Intelligent Networked Things (eBook, PDF)

The 6th Conference on Intelligent Networked Things, CINT 2024, Xi'an, China, May 18, 2024, Proceedings, Part II
Redaktion: Zhang, Lin; Liu, Yongkui; Laili, Yuanjun; Wang, Quan; Yu, Wensheng

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the The 6th Conference on Intelligent Networked Things on Intelligent Networked Things, CINT 2024, held in Xi'an, China, in May 18, 2024.

The 51 full papers presented were carefully reviewed and selected from 151 submissions. The conference papers are organized in topical sections on:

Part I - Theories and Mathematical Methods for Intelligent Networked Things; Modeling and Simulation in Intelligent Networked Things.

Part II - Artificial Intelligence for Intelligent Networked Things; Optimization and Decision in Intelligent Networked Things.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 283
• Erscheinungstermin: 9. Juli 2024
• Englisch
• ISBN-13: 9789819739486
• Artikelnr.: 72241587

Inhaltsangabe

.- Artificial Intelligence for Intelligent Networked Things.

.- Application of improved ResNet18 based neural network for non-invasive blood glucose testing.

.- iKnowiSee:AR Glasses with Language Learning Translation System and Identity Recognition System built based on Large Pre-Trained Models of Language and Vision and Internet of Things Technology.

.- HM-W2V:Word Embeddings from Hippocampus Spiking Neural Network.

.- Multi-target Intelligent Detecting Method Of Support Structure Defects Based On Digital Image Processing Technology.

.- Design of calculation algorithm for edge straight line accuracy of metal plate based on point cloud data.

.- Fault diagnosis of rolling bearings based on SVM and improved D-S evidence theory for multi-sensor fusion.

.- mmWave Radar Point Cloud Based Pose Estimation with Residual Blocks for Rehabilitation Exercise.

.- Enhancing Repetitive Action Counting Through Hierarchical Transformer-Based Radar-Vision Fusion.

.- Realizing Human Pose Estimation Based On Deep Kalman Filtering.

.- A Multi-Scale Feature Fusion Method for Demand Forecasting in Supply Chain Management.

.- Process Fault Diagnosis Based on Moving Window KECA and Random Forest.

.- Intelligent monitoring method for gear grinding machine spindle based on multi-source information fusion.

.- Research on Improving ResNet18 for Classifying Complex Images Based on Attention Mechanism.

.- A Framework for Automated Generation of Transmission Processes Based on Kinetic Knowledge Mapping.

.- Optimization and Decision in Intelligent Networked Things.

.- Intelligent Optimization Methods for Unmanned Cluster Delivery Support Task Allocation.

.- Knowledge-Specific Reinforcement Learning for Job-Shop Scheduling with Dynamic Processing States in Disassembly Factory.

.- Implementation of real-time robot monitoring and scheduling platform in cloud manufacturing environment.

.- Multi-mission UAV trajectory planning in Smart Agriculture with polarization learning model-driven by Harris Hawks Optimizer.

.- Optimal deception attacks on remote state estimation with heterogeneous vulnerabilities.

.- An effective method for extracting PV model parameters utilizing the Red-tailed hawk optimization algorithm

.- Research on Optimization Method of Ship Spare Parts Allocation Based on Improved Discrete Crow Search Algorithm.

.- Novel Augmented Tuna Swarm Optimization Algorithm for Mobile Robot Path Planning.

.- An Adaptive Fuzzy Quantum Behavior Particle Swarm Optimization Algorithm for Mobile Charging Scheduling in Wireless Rechargeable Sensor Networks.

.- Scheduling of Customized Tasks in Cloud Manufacturing with Deep Reinforcement Learning.

.- Strategy for Dependent Tasks under Vehicle Formation Assistance.

.- Harris Hawk optimized interactive multi-model target tracking method using particle filtering.