Proceedings on International Conference on Data Analytics and Computing

Name: Proceedings on International Conference on Data Analytics and Computing | ICDAC 2022
Brand: Springer
Price: 255.73 EUR
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ICDAC 2022

Anupam Yadav Gaurav Gupta Puneet Rana Joong Hoon Kim(Editor)

Springer (Publisher)

Published on 8. August 2023

XII, 396 pages

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978-981-99-3432-4 (ISBN)

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Dr. Anupam Yadav is an assistant professor of the Department of Mathematics at Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing and artificial intelligence; he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done a Ph.D. in soft computing from the Indian Institute of Technology Roorkee, and he had worked as a research professor at Korea University. He has published more than twenty-five research articles in journals of international repute and has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a textbook entitled "An introduction to neural network methods for differential equations." He has edited several books which are published by AISC, LNDECT Springer Series. Dr. Yadav was the general chair, convener and member of the steering committee of several international conferences. He isa member of various research societies.

Dr. Gaurav Gupta is an assistant professor and department chair of Mathematics at the Wenzhou Kean-University, Wenzhou, China. He has 13 years of teaching and research experience. From 2007 to 2010, he worked for Indian Space Research Organization (ISRO). He obtained more than $120,000 in grant funding from Wenzhou-education bureau. His research focus is in the area of data analytics, image processing, computer vision and soft computing. Dr. Gupta has published 31 research papers in reputed journals and conferences. He has guided two Ph.D. students, 9 Masters dissertations and 3 undergraduate projects. He has participated and contributed in many conferences and workshops as keynote speaker, technical committee and session chair.

Dr. Puneet Rana is working as an assistant professor of Mathematics at the Wenzhou-Kean University, Wenzhou, China. He has more than ten years of teaching and research experience. He has received his Ph.D. degree in the field of applied mathematics with specialization in "nanofluids" from Indian Institute of Technology Roorkee, India, in 2013. His research interest includes nanotechnology, soft computing, numerical methods, thermal stability analysis, etc. He was awarded "research fellowship" for pursuing higher education by CSIR, India and travel grant for attending various international conferences by INSA and DST, India. He has also guided two Ph.D. students in the field of "nanotechnology" and published more than 60+ research papers in international journals and conferences of high impact with more than 1800+ Google and Scopus citation. He was also invited to the school of mathematical sciences, Universiti Sains Malaysia, Penang, Malaysia, for collaborative research work. One of his papers is recognized by Science-Direct as a most cited paper published in Communications in Nonlinear Science and Numerical Simulation, Elsevier, in 2012. He has participated and contributed in many conferences and workshops as a keynote speaker and technical committee member. He served as a reviewer of several Top ISI journals including Scientific reports, Physics of fluids, IJHMT, IJTS and many more.

Prof. Kim, the dean of Engineering College of Korea University, obtained his Ph.D. degree from the University of Texas at Austin in 1992 with the thesis title "Optimal replacement/rehabilitation model for water distribution systems." Prof. Kim's major areas of interest include: optimal design and management of water distribution systems, application of optimization techniques to various engineering problems and development and application of evolutionary algorithms. He has been the faculty of School of Civil, Environmental and Architectural Engineering at Korea University since 1993 and is now serving as the dean of Engineering College. He has hosted international conferences including APHW2013, ICHSA 2014 & 2015 and HIC 2016 and has given keynote speeches at many international conferences including AOGS 2013, GCIS 2013, SocPros 2014 & 2015, SWGIC 2017 and RTORS 2017. He is a member of National Academy of Engineering of Korea since 2017.

Content

Intro
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
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Proceedings on International Conference on Data Analytics and Computing

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