The proceedings contain 69 papers. The special focus in this conference is on Advances in computing and Data Sciences. The topics include: Identification of Landslide Vulnerability Zones and Triggering Factors Using D...
ISBN:
(纸本)9783031126406
The proceedings contain 69 papers. The special focus in this conference is on Advances in computing and Data Sciences. The topics include: Identification of Landslide Vulnerability Zones and Triggering Factors Using Deep Neural Networks – An Experimental Analysis;Classifying Offensive Speech of Bangla Text and Analysis Using Explainable AI;android Malware Detection Using Hybrid Meta-heuristic Feature Selection and Ensemble learning Techniques;scoring Scheme to Determine the Sensitive Information Level in Surface Web and Dark Web;video Descriptor Using Attention Mechanism;Informative Software Defect Data Generation and Prediction: INF-SMOTE;2D-CNN Model for Classification of Neural Activity Using Task-Based fMRI;real-Time Multi-task Network for Autonomous Driving;Cardiovascular Disease Classification Based on machinelearningalgorithms Using GridSearchCV, Cross Validation and Stacked Ensemble Methods;crDrcnn: Design and Development of Crow Optimization-Based Deep Recurrent Neural Network for Software Defect Prediction;human Emotion Recognition from Body Posture with machinelearning Techniques;a Body Area Network Approach for Stroke-Related Disease Diagnosis Using Artificial Intelligence with Deep learning Techniques;Accelerating the Performance of Sequence Classification Using GPU Based Ensemble learning with Extreme Gradient Boosting;automated Vehicle Number Recognition Scheme Using Neural Networks;Noise Prediction Using LIDAR 3D Point Data - Determination of Terrain Parameters for Modelling;block Based Resumption Techniques for Efficient Handling of Unsuccessful Loads in Data Warehouse;augmentations: An Insight into Their Effectiveness on Convolution Neural Networks;a Comprehensive Analysis of Linear Programming in Image Processing;machinelearning Based Approaches to Detect Loan Defaulters;quantifying Nodes Trustworthiness Using Hybrid Approach for Secure Routing in Mobile Ad Hoc Networks;FRAMS: Facial Recognition Attendance Management System.
The proceedings contain 77 papers. The special focus in this conference is on Parallel Processing and Applied Mathematics. The topics include: Neural Nets with a Newton Conjugate Gradient Method on Mult...
ISBN:
(纸本)9783031304446
The proceedings contain 77 papers. The special focus in this conference is on Parallel Processing and Applied Mathematics. The topics include: Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs;Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications;Cost and Performance Analysis of MPI-Based SaaS on the Private Cloud Infrastructure;building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations;evaluation of machinelearning Techniques for Predicting Run Times of Scientific Workflow Jobs;Smart Clustering of HPC Applications Using Similar Job Detection Methods;distributed Work Stealing in a Task-Based Dataflow Runtime;task Scheduler for Heterogeneous Data Centres Based on Deep Reinforcement learning;Shisha: Online Scheduling of CNN Pipelines on Heterogeneous Architectures;General Framework for Deriving Reproducible Krylov Subspace algorithms: BiCGStab Case;proactive Task Offloading for Load Balancing in Iterative Applications;language Agnostic Approach for Unification of Implementation Variants for Different computing Devices;high Performance Dataframes from Parallel Processing Patterns;global Access to Legacy Data-Sets in Multi-cloud Applications with Onedata;MD-Bench: A Generic Proxy-App Toolbox for State-of-the-Art Molecular Dynamics algorithms;Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software;GPU-Based Molecular Dynamics of Turbulent Liquid Flows with OpenMM;a Novel Parallel Approach for Modeling the Dynamics of Aerodynamically Interacting Particles in Turbulent Flows;reliable Energy Measurement on Heterogeneous Systems–on–Chip Based Environments;distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans;a Generalized Parallel Prefix Sums Algorithm for Arbitrary Size Arrays;GPU4SNN: GPU-Based Acceleration for Spiking Neural Network Simulations;Ant System Inspired Heuristic Optimization of UAVs Depl
The proceedings contain 77 papers. The special focus in this conference is on Parallel Processing and Applied Mathematics. The topics include: Neural Nets with a Newton Conjugate Gradient Method on Mult...
