有限
发表于 2025-3-25 06:42:22
Operational Environment for the HDSLr Motor Current Signal (MCS) is also gaining popularity. This paper uses MCS for the diagnosis of bearing inner raceway and outer raceway fault. Diagnosis using MCS is difficult as the fault signatures are buried beneath the noise in the current signal. Hence, signal-processing techniques are employ
FUSC
发表于 2025-3-25 10:12:27
https://doi.org/10.1007/978-1-4615-6291-7r panel arrays from satellite imagery. The networks are tested on real data and augmented data. Results indicate that deep learning segmentation networks work well for automatic solar panel detection from high-resolution orthoimagery.
树胶
发表于 2025-3-25 13:46:24
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胶状
发表于 2025-3-25 16:37:38
José Daniel García-Castro,Josefa Mulaing techniques are the typically used for analyzing past observations and to predict the future occurrences of events in a given RF environment. Machine learning (ML) techniques, having already proven useful in various domains, are also being sought for characterizing and understanding the RF enviro
类人猿
发表于 2025-3-25 23:26:37
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intention
发表于 2025-3-26 03:16:39
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Benign
发表于 2025-3-26 06:23:20
H. Kayapinar,H.-C. Möhring,B. Denkena Several deep learning algorithms have been employed to learn the error drift for a better positioning prediction. We therefore investigate in this chapter the performance of Long Short-Term Memory (LSTM), Input Delay Neural Network (IDNN), Multi-Layer Neural Network (MLNN) and Kalman Filter (KF) fo
治愈
发表于 2025-3-26 09:09:40
Wear Behavior in Microactuator Interfacesd training data from the computer vision and medical imaging domains demonstrate performance competitive to state-of-the-art semi-supervised models in simultaneous image generation and classification tasks.
高歌
发表于 2025-3-26 13:05:26
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uveitis
发表于 2025-3-26 17:38:43
Deep Learning-Based Recommender Systems,inent parts of information in order to make better recommendations. The learned features are then incorporated into the learning process of MF. Comprehensive experiments on three real-world datasets have shown our method performs better than other state-of-the-art methods according to various evalua