Titlebook: Artificial Intelligence and Robotics; 8th International Sy Huimin Lu,Jintong Cai Conference proceedings 2024 The Editor(s) (if applicable)

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Condition Monitoring of Wind Turbine Anemometers Based on Combined Model Deep Learning,rk to acquire efficient anemometer state estimation. This method can monitor the abnormal state of the anemometer and reconstruct the faulty wind speed data. Finally, to demonstrate the efficiency of the approach, the condition of the WT anemometer is predicted using examples.

魔鬼在游行

DDTM: A Distance-Based Data Transformation Method for Time Series Classification,e the influence of class division by calculating the average distance under various windows and measure the efficiency of window position for class division using information gain. Finally, transform the series according to the information gain. The research shows that the proposed DDTM method achieves superior classification results.

Indent

Human Related Information Extraction from Chinese Archive Images,imulates certificate photo files. We then used a YOLOv5-based object detection network to train a model that can detect document photos in archive images. We also used a combination of PP-OCR text recognition and object detection to extract key information from document images.

Breach

Synovial-Fluid

Improved GR-Convnet for Antipodal Robotic Grasping,hold objects. As a result, we achieved an approximately 7.2% improvement in accuracy compared to GR-Convnet. Additionally, using a real robot, we demonstrated a grasp success rate of 93.3% and 92.5% for household and adversarial objects, respectively.

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Blazon

Conflict

仔細(xì)閱讀

Presbycusis

https://doi.org/10.1007/978-3-642-56224-2tation. The FDM is also presented to adjust the local contour for interactive segmentation. Our experimental results show that the proposed method outperforms the state-of-the-art segmentation methods on the PROMISE12 and our in-house nasopharyngeal carcinoma (NPC) datasets.