 Age-Wise Classification of EEG Data of Young and Old Subjects
5.4 Result
5.5 Conclusion
7.1.4 Proposed Solution
7.1.5 Paper Structure
7.2 Methodology
7.2.1 Data Collection Technique Used and List of Steps
7.2.2 License Plate Detection and Recognition
7.3 Discussion
7.3.1 License Plate Detection and Recognition Model
7.3.2 How It Works
7.3.3 Model Evaluation
7.3.4 Integration
7.4 Conclusion
References
8 Classification of Esophageal Cancer Using Ensembled CNN with Generalized Normal Distribution Optimization Model and Support Vector Machine Classifier
8.1 Introduction
8.1.1 Related Works
8.1.2 Contribution of the Proposed Work
Preface
Contents
About the Editors
1 Equity Market Price Prediction Using Fuzzy-Genetic Machine Learning Algorithms
1.1 Introduction
1.2 History of Stock Trading BSE Sensex
1.3 Algo-trading
1.4 Literature Review
1.5 Research Methodology
1.6 Implementation
1.7 FDC Results
1.8 Comparative Analysis of FDC Data with Simple Moving Average Method
1.9 Challenges in the Implementation of the System
1.10 Conclusion
References
2 A Convolution Neural Network Model to Classify Handwritten Digits from Skeletons
2.1 Introduction
2.2 Related Work
2.3 Methodology
2.4 Results and Discussion
2.5 Conclusion
References
3 A Wavelet Thresholding-Based Approach for Denoising the Color Image Affected by Gaussian Noise
3.1 Introduction
3.2 Literature Survey
3.2.1 VisuShrink
3.2.2 SureShrink
3.2.3 BayesShrink
3.2.4 NeighShrink
3.3 Methodology
3.3.1 Proposed Method
3.4 Results and Discussion
References
4 Detection and Classification of Diabetic Retinopathy Using Image Processing and Machine Learning Techniques
4.1 Introduction
4.2 Literature Review
4.3 Proposed Work with Implementation Details
4.3.1 Pre-processing
4.3.2 Feature Extraction
4.3.3 Detection
4.3.4 Classification
4.4 Experimental Setup and Performance Evaluation Parameters
4.4.1 Dataset
4.4.2 Parameters and Evaluation Metrics
4.5 Results and Discussion
4.6 Conclusion
References
5 Analysis of EEG Signal of the Elderly for Hand Grip Muscle Activity
5.1 Introduction
5.2 Literature Survey
5.3 Methodology
5.3.1 Data Acquisition
5.3.2 Dataset Description
5.3.3 Feature Extraction
5.3.4 Age-Wise Classification of EEG Data of Young and Old Subjects
5.4 Result
5.5 Conclusion
7.1.4 Proposed Solution
7.1.5 Paper Structure
7.2 Methodology
7.2.1 Data Collection Technique Used and List of Steps
7.2.2 License Plate Detection and Recognition
7.3 Discussion
7.3.1 License Plate Detection and Recognition Model
7.3.2 How It Works
7.3.3 Model Evaluation
7.3.4 Integration
7.4 Conclusion
References
8 Classification of Esophageal Cancer Using Ensembled CNN with Generalized Normal Distribution Optimization Model and Support Vector Machine Classifier
8.1 Introduction
8.1.1 Related Works
8.1.2 Contribution of the Proposed Work