Recent Advances in Sustainable Energy and Intelligent Systems: 7th International Conference on Life System Modeling and Simulation, LSMS 2021 and 7th, Li Kang, Coombs Tim, He Jinghan
Описание: Medical Imaging and Analysis Using Intelligence Computing.- Biomedical signal processing, imaging, visualization and surgical robotics.- Computational method in taxonomy study and neural dynamics.- Intelligent medical apparatus, clinical applications and intelligent design of biochips.
Описание: The three-volume set CCIS 1467, CCIS 1468, and CCIS 1469 constitutes the thoroughly refereed proceedings of the 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and of the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, held in Hangzhou, China, in October 2021.
Smart Energy Systems and Devices.- Operation and dispatch of distribution network with seawater desalination considering source-grid-load interaction index.- The Optimal Dispatching Strategy of Microgrid Group Based on Distributed Cooperative Architecture.- An Electric Power Emergency Repair System: Structure, Navigation, and Software Design.- Research on information interaction technology between multi-service application systems of power grid.- Impact Analysis of False Data Injection Attack on Smart Grid State Estimation under Random Packet Losses.- Research on home energy optimization strategy based on micro-sized combined heat and power.- Filter-Based Fault Diagnosis of Heat Exchangers.- Application of Logistic Regression in Identifying Power Empty Nested Users.- Study on the Modeling and Online SOC Estimation of the Aluminum Air Battery.- Modeling of Main Steam Temperature Using an Improved Fuzzy Particle Swarm Optimization Algorithm.- Research on Testing Method of Low Voltage IGBT Module Parameter.- Robust Stability of Single Phase PWM Rectifier Based on H∞ Loop Shaping.- State Identification of Three-Trans Towers' Bolts Based on Quadratic Wavelet Transform and KNN.- Torque Ripple Minimization of PMSM Drives With Multiple Reference Frame and DNN Based High-Fidelity Torque Model.- Intelligent Manufacturing and System.- Demand forecasting of a fused magnesia smelting process based on LSTM and FRA.- Bearing Fault Diagnosis Based on Variational Mode Decomposition and Modified CNN.- Analysis of Suspension Characteristics of a New High-Temperature Superconducting Magnetic Levitation Bearing Based on Frozen-image Model.- 3D Curve Planning Algorithm of Aircraft under Multiple Constraints.- A Real-time Dynamic Watermarking Detection Method of Networked Inverted Pendulum Servo Systems.- A Fast Hybrid Image Encryption Method for Networked Inverted Pendulum Visual Servo Control Systems.- A review on intelligent modelling of complex and large scale systems for unmanned underwater vehicles with uncertain disturbances.- Research on Connectivity Restoration of Multiple Failures in UAV Cooperative Reconnaissance System.- Improved Bundle Adjustment Based on ADMM.- Design and Implementation of High Performance Elliptic Curve Coprocessor based on Dual Finite Field.- Research on UAV Signal Recognition Technology Based on GRU Neural Network Model.- Comprehensive analysis for the effect of thermal barrier coating porosity on ultrasonic longitudinal wave velocity.- An Overview of Control Strategy and Trajectory Planning of Visual Servoing.- Intelligent Biology and Information System.- A Higher Order Prediction Model of Populus Simonii's Net Photosynthetic Rate Based on Improved Gradient Boosting Method.- Improving Metagenome Sequence Clustering Application Performance using Louvain Algorithm.- A Combined Method for Face and Helmet Detection in Intelligent Construction Site Application.- A Novel Approach of Human Tracking and Counting Using Overhead ToF Camera.- A Novel Text Personalized Analysis Model Based on BP Neural Network.- Dynamic Pedestrian Height Detection Based on TOF Camera.- Quantitative Regression Modeling of Cocoa Bean Con-tent Based on Gated Dilated Convolution Network.- A novel Hybrid Forecasting Model based on Time Series.- Research on Adaptive Adjustment Algorithm of Isolated Word State Number Based on ANN-HMM Mixed Model.- An SEIR Model for Assessment of COVID-19 Pandemic Situation.- A Regression model for short-Term COVID-19 pandemic assessment.
Описание: This book constitutes the proceedings of the 21st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 full papers presented in this volume were carefully reviewed and selected from 45 submissions. The papers are organized in topics as follows: simulation and design space exploration; the 3Cs - Cache, Cluster and Cloud; heterogeneous SoC; novel CPU architectures and applications; dataflow; innovative architectures and tools for security; next generation computing; insights from negative results.
