Proceedings on International Conference on Data Analytics and Computing [[electronic resource] ] : ICDAC 2022 / / edited by Anupam Yadav, Gaurav Gupta, Puneet Rana, Joong Hoon Kim

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (XII, 396 p. 178 illus., 127 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Big data; Natural language processing (Computer science); Machine learning; Computational Intelligence; Artificial Intelligence; Big Data; Natural Language Processing (NLP); Machine Learning
• Persona (resp. second.): YadavAnupam; GuptaGaurav; RanaPuneet; KimJoong Hoon
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Proceedings on International Conference on Data Analytics and Computing
• ISBN: 981-9934-32-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910741141703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes on Data Engineering and Communications Technologies, . 2367-4520 ; ; 175