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Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2024, Volume 1
| Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2024, Volume 1 |
| Autore | Nanda Umakanta |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (483 pages) |
| Altri autori (Persone) |
TripathyAsis Kumar
SahooJyoti Prakash SarkarMahasweta LiKuan-Ching |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9789819718412
9789819718405 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910865241203321 |
Nanda Umakanta
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2024, Volume 2
| Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2024, Volume 2 |
| Autore | Nanda Umakanta |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (482 pages) |
| Disciplina | 004.36 |
| Altri autori (Persone) |
TripathyAsis Kumar
SahooJyoti Prakash SarkarMahasweta LiKuan-Ching |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9789819735235
9789819735228 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- OSNR Monitoring for QPSK and QAM in Fiber-Optic Networks Using Machine Learning -- 1 Introduction -- 2 Proposed Method -- 3 Support Vector Machine Algorithms -- 4 Simulation Results and Discussion -- 5 Conclusion and Future Research -- References -- Classification of Star and Galaxy Objects Utilizing Machine Learning Techniques and Deep Neural Networks -- 1 Introduction -- 2 Dataset -- 2.1 Processing Data -- 3 Machine Learning Approach for Star Versus Galaxy Classification -- 4 Convolutional Neural Networks-(CNN) -- 4.1 Convolutional Layers -- 4.2 Implementation Details -- 5 Result and Analysis -- 6 Conclusion -- References -- Probabilistic Forecasting Analysis on Electric Load Systems -- 1 Introduction -- 2 Review of Literature -- 3 Description of the Model -- 4 Sources of Data Generation -- 5 Computational Analysis and Results -- 5.1 Representation of ELG Units -- 5.2 Correlation Analysis -- 5.3 Bivariate Normal Distribution -- 5.4 Linear Regression and ARIMA Models -- 5.5 Electricity Consumption Charges -- 6 Conclusion -- References -- Smart City Survey on AIoT Using Machine Learning, Deep Learning, and Its Computing Tools -- 1 Introduction -- 2 IoT-Oriented Perspective -- 2.1 Smart Infrastructure -- 2.2 Air Management -- 2.3 Traffic Management -- 2.4 Waste Management -- 3 ML-Orient Perspective -- 3.1 Infrastructure -- 3.2 Air Management -- 3.3 Traffic Analysis -- 3.4 Waste Management -- 4 Deep Learning-Oriented Perspective -- 4.1 Supervised Learning -- 4.2 Unsupervised Learning -- 4.3 Reinforcement Learning -- 5 Computing Tools for Smart City -- 5.1 Cloud Computing -- 5.2 Fog Computing -- 5.3 Edge Computing -- 6 Conclusion -- References -- Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks -- 1 Introduction -- 1.1 Contributions Made in This Research.
2 Literature Study on Energy Harvesting -- 3 System Architecture -- 3.1 Hardware Requirements -- 3.2 Circuit Implementation -- 3.3 Energy Source: The PV Cell -- 3.4 Energy Storage Structures -- 3.5 Power Management Protocols -- 4 Lifetime Evaluation with Solar Energy Harvester -- 4.1 System Implementation and Analysis -- 5 Conclusion -- References -- Enhancing Real Estate Price Prediction in Smart Cities: A Comparative Analysis of Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Limitation -- 4 Methodology -- 4.1 Feature Engineering -- 4.2 Model Description and Predicting the Value -- 5 Results -- 6 Conclusion -- 7 Future Work -- References -- Real-Time AI-Based Face-Mask Detection -- 1 Introduction -- 2 Proposed Design Approach -- 2.1 Custom Dataset Gathering -- 2.2 Data Augmentation for Best Results -- 2.3 Training Model -- 3 Methodology -- 3.1 YOLO Algorithm -- 3.2 MobileNetV2 -- 4 Results and Discussion -- 5 Conclusion -- References -- A Logical Model for Multiple People Activity Recognition Using Non-intrusive Sensors for Geriatric Care -- 1 