Proceedings on International Conference on Data Analytics and Computing: ICDAC 2022 (Lecture Notes on Data Engineering and Communications Technologies, 175)

Preface
Contents
About the Editors
Denoising Techniques for ECG Arrhythmia Classification Systems: An Experimental Approach
	1 Introduction
	2 Denoising Techniques
		2.1 Cascaded Median Filter
		2.2 Wavelet-Based Denoising
	3 Experimental Methodology
	4 Performance Measures
	5 Results of Experimental Analysis
	6 Conclusion
	References
CNN Architecture-Based Image Retrieval of Colonoscopy Polyp Frames
	1 Introduction
	2 Related Works
	3 Materials and Method
		3.1 Dataset Description
		3.2 Data Preparation and Augmentation
		3.3 Developed Colonoscopy Polyp Image Retrieval Pipeline
	4 Results and Discussion
		4.1 Feature Mapping
		4.2 Comparison with the Existing SOTA Pipelines
	5 Conclusion
	References
A KP-ABE-Based ECC Approach for Internet of Medical Things
	1 Introduction
		1.1 Related Works
	2 Mathematical Preliminaries
		2.1 Elliptic Curve Discrete Logarithm Problem (ECDLP)
		2.2 Elliptic Curve Cryptograpy
		2.3 Access Structure
		2.4 Linear Secret Sharing (LSS) Scheme
	3 Proposed Scheme
		3.1 Overview of the Proposed Scheme
		3.2 System Model
		3.3 Construction of Proposed Scheme
	4 Results and Discussion
	5 Conclusion
	References
A Discrete Firefly-Based Task Scheduling Algorithm for Cloud Infrastructure
	1 Introduction
	2 Background
	3 Proposed Work
		3.1 Problem Formulation
		3.2 Introduction to Firefly Algorithm
		3.3 Discrete Firefly Approach for Task Scheduling
	4 Simulation
	5 Conclusion
	References
An Efficient Human Face Detection Technique Based on CNN with SVM Classifier
	1 Introduction
		1.1 Face Recognition and Detection Process
		1.2 Motivation and Contribution
	2 Related Work
	3 Face Detection Techniques
		3.1 LBPH
		3.2 Eigenfaces
		3.3 Fisherface
	4 Proposed CNN-Based Approach
	5 Experiment Results and Analyses
		5.1 Environmental Setup
		5.2 Results and Discussion
		5.3 Training Time
		5.4 Time for Prediction
	6 Conclusion and Future Scope
	References
Results on Periodicity of Memristive Inertial Neural Networks with Mixed Delays
	1 Introduction
	2 Preliminaries
	3 Main Result
	4 Illustrative Example
	5 Conclusion
	References
A Comparative Analysis of Gradient-Based Optimization Methods for Machine Learning Problems
	1 Introduction
	2 Optimization Methods with Adaptive Gradient and Learning Rate
		2.1 Stochastic Gradient Descent with Momentum (SGDm)
		2.2 AdaGrad
		2.3 AdaDelta
		2.4 RMSProp
		2.5 Adam
		2.6 AdaMax
		2.7 Nadam
	3 Experiments
		3.1 Data Sets
		3.2 Experimental Settings
		3.3 Problem 1
		3.4 Problem 2
		3.5 Problem 3
	4 Conclusion
	References
Vegetation Cover Estimation Using Sentinel-2 Multispectral Data
	1 Introduction
	2 Methodology
	3 Dataset and Location of Study
		3.1 Data Selection
		3.2 Preprocessing
		3.3 Classification
		3.4 Accuracy Assessment
		3.5 Change Detection
		3.6 Percentage Vegetation Cover
		3.7 Area Calculation
	4 Results and Discussion
		4.1 Classification and Validation
		4.2 Change Detection
		4.3 Area Estimation and Crop Contribution
	5 Conclusion
	References
Wheat Crop Acreage Estimation Using Vegetation Change Detection with Multi-layer Neural Network
	1 Introduction
	2 Materials and Methods
		2.1 Study Area and Data Set
		2.2 Data Processing and Data Collection
	3 Methodology
		3.1 Multi-layer Neural Network
	4 Results
		4.1 Vegetation Change Map
		4.2 Vegetation Area Estimation Using Difference Map