ISBN:
(纸本)9783031304415
The proceedings contain 77 papers. The special focus in this conference is on Parallel Processing and Applied Mathematics. The topics include: Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs;Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications;Cost and Performance Analysis of MPI-Based SaaS on the Private Cloud Infrastructure;building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations;evaluation of machinelearning Techniques for Predicting Run Times of Scientific Workflow Jobs;Smart Clustering of HPC Applications Using Similar Job Detection Methods;distributed Work Stealing in a Task-Based Dataflow Runtime;task Scheduler for Heterogeneous Data Centres Based on Deep Reinforcement learning;Shisha: Online Scheduling of CNN Pipelines on Heterogeneous Architectures;General Framework for Deriving Reproducible Krylov Subspace algorithms: BiCGStab Case;proactive Task Offloading for Load Balancing in Iterative Applications;language Agnostic Approach for Unification of Implementation Variants for Different computing Devices;high Performance Dataframes from Parallel Processing Patterns;global Access to Legacy Data-Sets in Multi-cloud Applications with Onedata;MD-Bench: A Generic Proxy-App Toolbox for State-of-the-Art Molecular Dynamics algorithms;Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software;GPU-Based Molecular Dynamics of Turbulent Liquid Flows with OpenMM;a Novel Parallel Approach for Modeling the Dynamics of Aerodynamically Interacting Particles in Turbulent Flows;reliable Energy Measurement on Heterogeneous Systems–on–Chip Based Environments;distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans;a Generalized Parallel Prefix Sums Algorithm for Arbitrary Size Arrays;GPU4SNN: GPU-Based Acceleration for Spiking Neural Network Simulations;Ant System Inspired Heuristic Optimization of UAVs Depl
The proceedings contain 43 papers. The topics discussed include: used car price prediction using machinelearning: a case study;cloud computing for healthcare services: technology, application and architecture;adaptiv...
ISBN:
(纸本)9781665487245
The proceedings contain 43 papers. The topics discussed include: used car price prediction using machinelearning: a case study;cloud computing for healthcare services: technology, application and architecture;adaptive region growing based on detecting the seed point in the central trachea to the pre-segment respiratory system;a stochastic 3d model for three-phase heterogeneous microstructures in SOFC-electrodes;partial finite-time stabilization for a mono-dimensional transport bilinear system;bilinear optimal stabilization of a non-homogeneous Fokker-Planck equation;stochastic modeling of hyperconnected mobile modular production problem;vehicle speed measurement, type, and color identification by video processing using machinelearningalgorithms;relevant pitch features selection for voice disorders families classification;stochastic volatility, a closed formula for futures contracts;deployment strategies of mobile networks for internet-of-things in smart maritime ports;and an image fusion method using shift-invariant adaptive selectivity representation and parameter-adaptive PCNN.
The proceedings contain 23 papers. The special focus in this conference is on Advanced Informatics for computing Research. The topics include: Efficient Entity Resolution for Bibliographic Data Using MapReduce;se...
ISBN:
(纸本)9783031094682
The proceedings contain 23 papers. The special focus in this conference is on Advanced Informatics for computing Research. The topics include: Efficient Entity Resolution for Bibliographic Data Using MapReduce;securing of Identification System Data Transmission Using Deep Autoencoders and Data Hiding;a Hybrid Filter/Wrapper machinelearning Model for Classification Cancer Dataset;edge-Assisted IoT Architecture: A Case of Air Pollution Monitoring Frameworks;optimized Analysis Using Feature Selection Techniques for Drug Discovery Detection;crop Identification and Disease Detection by Using Convolutional Neural Networks;an Efficient Novel Approach for Detection of Handwritten Numericals Using machinelearning Paradigms;multiclass Classification in machinelearningalgorithms for Disease Prediction;CREA-Components Reusability Evaluation and Assessment: An Algorithmic Perspective;capsule Network Based Speech Emotion Recognition for Efficient Capturing of Spatial Features;a Survey and Analysis on the Distraction Patterns of the Students in E-learning and M-learning Environments;relationships Among Human Genome Graph Elements Using Clusters Detection;transfer learning Architecture Approach for Smart Transportation System;preface;a Blockchain-Based Solution for Electronic Medical Records System in Healthcare;analysing Sentiments of People Over Vaccines in Reddit Posts Using Natural Language Processing;segmentation of Tumor Region from Mammogram Images Using Deep learning Approach;review on IoT Based Real-Time Healthcare Monitoring System;application of IoT in 5G Wireless Communication: A Detailed Review;enhanced Service Point Approach for Microservices Based Applications Using machinelearning Techniques;Worldwide Vaccination Report for COVID-19 Analysis and Visualization Using Deep learning.
machinelearning is one of the most rapidly developing technologies, and it is currently being utilized in every kind of application. The Healthcare industry has been benefiting exponentially from this emerging techno...
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machinelearning is one of the most rapidly developing technologies, and it is currently being utilized in every kind of application. The Healthcare industry has been benefiting exponentially from this emerging technology. Among the number of advantages heart failure prediction is one of them. Almost 17.9 million people die from heart disease every year. This research predicts heart failure with seven machinelearning classification algorithms by the factors or features of health conditions such as age, resting blood pressure, chest pain type, cholesterol, fasting blood sugar, resting electro diagram, maximum heart rate, etc. Then, it is accompanied by a comparative performance analysis of these algorithms. The research shows that Naive-bias, Random Forest, and Support Vector machines are outperformed to predict heart failure. The accuracy of these algorithms is almost 85-86%.