Introduction -- 2 Related Work -- 3 Problem Scenario -- 4 Logical FHMM for Multiple People Activity Recognition -- 4.1 Solution Overview -- 5 Experiments -- 5.1 Experimental Setup -- 6 Conclusion -- References -- From Sea to Table: A Blockchain-Enabled Framework for Transparent and Sustainable Seafood Supply Chains -- 1 Introduction -- 2 Related Work -- 3 Seafood Supply Chain and Blockchain -- 4 Conceptual Blueprint -- 4.1 The Flow of Code Implementation -- 5 Result -- 6 Discussion -- 7 Conclusion and Future Scope -- References -- Distributed State Estimation for GPS Navigation: The Correntropy Extended Kalman Filter Approach -- 1 Introduction -- 2 Literature Study -- 3 Correntropy Extended Kalman Filter -- 4 Results and Discussion -- 5 Conclusion -- References. Nayantara: Crime Analysis from CCTV Footage Using MobileNet-V2 and Transfer Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 System Architecture -- 3.2 Detection Model -- 3.3 Web Application -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Data Preprocessing -- 4.3 Working of the Detection Algorithm -- 4.4 CNN Model -- 4.5 Results -- 5 Conclusion -- References -- Bird Detection in Microlight Aircraft Strip Using YOLOv8for Adventure Tourism -- 1 Introduction -- 2 Bigdata Analytics Unlocks for Tourism Industry -- 2.1 Why is Microlight Aircraft Safety Important? -- 3 Literature Review -- 4 Implementation and Discussion -- 4.1 Methodology Used -- 4.2 Dataset Used -- 5 Performance Analysis and Results -- 6 Conclusion -- References -- A Graphical Tuning Method-Based Robust PID Controller for Twin-Rotor MIMO System with Loop Shaping Technique -- 1 Introduction -- 2 Preliminaries -- 2.1 Description of Twin-Rotor MIMO System -- 2.2 Design of Decouplers -- 2.3 FOPDT Model -- 3 upper H Subscript normal infinityHinfty Controller -- 4 Results an Discussions -- 5 Conclusion -- References -- Signature Verification Using Deep Learning: An Empirical Study -- 1 Introduction -- 2 Proposed Method -- 2.1 Data Acquisition -- 2.2 Pre-processing -- 2.3 Feature Extraction -- 2.4 Model and Algorithm Hyperparameters -- 2.5 Optimizing Algorithm -- 2.6 Batch Normalization and Dropout -- 3 Results -- 3.1 Performance Stats -- 3.2 Evaluation Metrics -- 4 Discussion -- 5 Conclusion -- References -- An Intelligent and Automated Machine Learning-Based Approach for Heart Disease Prediction and Personalized Care -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Data Pre-processing -- 3.3 Handling Imbalanced Classes -- 3.4 Data Normalization -- 3.5 Feature Relevance Analysis -- 4 Results and Discussion. 4.1 Comparative Analysis -- 5 Conclusion -- References -- Parkinson's Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Data Pre-processing -- 3.3 LSTM Architecture -- 4 Results and Discussion -- 4.1 Comparative Analysis -- 5 Conclusion -- References -- Polarity Detection of Online News Articles Using Deep Learning Techniques -- 1 Introduction -- 1.1 Deep Learning and Polarity Detection -- 2 Literature Survey -- 2.1 RNN with GRU -- 2.2 RNN with LSTM -- 2.3 Bidirectional RNN -- 2.4 CNN -- 2.5 Dynamic Dictionaries -- 3 Proposed Method -- 4 Experiment and Result Discussion -- 5 Conclusion and Future Work -- References -- Harnessing ResNet50 and EfficientNetB5 for Detection of Diabetic Retinopathy Using Explainable AI -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Results -- 4.1 Model Performance -- 4.2 Interpretation of Result -- 4.3 Model Explainability -- 5 Conclusion -- References -- A Grey Wolf and Rough Set Hybrid Approach for the Detection of Chronic Kidney Disease -- 1 Introduction -- 2 Schematic Representation of Proposed Research -- 3 Experimental Research on Chronic Kidney Disease -- 4 Result Analysis -- 4.1 Proposed GWRSO Data Analysis -- 5 Conclusion -- References -- Efficient Rice Disease Classification Using Intelligent Techniques -- 1 Introduction -- 2 Methodology -- 3 Data Description -- 3.1 Bacterial Leaf Blight -- 3.2 Brown Spot -- 3.3 Blast -- 3.4 Tungro -- 4 Experimental Setup and Performance Analysis -- 5 Conclusion -- References -- Maize Crop Yield Prediction Using Machine Learning Regression Approach -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Preprocessing -- 2.3 Feature Selection -- 2.4 Data Transformation -- 2.5 Model Building Algorithms -- 2.6 Evaluation Metrics. 