		4.3 Wheat Crop Mapping and Classification
	5 Discussion
	6 Conclusion
	References
Modified Hybrid GWO-SCA Algorithm for Solving Optimization Problems
	1 Introduction
	2 GWO
	3 SCA
	4 Modified Hybrid GWO-SCA
	5 Results and Discussion and Experimental Setup
	6 Conclusion
	References
Multi-disease Classification Including Localization Through Chest X-Ray Images
	1 Introduction
	2 Related Work
	3 Material and Methods
		3.1 Dataset
		3.2 Convolutional Neural Network
		3.3 Localization
		3.4 Evaluation Standard
	4 Experimental Setup
	5 Experimental Results and Discussion
		5.1 Accuracy in Training and Validation
		5.2 Training and Validation Loss
		5.3 Confusion Matrix
		5.4 F1-Score, Recall, and Precision
	6 Conclusion
	References
Performance Analysis of Energy-Efficient Cluster-Based Routing Protocols with an Improved Bio-inspired Algorithm in WSNs
	1 Introduction
	2 Related Work—Existing Algorithms and Protocols
	3 Conventional Butterfly Optimization Algorithm
	4 The Proposed Algorithm: Improved Version of BOA
	5 Simulation Results and Comparative Analysis
	6 Conclusion and Future Directions
	References
Comparative Analysis of YOLO Algorithms for Intelligent Traffic Monitoring
	1 Introduction
	2 Comparative Analysis of YOLO Algorithm
	3 Proposed Methodology
		3.1 Vehicle Detection Using YOLO
		3.2 Vehicle Tracking Algorithms
		3.3 Data Collection Plan
	4 Results and Discussion
		4.1  Training and Testing of Different YOLO Versions
		4.2 Statistical Test
		4.3 Vehicle Tracking Using YOLO V4 Deep SORT
	5 Conclusion and Future Scope
	References
Performance Analysis of Mayfly Algorithm for Problem Solving in Optimization
	1 Introduction
	2 Literature Survey
	3 Inspiration and Methodology
		3.1 Modified MO
		3.2 Convergence Graph
		3.3 Comparative Analysis
	4 Applications of MA
	5 Conclusion and Future Scope
	References
An Empirical Comparison of Community Detection Techniques for Amazon Dataset
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Louvain Method
		3.2 Girvan-Newman Algorithm (GNM)
		3.3 Label Propagation Algorithm
		3.4 CNM (Clauset Newman) Algorithms
	4 Results
	5 Conclusion and Future Scope
	References
Attention-Based Model for Sentiment Analysis
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Word Embedding
		3.2 LSTM
	4 Proposed Model
	5 Experiment and Results
		5.1 Dataset
		5.2 Experimental Setting
		5.3 Performance Metrics
		5.4 Results
	6 Conclusion
	References
Lightning Search Algorithm Tuned Simultaneous Water Turbine Governor Actions for Power Oscillation Damping
	1 Introduction
	2 Hydro Turbine Modelling
	3 Hydro Governor with Generator Modelling
	4 Modelling of SPV Generation
	5 Objective Function
	6 LSA Algorithm
	7 Result and Discussion
	8 Conclusion
	References
A Framework for Syntactic Error Detection for Punjabi and Hindi Languages Using Statistical Pattern Matching Approach
	1 Introduction
	2 Existing Systems Grammar Checking Techniques Used
		2.1 Rule-Based Approach
		2.2 Syntax-Based Approach
		2.3 Statistics-Based Approach
		2.4 Machine Learning-Based Approach
		2.5 Hybrid Approach-Based Automated Grammar Checker
	3 Proposed Methodology
		3.1 Development of POS Patterns
		3.2 Check the Correctness of Hindi/Punjabi Language Sentences
	4 Result Outcomes and Discussion
	5 Conclusion and Future Scope
	References
Modified VGG16 Transfer Learning Approach for Lung Cancer Classification
	1 Related Works
	2 Methodology
		2.1 Dataset
		2.2 Pre-processing
		2.3 Transfer Learning
	3 Experimental Results
