E-grāmata: Intelligent Networked Things: The 6th Conference on Intelligent Networked Things, CINT 2024, Xi'an, China, May 18, 2024, Proceedings, Part II

.- 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.