3 Experiment and Results -- 3.1 Model Building, Training, and Testing -- 3.2 Dimension Reduction Using Principal Component Analysis (PCA) -- 3.3 Comparison of the Results -- 3.4 Identification of Main Features -- 3.5 Discussion of the Findings -- 4 Conclusion -- References -- Mode Division Multiplexing-Based Passive Optical Networks for High-Capacity Data Rate via Radio Over Fiber Technology -- 1 Introduction -- 2 Proposed Mode Division Multiplexing Passive Optical Network -- 3 Mode Division Multiplexing Layout Simulation by Using OptiSystemV20 -- 4 Simulation Design of MDM with QAM and DSPK -- 5 Simulation Design of MDM for Noise Removal Systems -- 6 Result and Discussion -- 7 Conclusion -- References -- Enhancing Urban Connectivity: Free Space Optics as a Resilient Backup Link for Fiber Networks in Urban Environments -- 1 Introduction -- 2 Proposed Block Diagram of FSO-NRZ System Model -- 3 Result and Discussion -- 4 Conclusion -- References -- Integrating ANSYS Simulation and Machine Learning Techniques for Thermo-Mechanical Analysis of PCBs -- 1 Introduction -- 2 Problem Statement and Methodology -- 3 Results and Discussions -- 4 Conclusions -- References -- Automation of Quality Assessment Procedures in School Education -- 1 Introduction -- 2 Software Tool for Quality Evaluation: Design and Software Prototype Development -- 3 Experiments -- 4 Conclusions -- References -- The FGSM Attack on Image Classification Models and Distillation as Its Defense -- 1 Introduction -- 2 Related Work -- 3 Theoretical Background -- 4 Results of the FGSM Attack -- 4.1 The Classification Results in the Absence of the FGSM Attack -- 4.2 The Classification Results in the Presence of the FGSM Attack -- 5 Distillation for Defense Against the FGSM Attack -- 6 Conclusion -- References -- An Experimentation of Firefly Algorithm Using a Different Set of Objective Functions. 1 Introduction. |
| Record Nr. | UNINA-9910878980403321 |
|
Nanda Umakanta
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2020 / / edited by Asis Kumar Tripathy, Mahasweta Sarkar, Jyoti Prakash Sahoo, Kuan-Ching Li, Suchismita Chinara
| Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2020 / / edited by Asis Kumar Tripathy, Mahasweta Sarkar, Jyoti Prakash Sahoo, Kuan-Ching Li, Suchismita Chinara |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 004.36 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Machine learning Electrical engineering Computational Intelligence Machine Learning Communications Engineering, Networks |
| ISBN | 981-15-4218-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Customized Score-Based Security Threat Analysis in VANET -- Blackhole Detection and Mitigation Using Active Trust in Wireless Sensor Networks -- Power Allocation Based QoS Guarantees in Millimeter Wave Enabled Vehicular Communication -- A Multi-Objective Optimization Scheduling Algorithm in Cloud Computing -- Addressing Security and Computation Challenges in IoT Using Machine Learning -- Survey of Blockchain Applications in Database Security -- A Comparative Analysis of Accessibility and Stability of Different Networks -- Analysis and Prediction of the Survival of Titanic Passengers Using Machine Learning -- Rising Star Evaluation Using Statistical Analysis in Cricket -- A Comparative Study of Genetic Algorithm and Neural Network Computing Techniques Over Feature Selection. |
| Record Nr. | UNINA-9910484584903321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||