	4 Conclusions
	References
Metaheuristic Algorithms based Analysis of Turning Models
	1 Introduction
	2 Review of Literature on Machine Conditioning and Model Optimization
	3 Machining Parameter Optimization Models
	4 Methodology: Laplace Crossover and Power Mutation Genetic Algorithm (LXPM)
		4.1 Computational Steps of LXPM
		4.2 Laplace Crossover
		4.3 Power Mutation
		4.4 Constraint Handling in LXPM
		4.5 Parameter Settings
	5 Computational Analysis
	6 Conclusions
	References
Ensemble-Inspired Multi-focus Image Fusion Framework
	1 Introduction
	2 Proposed Framework
		2.1 Feature Extraction Process
		2.2 Learning Framework
	3 Experimental Results and Discussions
		3.1 Experimental and Evaluation Setup
		3.2 Performance Evaluation Results
	4 Conclusion
	References
Automated Human Tracing Using Gait and Face Using Artificial Neural Network in Surveillance System
	1 Introduction
	2 Research Objectives
	3 Introduction of Multimodal Biometrics
	4 Machine Learning
	5 Proposed Method
	6 Conclusion and Future Scope
	References
Lossless Compression Approach for Reversible Data Hiding in Encrypted Images
	1 Introduction
	2 Proposed Approach
		2.1 Encryption
		2.2 Embedding
		2.3 Secret Data and Image Retrieval
	3 Demonstration
	4 Experimental Results and Analysis
		4.1 Security Analysis
		4.2 Comparison
	5 Conclusion
	References
Boosting Algorithms-Based Intrusion Detection System: A Performance Comparison Perspective
	1 Introduction
	2 Classification of IDS
	3 Related Work
	4 Proposed IDS
	5 Evaluation and Discussion
	6 Conclusion
	References
ROI Segmentation Using Two-Fold Image with Super-Resolution Technique
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Histogram Equalization
		3.2 Gray Scale Erosion
		3.3 Thresholding
		3.4 Concealed Image Creation
		3.5 Two-Fold Image Creation
	4 Dataset
	5 Results and Discussions
	6 Comparative Analysis
	7 Conclusion
	References
Heart Disease Prediction Using Stacking Ensemble Model Based on Machine Learning Approach
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
		3.1 Dataset
		3.2 Data Cleaning and Analysis
		3.3 Learning Algorithms
	4 Results
	5 Conclusion and Future Work
	References
NIFTY-50 Index Forecasting Using CEEMDAN Decomposition and Deep Learning Models
	1 Introduction
	2 Methodology
		2.1 Empirical Mode Decomposition
		2.2 Complete Ensemble Empirical Mode Decomposition  with Adaptive Noise
		2.3 Convolutional Neural Networks (CNNs)
		2.4 CEEMDAN-CNN Model
	3 Simulation Results and Discussion
		3.1 The Statistical Analysis of Data
		3.2 Forecasting
	4 Conclusion
	References
Deep-Learning Supported Detection of COVID-19 in Lung CT Slices with Concatenated Deep Features
	1 Introduction
	2 Earlier Works
	3 Methodology
		3.1 Lung CT Images
		3.2 Pre-trained Deep-Learning Models
		3.3 Performance Evaluation
	4 Results and Discussion
	5 Conclusion
	References
Early Detection of Breast Cancer Using Thermal Images: A Study with Light Weight Deep Learning Models
	1 Introduction
	2 Context
	3 Methodology
		3.1 Breast Thermal Image
		3.2 Pre-trained Light Weight Deep Learning Scheme
		3.3 Feature Mining and Reduction
		3.4 Performance Evaluation
	4 Results and Discussion
	5 Conclusion
	References
Fake Image Detection Using Ensemble Learning
	1 Introduction
	2 Related Work
	3 Datasets
	4 Error Level Analysis
	5 Proposed Methodology
		5.1 Proposed Human-Generated Fake Image Classifier
		5.2 Proposed GAN-generated Fake Image Classifier
	6 Results
	7 Conclusion
	References
Author Index