The proceedings contain 59 papers. The special focus in this conference is on New Trends in Computer Technologies and Applications. The topics include: Prediction of Middle-Aged Unhealthy Facial Skin Using VGG19 ...
ISBN:
(纸本)9789811995811
The proceedings contain 59 papers. The special focus in this conference is on New Trends in Computer Technologies and Applications. The topics include: Prediction of Middle-Aged Unhealthy Facial Skin Using VGG19 and Support Vector machine Models;real-Time Intentional Eye Blink Detection Using Rhombus Identification;difficulty-Aware Mixup for Replay-based Continual learning;vision-Based Lightweight Facial Respiration and Heart Rate Measurement Technology;GAN-Based Criminal Suspect Face Generator;priority algorithms with Advice for Disjoint Path Allocation Problems (Extended Abstract);automatic Summarization of Critical Threat Intelligence Using Transfer learning;anti-screenshot Watermarking Algorithm About Archives Image Based on Deep learning Model;detecting Android Malware by Combining System Call Sequence Relationships with Local Feature Calculation;a Detector Using Variant Stacked Denoising Autoencoders with Logistic Regression for Malicious JavaScript with Obfuscations;a Lightweight and Robust Authentication and Key Agreements with Physically Unclonable Function in Manufacturing Environments;image Compression and Meaningful Ciphertext Encryption Based on Histogram Shift Embedding;a Robust Two Factor Authentication Scheme with Fine Grained Biometrics Verification;applying an IoT Analytics Framework in East asia Area;Android Malware Classifier Combining Permissions and API Features to Face Model Drifting;design and Implementation of the Optimized computing Architecture for Matrix Decomposition algorithms;on Two Variants of Induced Matchings;Design and Implementation of the CNN Accelator Based on Multi-streaming SIMD Mechanisms;Design and Implementation of the Link-List DMA Controller for High Bandwidth Data Streaming;STEM Education Meets HPC;Research on KNN-Based GNSS Coordinate Classification for Epidemic Management;An Improved Light Weight Countermeasure Scheme to Efficiently Mitigate TCP Attacks in SDN;the Effectiveness of Block-Based Programming learning on th
machinelearningalgorithms can study existing data to perform specific tasks. One of the well-known machinelearningalgorithms is the backpropagation algorithm, but this algorithm often provides poor convergence spe...
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The proceedings contain 28 papers. The special focus in this conference is on Computers, Management and Mathematical Sciences. The topics include: Simulation of GA-Based Harmonics Elimination in CHMLI Using DTC for Dy...
ISBN:
(纸本)9783031251931
The proceedings contain 28 papers. The special focus in this conference is on Computers, Management and Mathematical Sciences. The topics include: Simulation of GA-Based Harmonics Elimination in CHMLI Using DTC for Dynamic Load;Discussing the Future Perspective of machinelearning and Artificial Intelligence in COVID-19 Vaccination: A Review;embedded Platform-Based Heart-Lung Sound Separation Using Variational Mode Decomposition;MIMO: Modulation Schemes for Visible Light Communication in Indoor Scenarios;image Resampling Forensics: A Review on Techniques for Image Authentication;the Impact of Perceived Justice and Customer Trust on Customer Loyalty;performance Analysis of Wind Diesel Generation with Three-Phase Fault;C-RPI: Cluster-Based Rendezvous Point Identification and Mobile Sink-Based Data Collection in LR-WPAN;Effect of Weather on the COVID-19 Pandemic in North East India;sentiment Analysis Using Social Media and Product Reviews;a Comparative Study on the Performance of Soft computing Models in the Prediction of Orthopaedic Disease in the Environment of Internet of Things;Maximization of Active Power Delivery in WECS Using BDFRG;Identification and Detection of Credit Card Frauds Using CNN;different Degradation Modes of Field-Deployed Photovoltaic Modules: A Literature Review;impact of Security Attacks on Spectrum Allocation in Cognitive Radio Networks;human Activity Detection Using Attention-Based Deep Network;software Vulnerability Classification Using learning Techniques;service Recovery: Past, Present, and Future;an In-depth Accessibility Analysis of Top Online Shopping Websites;a Stable Model for learningand Memorization in Over-Parameterized Networks;analysis of Depth Sensing and Lane Detection algorithms for Advanced Driver Assistance Systems;implementation of E-Commerce Application with Analytics.
The shift to renewable power sources and building electrification to decarbonize existing and emerging building stock present unique challenges for the power grid. Building loads and flexible resources e.g. batteries ...
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