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Intelligent Networked Things: 5th China Conference, CINT 2022, Urumqi, China, August 7-8, 2022, Revised Selected Papers

ISBN-13: 9789811989148 / Angielski / Miękka / 2023 / 559 str.

Lin Zhang; Wensheng Yu; Haijun Jiang
Intelligent Networked Things: 5th China Conference, CINT 2022, Urumqi, China, August 7-8, 2022, Revised Selected Papers Lin Zhang Wensheng Yu Haijun Jiang 9789811989148 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Intelligent Networked Things: 5th China Conference, CINT 2022, Urumqi, China, August 7-8, 2022, Revised Selected Papers

ISBN-13: 9789811989148 / Angielski / Miękka / 2023 / 559 str.

Lin Zhang; Wensheng Yu; Haijun Jiang
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This book constitutes the refereed proceedings of the 5th China Conference on Intelligent Networked Things, CINT 2022, held in Urumqi, China, during August 7-8, 2022.The 45 full papers included in this book were carefully reviewed and selected from 130 submissions. They were organized in topical sections as follows: Access, Perception, and Prediction in Intelligent Networked Things, Control of Intelligent Networked Things and Modeling, Simulation and Optimization of Intelligent Networked Things.

This book constitutes the refereed proceedings of the 5th China Conference on Intelligent Networked Things, CINT 2022, held in Urumqi, China, during August 7-8, 2022. 


The 45 full papers included in this book were carefully reviewed and selected from 130 submissions. They were organized in topical sections as follows: Access, Perception, and Prediction in Intelligent Networked Things, Control of Intelligent Networked Things and Modeling, Simulation and Optimization of Intelligent Networked Things.

Kategorie:
Informatyka, Bazy danych
Kategorie BISAC:
Computers > Artificial Intelligence - General
Technology & Engineering > Telecommunications
Computers > Networking - General
Wydawca:
Springer
Seria wydawnicza:
Communications in Computer and Information Science
Język:
Angielski
ISBN-13:
9789811989148
Rok wydania:
2023
Dostępne języki:
Numer serii:
000354756
Ilość stron:
559
Oprawa:
Miękka
Dodatkowe informacje:
Wydanie ilustrowane

Access, Perception, and Prediction in Intelligent Networked Things.- Prediction of the Melt Pool Size in Single-layer Single-channel Selective Laser Melting Based on Neural Network.- Implementation of Underwater Vehicle Pipeline Inspection Based on Machine Vision.- Underwater Target Tracking Algorithm Based on Optical Flow.- Risk Monitoring Data Upload System for Safety Production of Hazardous Chemicals.- Joint Feature Fusion Approach to Human Pose Estimation Using mmWave Rader.- Question Answering Based On Entity-aware Self-attention.- TGNN:A GNN-based Method with Multi-Entity Node for Personal Banking Time Prediction.- Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting.- Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon.- A Sentiment Analysis Model for Car Review Texts Based On Adversarial Training and Whole Word Mask BERT.- Bi-Convolution Matrix Factorization Algorithm Based On Improved ConvMF.- A Novel Defect Detection Method for Insulators of Power Transmission Line Based on YOLOv5.- Multi-Objective Optimization Based Viscosity Prediction for Inks in Direct Ink Writing Numerical Simulations.- A Meta-Learning-Based Object Detection Method for Custom Grasping in Human-Robot Collaboration.- A knowledge-Embedding-Based Approach for Process-Decision Knowledge Mining.- A Knowledge Content Matching Degree Calculation Method Supporting Process Knowledge Recommendation.- Control of Intelligent Networked Things.- Fault-tolerant Control for Underwater Vehicle with Actuator Saturation and Faults.- Event-Triggered Kernel Recursive Least Squares Algorithm.- Distributed Fault-Tolerant Formation Control of Nonholonomic Mobile Robots with SSA Parameter Optimization.- Set-Membership Estimation for Nonlinear Parameter-Varying Systems.- Adaptive Synchronization of Fractional-Order Multiplex Networks via Quantized Control.- Synchronization in Fixed/Preassigned time of Inertial Neural Networks with Time-varying Delay.- A Deep Reinforcement Learning Based Leader-Follower Control Policy for Swarm Systems.- Research on the Key Technology of Digital Twin-driven Fracture Reduction Robot Force Control.- A Data-driven Feedforward Control Design Method for Nonlinear Systems.- Tracking Error Boundary of Novel Stable Inversion Based Feedforward Control for a Class of Non-minimum Phase Systems.- Modeling, Simulation and Optimization of Intelligent Networked Things.- Resource Scheduling Algorithm for Heterogeneous High-Performance Clusters.- ieSTGCN:A Mining Model of Skeleton Spatio-temporal Graph.- Deep Recurrent Q-Network for Cloud Manufacturing Scheduling Problems.- Fixed-Time Bipartite Consensus for Multi-agent Systems Subjected to External Disturbances.- Study on Method of Extraction and Clustering of Model Construction Style.- Evaluation of Motion Planning Algorithms for Underground Mobile Robots.- Optimization of Ethanol Fermentation Based on Design of Dynamic Experiments.- Uncertain Economic order Quantity Model for Perishable Items with Shelf Life.- Distributed Processing of Continuous Range Queries over Moving Objects.- Scaled Consensus of Switched Multi-agent Systems with Controller Failure and Time-Varying Delay.- Resilient Event-Triggered Distributed Resource Allocation for Multi-Agent Systems under DoS Attacks.- A Method and Implementation of Automatic Requirement Tracking and Verification for Complex Products Based On X Language.- Global Mittag-Leffler Stability of Fractional-Order Inertial Complex-Valued Neural Networks.- Distributed Fixed-Time Consensus and Optimization for Second-Order Multi-Agent Systems.- Emergency Evacuation Route Planning of Cruise Ship Based on Intelligent Optimization Algorithm.- Model Library System Based on Multi-Domain Simulation Model Integration Interface.- Multi-Agent Path Finding Algorithm of Merged Node Rule and Bounded Focal Search.- Dynamic Scheduling Method of Multi-objective Job Shop Based on Reinforcement Learning.- A Runtime Verification Tool for Distributed Simulation Systems.



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