Artificial Intelligence and Robotics

9th International Symposium, ISAIR 2024, Guilin, China, September 27-30, 2024, Revised Selected Papers, Part I
Herausgegeben:Lu, Huimin

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Communications in Computer and Information Science 2402
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-2910-7
• Seitenzahl: 328
• Erscheinungstermin: 11. März 2025
• Englisch
• Abmessung: 235mm x 155mm x 18mm
• Gewicht: 499g
• ISBN-13: 9789819629107
• ISBN-10: 9819629101
• Artikelnr.: 72617069

Inhaltsangabe

.- 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.