- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
This book constitutes the refereed proceedings of the 9th International Symposium Conference on Artificial Intelligence and Robotics, ISAIR 2024, in Guilin, China, in September 27-30, 2024.
The 61 full papers presented were carefully reviewed and selected from a total of 164 submissions. The ISAIR 2024 focuses on three important areas of pattern recognition: artificial intelligence, robotics and Internet of Things, covering various technical aspects.
Contents
.- Segmentation of Crack Disaster Images Based on Deep Learning Neural Network Method.
.- Numerical Calculation and Identification of 3D Time-Invariant Freak Waves based on JONSWAP Spectrum and Donelan Direction Function.
.- Enhanced Computing for Marine Disaster Based on the Prior Dark Channel Scenes, Precise Depth Estimation and Channel-Dependent Compensation Method.
.- Semi-supervised learning-based Passive Visible Light Positioning using Solar Irradiation.
.- Multi-teacher Knowledge Distillation via Student's Reflection.
.- Construction and Application of Protein-Protein Interaction Knowledge Graph.
.- A learning-based monitoring system for factory assembly behavior.
.- A Two-stage Generative Adversarial Approach for Domain Adaptive Semantic Segmentation.
.- LCRNet: Unsupervised Non-Rigid Point Cloud Registration Network Based on Local Correspondence Relationships.
.- Point Cloud Completion via Trigonometric Encoding and Self-attention based Feature Fusion.
.- Research progress of exploring intelligent rehabilitation technology based on human-computer interaction.
.- Spectral Graph Neural Network: A Bibliometrics Study and Visualization Analysis via CiteSpace.
.- H2L: High-Performance Multi-Agent Path Finding in High-Obstacle-Density and Large-Size Maps.
.- Stereo Image Super-resolution Reconstruction Based on Disparity Estimation and Domain Diffusion.
.- Virtual Reality-based Medical Rehabilitation Assistance System.
.- IPSTT: Intention-based Transformer for Multivariate Time Series Forecasting.
.- A Segmentation-based Approach for Lung Disease Classification Using Chest X-ray Images.
.- Dual-Stream Based Scene Text Manipulation Detection Method.
.- ECD: Event-Centric Disentangler for Weakly Supervised Video Anomaly Detection.
.- Sequential Consistency Matters: Boosting Video Sequence Verification with Teacher Multimodal Transformer.
.- A Violent Language Detection Model Based on Short Text.
.- Underground Temperature Prediction Based on LSTM Neural Network and Embedded System Reasoning.
.- PointPET: A Novel Network for 6D Pose Estimation of Industrial Components using Smart Data Driven Modeling.
.- PD-SLAM:A visual SLAM for Dynamic Environments.
.- The Requirements and Constraints of Self-built Data Set on Detection Transformer in Complex Scenario.
.- Self-supervised Contrastive Learning With Similarity-based Sample Judgment.
.- A combined model based on the signal decomposition method, optimization method, and machine learning for wind speed predicting.
.- Improved YOLOv8 Modeling for Earth Observation.
.- Semantic Guided Multi-feature Awared Network for Self-supervised Learning.
