Описание: This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.
Описание: This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.
Описание: Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis.- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments.- Stratification of Indian Dance Forms through Audio Signal.- Forecasting House Price with an Optimum Set of Features.- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction.- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques.- A Proposed Gene Selection Approach for Disease Detection.- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks.- Raw Data Redundancy Elimination on Cloud Database.- Secured Cloud System Using Deep Learning.- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System.
Track of Computational Optimization, Modelling and Simulation.- Information Theory-based Feature Selection: Minimum Distribution Similarity with Removed Redundancy.- On the potential of the nature-inspired algorithms for pure binary Classification.- Symbolic Music Text Fingerprinting: Automatic Identification of Musical Scores.- Reduced-Cost Constrained Modeling of Microwave and Antenna Components: Recent Advances.- Aerodynamic Shape Optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging.- Model-Based Sensitivity Analysis of Nondestructive Testing Systems using Machine Learning Algorithms.- Application of Underdetermined Differential Algebraic Equations to Solving One Problem from Heat Mass Transfer.- Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks.- Deep Learning Assisted Memetic Algorithm for Shortest Route Problems.- A relaxation algorithm for optimal control problems governed by two-dimensional conservation laws.- Genetic learning particle swarm optimization with interlaced ring topology.- Low Reynolds Number Swimming with Slip Boundary Conditions.- Trilateration-based Multilevel Method for Minimizing the Lennard-Jones Potential.- A Stochastic Birth-Death Model of Information Propagation Within Human Networks.- A Random Line-Search Optimization Method Via Modified Cholesky Decomposition for Non-Linear Data Assimilation.- A Current Task-Based Programming Paradigms Analysis.- Radial Basis Functions Based Algorithms for non-Gaussian Delay Propagation in Very Large Circuits.- Ant Colony Optimization implementation for reversible synthesis in Walsh-Hadamard domain.- COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking.- Convex Polygon Packing Based Meshing Algorithm for Modeling of Rock and Porous Media.- Track of Computational Science in IoT and Smart Systems.- Modelling contextual data for smart environments. Case study of a system to support mountain rescuers.- Fuzzy Intelligence in Monitoring Older Adults with Wearables.- Deep Analytics for Management and Cybersecurity of the National Energy Grid.- Regression methods for detecting anomalies in flue gas desulphurization installations in coal-fired power plants based on sensor data.- Autonomous Guided Vehicles for Smart Industries the state of the art and research challenges.- IoT-based cow health monitoring system.- Visual Self-Healing Modelling for Reliable Internet-of-Things Systems.- Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks.- Conversational Interface for Managing Non-Trivial Internet-of-Things Systems.- Improving Coverage Area in Sensor Deployment using Genetic Algorithm.- Object-Oriented Internet Reactive Interoperability.- Impact of long-range dependent traffic in IoT local wireless networks on backhaul link performance.- Track of Computer Graphics, Image Processing and Artificial Intelligence.- OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems.- Weighted Clustering for Bees Detection on Video Images.- Improved Two-Step Binarization of Degraded Document Images Based on Gaussian Mixture Model.- Cast Shadow Generation using Generative Adversarial Networks.- Medical Image Enhancement using Super Resolution Methods.- Plane Space Representation in Context of Mode-based Symmetry Plane Detection.- Impression Curve as a New Tool in the study of Visual Diversity of Computer Game Levels for Individual Phases of the Design Process.- Visual analysis of computer game output video stream for gameplay metrics.- Depth map estimation with consistent normals from stereo images.- Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-Adaptive Firefly Algorithm.- Dual formulation of the TV-Stokes denoising model for multidimensional vectorial images.- Minimizing material consumption of 3D printing with stress-guide
Описание: This book presents the latest advances and research findings in the fields of computational science and communication presented at the International Conference on Smart Innovations in Communications and Computational Sciences (ICSICCS 2020). The areas covered include smart innovation;
Описание: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020.
Описание: Content Recommendation Based on Topic Modeling.- Hybrid ANFIS-GA and ANFIS-PSO based models for prediction of Type 2 diabetes mellitus.- Social Network Analysis of YouTube: A Case Study on Content Diversity and Genre Recommendation.- Feature Extraction Technique for Vision based Indian Sign Language Recognition System: A Review.- Feature Based Supervised Classifier to Detect Rumor in Social Media.- K-harmonic Mean Based Appraoch for Testing the Aspect Oriented Systems.- An Overview of Use of Artificial Neural Network in Sustainable Transport System
Описание: Decision support model for assessing projects by a group of investors with regards of multi-factors.- 9-Dimensions Optimization Task: PBO-Nature-Inspired Optimizer versus 10-years-old Differential Evolution Based Optimizer 3rd Generation EPSDE.- Energy consumption reduction in real time multiprocessor embedded systems with uncertain data.- Developing an Efficient Method for Automatic Threshold Detection based on Hybrid Feature Selection Approach.- Comparison of Hybrid ACO-k-means algorithm and Graph cut for MRI images segmentation.- Parallel deep neural network for motor imagery EEG recognition with spatiotemporal features.- Using of Simple Genetic Algorithm for A Hand Contour Classification.- Bio-inspired Collaborative and Content Filtering Method for Online Recommendation Assistant Systems.- COMPUTER-BASED SUPPORT FOR SEARCHING RATIONAL STRATEGIES FOR INVESTORS IN CASE OF INSUFFICIENT INFORMATION ON THE CONDITION OF THE COUNTERPARTY.
Описание: This book is a selected collection of 54 peer-reviewed original scientific research papers of the 5th International Conference on Green Technology and Sustainable Development (GTSD2020) organised in Vietnam in 2020.
Описание: This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.*The 70 full papers presented were carefully reviewed and selected from 314 submissions. computational collective intelligence and natural language processing;
Описание: This book constitutes the proceedings of the 14th International Conference on Computational Processing of the Portuguese Language, PROPOR 2020, held in Evora, Portugal, in March 2020. The 36 full papers presented together with 5 short papers were carefully reviewed and selected from 70 submissions. natural language processing applications;
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