Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2024, Volume 1

• Record Nr.: UNINA9910865241203321
• Autore: Nanda Umakanta
• Pubbl/distr/stampa: Singapore : , : Springer, , 2024; ©2024
• ISBN: 9789819718412; 9789819718405
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (483 pages)
• Collana: Lecture Notes in Networks and Systems Series ; ; v.955
• Altri autori (Persone): TripathyAsis Kumar; SahooJyoti Prakash; SarkarMahasweta; LiKuan-Ching
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Preface -- Contents -- Editors and Contributors -- Comparative Analysis of Deep Learning-Based Hybrid Algorithms for Liver Disease Prediction -- 1 Introduction -- 2 Literature Review -- 3 Proposed Algorithm -- 3.1 Existing Methods -- 3.2 LSTM-CNN -- 3.3 CNN + GRU -- 3.4 CNN + RNN -- 3.5 Diagrammatic Representation of Algorithms -- 4 Methodology -- 4.1 Architecture -- 4.2 Dataset Description and Sample Data -- 4.3 Data Preprocessing and Visualization -- 4.4 Feature Selection -- 4.5 Train-Test Split -- 4.6 Code Implementation -- 5 Experimentation -- 5.1 Result Analysis -- 6 Conclusions -- References -- A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method -- 1 Introduction -- 1.1 Motivation -- 1.2 Background -- 2 Material -- 2.1 Dataset -- 2.2 Hardware and Software -- 3 Proposed Methods -- 3.1 RGB to HSV Conversion -- 3.2 RGB to CIE L * u* v Conversion -- 3.3 Cross-colour Space Feature Ensemble -- 3.4 Classical and Quantum Classification Models -- 3.5 Quantum-Classical Stack Ensemble -- 3.6 Evaluation Metric -- 4 Results and Discussion -- 5 Conclusion -- ; References -- Face Recognition Using CNN for Monitoring and Surveillance of Neurological Disorder Patients -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Result and Discussion -- 5 Conclusion and Future Work -- References -- A Review on Satellite Image Segmentation Using Metaheuristic Optimization Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Thresholding -- 2.2 Metaheuristic Algorithms -- 3 Image Quality Metrics -- 3.1 Peak Signal-to-Noise Ratio (PSNR) -- 3.2 Mean Square Error (MSE) -- 3.3 Structural Similarity Index (SSIM) -- 3.4 Feature Similarity Index (FSIM) -- 4 Results and Discussion -- 5 Conclusion -- References.; A Framework for Enabling Artificial Intelligence Inference for the Hardware Acceleration of IVIS Imaging System -- 1 Introduction -- 2 Background -- 2.1 Industrial Vision Sensor Architecture -- 2.2 Hardware Acceleration of Industrial Vision Sensor -- 3 Theoretical Background -- 3.1 Vitis AI -- 3.2 Vitis AI Library APIs -- 4 Process Flow and Proposed Architecture -- 4.1 Vitis AI Process Flow -- 4.2 Architecture of the Proposed System -- 5 Experimentation -- 5.1 Deployment of Vitis AI Model Zoo Models in Industrial Vision Sensor -- 5.2 Deployment of Custom Models in Industrial Vision Sensor -- 6 Result and Discussion -- 6.1 Vitis AI Model Zoo Models' Inferences in iW-C4EV SOM -- 6.2 Custom Model Inferences in ZCU102 Evaluation Board -- 6.3 Analysis of Inferences Based on Vitis AI Framework -- 7 Conclusion -- References -- Cloud-Based Anomaly Detection for Broken Rail Track Using LSTM Autoencoders and Cross-modal Audio Analysis -- 1 Introduction -- 2 Literature Review -- 3 Network Model, Dataset, and Preliminaries -- 4 Proposed Approach -- 4.1 Preprocessing -- 4.2 Feature Extraction -- 4.3 Classification Models, Parameterizations, and Algorithm -- 5 Experimental Analysis and Results -- 6 Conclusion -- References -- A Study on the Mental Health Among Indian Population in the Post COVID-19 Pandemic Using Computational Intelligence -- 1 Introduction -- 2 Schematic Representation of Projected Investigation -- 3 An Empirical Study on Mental Health -- 4 Result Analysis -- 4.1 Proposed WOARS Data Analysis -- 5 Conclusion -- References -- Optimized VM Migration for Energy and Cost Reduction Using TSO Algorithm in Cloud Computing -- 1 Introduction -- 1.1 Problem Identification and Objectives -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Parameters' Estimation -- 3.2 Fitness Function for Migration Condition -- 3.3 Tuna Swarm Optimization (TSO).; 4 Experimental Results -- 4.1 Results -- 5 Conclusion -- References -- Towards Finger Pulse Photoplethysmogram Based Non-invasive Classification of Diabetic versus Normal -- 1 Introduction -- 2 Methods -- 2.1 System Architecture -- 2.2 Data Acquisition Protocols -- 2.3 Database -- 2.4 Data Pre-processing -- 2.5 Feature Extraction -- 2.6 Hyper Parameters to Improve the Performance of Random Forest Classifier -- 2.7 Model Performance Analysis -- 3 Results -- 3.1 ROC Curve for Random Forest Classifier Trained with Different Sample Size and Overall Performance Curve -- 3.2 Output of Random Forest Classifier -- 4 Discussion -- 5 Conclusion -- References -- Evaluation of Weather Forecasting Models and Handling Anomalies