12588nam 22007695 450 991074114170332120230808202720.0981-9934-32-X10.1007/978-981-99-3432-4(CKB)27943959000041(DE-He213)978-981-99-3432-4(PPN)27226671X(MiAaPQ)EBC31094170(Au-PeEL)EBL31094170(EXLCZ)992794395900004120230808d2023 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierProceedings on International Conference on Data Analytics and Computing[electronic resource] ICDAC 2022 /edited by Anupam Yadav, Gaurav Gupta, Puneet Rana, Joong Hoon Kim1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (XII, 396 p. 178 illus., 127 illus. in color.) Lecture Notes on Data Engineering and Communications Technologies,2367-4520 ;1759789819934317 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.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 28–29 May 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 post graduate students, researchers and academic professionals.Lecture Notes on Data Engineering and Communications Technologies,2367-4520 ;175Computational intelligenceArtificial intelligenceBig dataNatural language processing (Computer science)Machine learningComputational IntelligenceArtificial IntelligenceBig DataNatural Language Processing (NLP)Machine LearningComputational intelligence.Artificial intelligence.Big data.Natural language processing (Computer science).Machine learning.Computational Intelligence.Artificial Intelligence.Big Data.Natural Language Processing (NLP).Machine Learning.006.3Yadav Anupamedthttp://id.loc.gov/vocabulary/relators/edtGupta Gauravedthttp://id.loc.gov/vocabulary/relators/edtRana Puneetedthttp://id.loc.gov/vocabulary/relators/edtKim Joong Hoonedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910741141703321Proceedings on International Conference on Data Analytics and Computing3567531UNINA