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

✍ Scribed by Anupam Yadav (editor), Gaurav Gupta (editor), Puneet Rana (editor), Joong Hoon Kim (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 391
• Category: Library

✦ Synopsis

This book features selected papers presented at International Conference on Data Analytics and Computing (ICDAC 2022), organized by Department of Mathematics, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China, held during May 28–29, 2022. This book includes state-of-the-art current trends in data science, data analytics optimization, soft computing and related areas. Its primary readers are postgraduate students, researchers and academic professionals.

✦ Table of Contents

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