Описание: This book constitutes the refereed proceedings of the 7th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2021, held in Hanoi, Vietnam, in April 2021. The 39 full papers were selected from XX submissions and are organized thematically in tracks on telecommunications systems and networks;
Описание: This book constitutes the refereed proceedings of the 20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020, held in Samos, Greece, in July 2020.*The 16 regular papers presented were carefully reviewed and selected from 35 submissions.
Описание: This volume constitutes the proceedings of the 19th Asia Simulation Conference, AsiaSim 2019, held in Singapore, Singapore, in October 2019.
The 19 revised full papers and 5 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on simulation and modeling methodology; numerical and Monte Carlo simulation; simulation applications: blockchain, deep learning and cloud; simulation and visualization; simulation applications; short papers.
Автор: Fausto Cavallaro Название: Assessment and Simulation Tools for Sustainable Energy Systems ISBN: 1447157966 ISBN-13(EAN): 9781447157960 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers both simulations using markal model and linear programming (LP) and methods and applications of multi-criteria, fuzzy-sets, algorithm genetics and neural nets (artificial intelligence) to energy systems.
Описание: This volume constitutes the refereed proceedings of the 7th International Conference on Modelling and Development of Intelligent Systems, MDIS 2020, held in Sibiu, Romania, in October 2020. intelligent systems for decision support; mathematical models for development of intelligent systems;
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2020, held in Prague, Czech Republic, in October 2020.*The 19 full papers included in the volume were carefully reviewed and selected from 26 submissions.
Описание: This book constitutes the refereed proceedings of the 17th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2021, held as a virtual event, in August 2021. The 15 full papers presented in this book were carefully reviewed and selected from 40 submissions.
Agent and Multi-Agent Systems, Planning and Reinforcement Learning.- A Conversational Agent to Support Hospital Bed Allocation.- A Protocol for Argumentation-based Persuasive Negotiation Dialogues.- Gradient Estimation in Model-Based Reinforcement Learning: a Study on Linear Quadratic Environments.- Intelligent Agents for Observation and Containment of Malicious Targets Organizations.- MAS4GC: Multi-Agent System for Glycemic Control of Intensive Care Unit Patients.- On the impact of MDP design for Reinforcement Learning agents in Resource Management.- Slot Sharing Mechanism in Multi-Domain Dialogue Systems.- Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization.- A Graph-based crossover and soft-repair operators for the Steiner Tree Problem.- A Modified NSGA-DO for Solving Multiobjective Optimization Problems.- An Enhanced TSP-based Approach for Active Debris Removal Mission Planning.- Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems.- Hyper-Heuristic based NSGA-III for the Many-Objective Quadratic Assignment Problem.- I2DE: Improved Interval Differential Evolution for Numerical Constrained Global Optimization.- Improving a genetic clustering approach with a CVI-based objective function.- Improving particle swarm optimization with self-adaptive parameters, rotational invariance, and diversity control.- Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator.- Lackadaisical quantum walk in the hypercube to search for multiple marked vertices.- On the Analysis of CGP Mutation Operators when Inferring Gene Regulatory Networks using scRNA-Seq Time Series Data.- Online selection of heuristic operators with Deep Q-Netowrk: a study on the HyFlex Framework.- Knowledge Representation, Logic and Fuzzy Systems.- A Systematic Approach to Define Semantics for Prioritised Logic Programs.- Active Learning and Case-Based Reasoning for the Deceptive Play in the Card Game of Truco.- ASPIC? and the Postulates of Non-Interference and Crash-Resistance.- On the Refinement of Compensation-based Semantics for Weighted Argumentation Frameworks.- Ontology based classification of electronic health records to support value-based health care.- Machine Learning and Data Mining.- A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data.- A Comparative Study on Concept Drift Detectors for Regression.- A Kullback-Leibler divergence-based locally linear embedding method: a novel parametric approach for cluster analysis.- Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes.- Coarsening Algorithm via Semi-Synchronous Label Propagation for Bipartite Networks.- Evaluating Clustering Meta-Features for Classifier Recommendation.- Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification.- Interpreting classification models using feature importance based on marginal local effects.- On the generalizations of the Choquet integral for application in FRBCs.- Optimizing Diffusion Rate and Label Reliability in a Graph-based Semi-supervised Classifier.- Tactical Asset Allocation through Random Walk on Stock Network.
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