in Short-Term Wind Speed Data -- 1 Introduction -- 2 Literature Survey -- 3 Analysis of Weather Forecast Models and Imputation -- 4 Conclusions and Future Work -- References -- Valluvan: Processing Name Board Images to Enhance Communication for Native Tamil Speakers -- 1 Introduction -- 2 Existing Systems -- 2.1 Google Lens -- 2.2 ABBYY TextGrabber -- 2.3 Text Fairy -- 3 Proposed Model -- 3.1 System Architecture -- 3.2 Flowchart -- 3.3 Image-Processing Algorithms and Techniques -- 3.4 Web Development Framework and Tools -- 3.5 ; Integration of Image Processing and Web Application -- 4 Implementation -- 4.1 Data Collection and Dataset Description -- 4.2 System Design and Development -- 4.3 Image-Processing Algorithms Implementation -- 5 Results and Discussion -- 5.1 User Interface -- 5.2 Comparison with Existing Solutions -- 5.3 Areas for Further Enhancement of Valluvan -- 6 Conclusion -- References -- Comparative Evaluation of Wavelet Transform Methods for Surface Roughness in Turning of Monel 400 Superalloy: A Precision Analysis -- 1 Introduction -- 2 Experimental Setup -- 2.1 Turning -- 2.2 Surface Preparation -- 2.3 Surface Profilometry.; 2.4 Surface Roughness Parameters -- 2.5 SEM Microscopy -- 2.6 Data Analysis -- 2.7 Image Preprocessing -- 2.8 Filter Selection and Decomposition -- 2.9 Approximation Coefficient Extraction -- 3 Discrete Wavelet Transform -- 3.1 Algorithm -- 3.2 Pseudocode -- 4 Stationary Wavelet Transform (SWT) -- 4.1 Algorithm -- 4.2 Pseudocode -- 5 The Empirical Wavelet Transform (EWT) -- 5.1 Algorithm -- 5.2 Pseudocode -- 6 The Transverse Dyadic Wavelet Transform (TDyWT) -- 6.1 Algorithm -- 6.2 Pseudocode -- 7 Results and Discussion -- 8 Conclusion -- References -- Facial Detection and Recognition in Drone Imagery Using FaceNet -- 1 Introduction -- 1.1 FaceNet -- 1.2 Multi-task Cascaded Convolutional Networks (MTCNNs) -- 1.3 K-Nearest Neighbors -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Defining the FaceNet Architecture and Model Training -- 3.3 Result Analysis -- 4 Conclusion and Future Work -- References -- Cost Effective and Energy Efficient Drip Irrigation System for IoT Enabled Smart Agriculture -- 1 Introduction -- 2 Related Works -- 3 Methodology of the Proposed Smart Drip Irrigation System -- 3.1 System Components -- 3.2 Mechanism to Measure the Water Flow -- 3.3 Circuit Design -- 3.4 REST API Development -- 4 Results and Discussions -- 5 Conclusion -- References -- Efficient Energy Management by Using SJF Scheduling in Wireless Sensor Network -- 1 Introduction -- 1.1 Shortest Job First Scheduling -- 2 Literature Review -- 3 Proposed Model -- 3.1 Mathematical Formulation -- 3.2 Implementation -- 4 Results and Discussion -- 4.1 Validation of the Proposed Model -- 5 Conclusion -- References -- Intelligent Healthcare System Using Emerging Technologies: A Comprehensive Survey -- 1 Introduction -- 2 Methodology -- 3 Research Areas -- 3.1 Wireless Body Area Networks (WBANs).; 3.2 Cloud and Edge-Based Intelligent Health Care -- 3.3 Internet of Medical Things -- 4 Challenges and Future Research Direction -- 5 Conclusion -- References -- Statistical and Deep-Learning Approaches for Individual Carbon Footprint Calculation in India -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Collection and Preprocessing -- 3.2 Models for Carbon Footprint Calculation -- 4 Performance Analysis -- 5 Conclusion and Future Works -- 5.1 Conclusion -- 5.2 Future Scope -- References -- Revolutionizing Data Annotation with Convergence of Deep Learning and Active Learning to Enhance Credibility on Twitter Datasets -- 1 Introduction -- 2 Related Work -- 3 Synergizing Active Learning and Deep Learning -- 3.1 Active Learning (AL) -- 3.2 Deep Learning (DL) -- 3.3 Convergence of Active Learning and Deep Learning -- 4 Methodology -- 5 Evaluation and Results -- 6 Conclusion and Future Work -- References -- Resnet-50 Integrated with Attention Mechanism for Remote Sensing Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 ResNet-50 -- 3.2 Attention Mechanism -- 3.3 Integration of CAM -- 4 Experiments and Analysis -- 5 Conclusion -- References -- Reliability Assessment of IoT-Enabled Systems Using Fault Trees and ; Bayesian Networks -- 1 Introduction -- 2 Related Works -- 3 Proposed System Design and Fault Tree Generation -- 4 Conversion of Fault Tree to Bayesian Network -- 5 Reliability Analysis -- 5.1 Predictive Analysis -- 5.2 Criticality Analysis -- 5.3 Comparison With Other Approaches -- 6 Conclusion -- References -- Block-Chain and Cloud-Based Tender Allocation System -- 1 Introduction -- 2 Literature Review -- 3 Flow Design -- 4 Practical Implementation -- 5 Proposed Methodology -- 5.1 Public and Private Block-Chain -- 5.2 Smart Contracts -- 5.3 Cloud Computing -- 5.4 Block-Chain Integration.; 5.5 Cloud Computing Integration.