Titlebook: Intelligent Networked Things; The 6th Conference o Lin Zhang,Wensheng Yu,Yongkui Liu Conference proceedings 2024 The Editor(s) (if applicab

苍白

未完成

险代理人

撤退

Application of Improved ResNet18 Based Neural Network for Non-invasive Blood Glucose Testinges greater stability but also superior performance, with a Root Mean Square Error and The absolute mean value of the error of 0.86 and 0.73, respectively. According to the Clarke Error Grid analysis, the results of our model solution fall within the acceptable range for clinical trials, indicating good potential for clinical application.

Colonoscopy

Enhancing Repetitive Action Counting Through Hierarchical Transformer-Based Radar-Vision Fusionl motion sensing but also significantly improves learning action features from videos. Our experimental results confirm the effectiveness of our proposed method in enhancing repetitive action counting.

phlegm

Knowledge-Specific Reinforcement Learning for Job-Shop Scheduling with Dynamic Processing States in ction to improve job-shop scheduling collaboratively. We conducted experiments in a disassembly factory layout compared to rule-based scheduling methods. The experiments showed our method had superior performance in the disassembly machine utilization rate.

Schlemms-Canal

柱廊

BAIT

mmWave Radar Point Cloud Based Pose Estimation with Residual Blocks for Rehabilitation Exercisens after each convolutional layer to ensure continuous information flow. This method improves learning from radar data, aiding in capturing both global and local pose details. Experiments on an open-source mm-wave radar dataset confirm our method’s effectiveness, with an average localization error of 6.37 cm.

关节炎

Realizing Human Pose Estimation Based on Deep Kalman Filteringtroduces the application of transformer networks to compute inter-joint constraints and obtain accurate joint coordinates and velocities. Experimental evaluations validate the effectiveness of the proposed approach, demonstrating significant improvements in pose estimation precision and tracking accuracy compared to traditional methods.