Preface
Organization
Contents
Artificial Intelligence in Health Care
Early Stage Prediction Model of Autism Spectrum Disorder Traits of Toddlers
1 Introduction
2 Related Work
3 Methodology
3.1 Data Preprocessing
3.2 Feature Selection
3.3 Classification
3.4 Performance Metrics
4 Experimental Result
5 Discussion
6 Conclusion
References
Detection and Estimation of Diameter of Retinal Vessels
1 Introduction
2 Methodology
2.1 Estimation of Diameter of Retinal Vessel Based on Morphological Operation
2.2 Diameter Calculation Based on Center Line
2.3 Measurement of Retinal Vessel Thickness Based on Minimum Line Integrals
3 Result and Discussion
4 Conclusion and Future Direction
References
Automated Summarization of Gastrointestinal Endoscopy Video
1 Introduction
2 Methodology
2.1 CNN Model
2.2 Description of the Dataset
2.3 Model Training Details
3 Experimental Results
4 Conclusion
References
Interpretation of Feature Contribution Towards Diagnosis of Diabetic Retinopathy from Exudates in Retinal Images
1 Introduction
2 Related Work
3 Proposed Methodology (SHAP-DFHE-MR Model)
3.1 Preprocessing
3.2 Optic Disc Segmentation
3.3 Exudates Detection
3.4 Feature Extraction and Classification
3.5 SHAP Tree Explainer Interpretation
4 Datasets
5 Results and Discussion
5.1 Performance Evaluation of Segmentation of Exudates
5.2 Performance Evaluation of Classification
5.3 Analysis of Explainability
6 Conclusion
References
False Positive Reduction in Mammographic Mass Detection
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Dataset Description
3.2 Data Pre-processing
3.3 False Positive Reduction in Density-Specific Mass Detection Model
4 Results and Discussion
4.1 Pre-processing and Segmentation
4.2 False Positive Reduction in Density-Specific Mass Detection Model
5 Conclusion
References
An Efficient and Automatic Framework for Segmentation and Analysis of Tumor Structure in Brain MRI Images
1 Introduction
2 An Efficient and Robust Framework
2.1 SVM Classifier for Classification of MRI Dataset
2.2 Watershed Method Technique for Tumor Region Extraction
2.3 Analysis and Diagnosis of Tumor Structure with EM-GM Method
3 Results and Discussion
4 Conclusion
References
Machine Learning and Deep Learning
Collaborative CNN with Multiple Tuning for Automated Coral Reef Classification
1 Introduction
2 Related Works
3 CNN Architectures
3.1 M1 Model
3.2 M2 Model
4 Ensemble Method of Averaging
5 Experiment and Analysis
5.1 Dataset Used
5.2 Performance Analysis
5.3 Modified CNN Architectures
6 Conclusion
References
Analysis of Optimum 3-Dimensional Array and Fast Data Movement for Efficient Memory Computation in Convolutional Neural Network Models
1 Introduction
2 Analysis of 3-dimensional Feature Array Size and Data-Flow Movement Scheduling Strategy
2.1 Choosing the Optimum 3D Feature Array (Fa)
2.2 Data-Flow Scheduling Using 8 × 8 × 32 3D Feature Array
3 Simulation Results and Discussion
3.1 Evaluation of 3-D Feature Array (Fa) for the CNN Model
3.2 Analysis and Evaluation of Strategies for the CNN Layer
4 Conclusion
References
Generation Z’s Satisfaction with Artificial Intelligence Voice Enabled Digital Assistants
1 Introduction
2 Literature Review
3 Research Methodology
4 Data Analysis and Discussion
5 Conclusion
Appendix 1. Constructs Measurement Items
References
Deep Learning Models for Automatic De-identification of Clinical Text
1 Introduction
2 Clinical De-identification Process
2.1 Pre-processing
2.2 Word Embeddings
2.3 Label Prediction Layer
2.4 Label Sequence Optimization
3 Datasets
4 Limitations
5 Discussion
6 Conclusion
References
Forecast of Movie Sentiment Based on Multi Label Text Classification on Rotten Tomatoes Using Multiple Machine and Deep Learning Technique
1 Introduction
2 Methodologies
2.1 Dataset Used
2.2 Data Investigation
2.3 Data Pre-processing
2.4 n-grams and Tf-idf Vectorizer
2.5 Machine Learning (ML)
2.6 Deep Learning (DL)
3 Experiments and Results
4 Conclusions
References
An Ensemble Approach to Hostility Detection in Hindi Tweets
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Dataset
3.2 Preprocessing
3.3 Model
4 Results
5 Conclusion
References
An Optimized Framework for Diabetes Mellitus Diagnosis Using Grid Search Based Support Vector Machine
1 Introduction
2 Literature Works
3 Methodology
3.1 Data Preprocessing
3.2 Feature Selection
3.3 Bio-Inspired Computing for Feature Selection
3.4 Binarized Whale Optimization Algorithm
3.5 Binarized Grey Wolf Optimization
3.6 Classifier
4 Results and Discussions
4.1 Performance Metrics
