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Zhipeng Zhang, Shengquan Liu and Jianming Cheng
In recent years, large-scale pretrained language models have become widely used in natural language processing tasks. On this basis, prompt learning has achieved excellent performance in specific few-shot classification scenarios. The core idea of prompt...
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Haochen Qin, Xuexin Fan, Yaxiang Fan, Ruitian Wang, Qianyi Shang and Dong Zhang
Predicting the remaining useful life (RUL) of batteries can help users optimize battery management strategies for better usage planning. However, the RUL prediction accuracy of lithium-ion batteries will face challenges due to fewer data samples availabl...
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Yongjian Li, He Li, Dazhao Fan, Zhixin Li and Song Ji
Sea ice extraction and segmentation of remote sensing images is the basis for sea ice monitoring. Traditional image segmentation methods rely on manual sampling and require complex feature extraction. Deep-learning-based semantic segmentation methods hav...
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Ismail Mohsine, Ilias Kacimi, Vincent Valles, Marc Leblanc, Badr El Mahrad, Fabrice Dassonville, Nadia Kassou, Tarik Bouramtane, Shiny Abraham, Abdessamad Touiouine, Meryem Jabrane, Meryem Touzani, Abdoul Azize Barry, Suzanne Yameogo and Laurent Barbiero
In order to facilitate the monitoring of groundwater quality in France, the groundwater bodies (GWB) in the Provence-Alpes-Côte d?Azur region have been grouped into 11 homogeneous clusters on the basis of their physico-chemical and bacteriological charac...
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Fei Yan, Hui Zhang, Yaogen Li, Yongjia Yang and Yinping Liu
Raw image classification datasets generally maintain a long-tailed distribution in the real world. Standard classification algorithms face a substantial issue because many labels only relate to a few categories. The model learning processes will tend tow...
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Wenfeng Zheng, Xia Tian, Bo Yang, Shan Liu, Yueming Ding, Jiawei Tian and Lirong Yin
Learning information from a single or a few samples is called few-shot learning. This learning method will solve deep learning?s dependence on a large sample. Deep learning achieves few-shot learning through meta-learning: ?how to learn by using previous...
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Subramanyam Shashi Kumar and Prakash Ramachandran
Nowadays, healthcare is becoming very modern, and the support of Internet of Things (IoT) is inevitable in a personal healthcare system. A typical personal healthcare system acquires vital parameters from human users and stores them in a cloud platform f...
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