|
|
|
|
|
Yun-Wei Lin, Yuh-Hwan Liu, Yi-Bing Lin and Jian-Chang Hong
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in som...
ver más
|
|
|
|
|
|
|
|
|
|
|
Uma Rajasekaran, Mohanaprasad Kothandaraman and Chang Hong Pua
Significant water loss caused by pipeline leaks emphasizes the importance of effective pipeline leak detection and localization techniques to minimize water wastage. All of the state-of-the-art approaches use deep learning (DL) for leak detection and cro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gongbo Tashi, Haoshuang Zhan, Guangwei Xing, Xi Chang, Hong Zhang, Xioajun Nie and Wanquan Ji
-
|
|
|
|
|
|
|
|
|
|
|
Chang-Hong Fu; Yui-Lam Chan; Tak-Piu Ip; Wan-Chi Siu
Pág. 2169 - 2183
|
|
|
|
|
|