4.2 Dataset Description
4.3 Features Selection
5 Conclusion
References
Signal Processing
Inquisition of Vision Transformer for Content Based Satellite Image Retrieval
1 Introduction
2 Related Work
3 Deep and Vision Transformer Based Feature Extraction
3.1 Feature Extraction
3.2 Matching and Retrieval
3.3 Dataset Details
3.4 Evaluation Metric
3.5 Implementation Details
4 Experiments Results
4.1 Results
4.2 Precision Recall Plots
4.3 Time
5 Conclusion
References
Impact of Spectral Domain Features for Small Object Detection in Remote Sensing
1 Introduction
2 Related Works
2.1 Object Detection
2.2 Multi-scale Object Detection
2.3 Small Object Detection
2.4 Spectral Context-Fourier Transform and Wavelet Transform
3 Methodology
3.1 Detailed Overview of Our Approach
4 Experiments
4.1 Dataset
4.2 Implementation Details
5 Results
6 Conclusion
References
Application of Phonocardiogram and Electrocardiogram Signal Features in Cardiovascular Abnormality Recognition
1 Introduction
2 Related Work
2.1 Heart Signal Classification and usage of the PhysioNet/CinC Dataset
2.2 Contributions
3 Signals in Medical Domain Data
3.1 PCG Signals
3.2 ECG Signals
4 Proposed Methodology
4.1 PCG Signals
4.2 ECG Signals
4.3 Hybrid Feature Approach
5 Performance of the Models
6 Result and Conclusion
7 Future Scope
References
Analyzing Cricket Biomechanical Parameters Through Keypoint Detection and Tracking
1 Introduction
2 Literature Review
3 Some Biomechanical Parameters
3.1 Backlift Angle
3.2 Downswing Angle
4 The Dataset
4.1 The Model
4.2 Architecture Details
5 Conclusion
References
Multi-feature Based Sea–land Segmentation for Multi-spectral and Panchromatic Remote-Sensing Imagery
1 Introduction
2 Related Work
3 Theory
3.1 CMYK Color Space
3.2 HSV Color Space
3.3 Gabor Feature
3.4 Otsu Segmentation
3.5 Gray Connectedness
3.6 Morphological Operations
4 Proposed Method
5 Experimental Results
6 Conclusion
References
Internet of Things for Smart Systems
Deoxyribonucleic Acid Cryptography Based Least Significant Byte Steganography
1 Introduction
2 Motivation
3 Literature Survey
4 Proposed Method
4.1 DNA Cryptography
4.2 Encryption
4.3 Algorithm Selection
4.4 LSB Steganography
4.5 DNA Decoding
5 Results and Analysis
5.1 Dataset
5.2 Performance Metrics
5.3 Analysis and Result
5.4 Comparative Analysis
6 Conclusion
References
A Simple Hybrid Local Search Algorithm for Solving Optimization Problems
1 Introduction
2 Optimization Problem Statement
3 New Hybrid Local Search Algorithm (FP-AB)
4 Benchmark Functions
5 Computational Results and Analysis with Other Algorithms
6 Statistical Analyses
7 Conclusions, Limitation and Future Work
References
Performance Study of RIS Assisted NOMA Based Wireless Network with Passive IoT Communication
1 Introduction
2 System Model
2.1 Outage Probability
2.2 Ergodic Rate
3 Results and Discussion
4 Conclusion
References
Multi-channel Man-in-the-Middle Attacks Against Protected Wi-Fi Networks and Their Attack Signatures
1 Introduction
2 Background
2.1 MC-MitM Attack Setup
2.2 MC-MitM Base Variant Attack
2.3 MC-MitM Improved Variant Attack
3 MC-MitM Attack Traffic Analysis
4 MC-MitM Attack Signature Creation
4.1 Assumptions
4.2 Reference Scenario
4.3 Stage 1 Attack Traffic Signatures
4.4 Stage 2 Attack Traffic Signatures
4.5 Summary of Attack Traffic Signatures
4.6 Discussion
5 Conclusions and Future Works
References
A Study in Analysing the Critical Determinants of Internet of Things (IoT) Based Smart Processing for Sustainable Supply Chain Management
1 Introduction
2 Review of Literature
3 Research Methodology
3.1 Research Hypothesis
4 Analysis and Discussion
4.1 Percentage Analysis
4.2 Correlation Analysis
4.3 Chi Square Test
5 Conclusion
References
IOT Enabled Rover for Remote Survey of Archeological Areas
1 Introduction
2 Literature Review
3 Methodology
3.1 Mechanical Parts
3.2 Algorithm
3.3 Powertrain Design
3.4 IOT Enabling
3.5 Prototype
4 Results and Discussions
5 Limitations and Future Scope
6 Conclusion
References
An Embedded System for Smart Farming Using Machine Learning Approaches
1 Introduction
2 Related Works
3 Methodology
3.1 Block Diagram
4 Machine Learning Algorithms
4.1 Support Vector Machine (SVM)
5 Experimentation
6 Results and Analysis
7 Conclusion
References
An Intrusion Detection System for Securing IoT Based Sensor Networks from Routing Attacks
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Proposed System Architecture
3.2 Intrusion Detection System
4 Results and Discussion
5 Conclusion
References
Author Index