Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Su, Yuqi"'
Autor:
Su, Yuqi, Fang, Xiaolei
Industrial prognostics aims to develop data-driven methods that leverage high-dimensional degradation signals from assets to predict their failure times. The success of these models largely depends on the availability of substantial historical data f
Externí odkaz:
http://arxiv.org/abs/2410.11101
Autor:
Jiao, Yuechun, Hu, Jinlian, Lan, Zitong, Zhang, Fusang, Xiong, Jie, Bai, Jingxu, Chang, Zhaoxin, Su, Yuqi, Jin, Beihong, Zhang, Daqing, Zhao, Jianming, Jia, Suotang
Recent years have witnessed the use of pervasive wireless signals (e.g., Wi-Fi, RFID, and mmWave) for sensing purposes. Due to its non-intrusive characteristic, wireless sensing plays an important role in various intelligent sensing applications. How
Externí odkaz:
http://arxiv.org/abs/2407.19656
In recent years, with the development of deep learning, electroencephalogram (EEG) classification networks have achieved certain progress. Transformer-based models can perform well in capturing long-term dependencies in EEG signals. However, their qu
Externí odkaz:
http://arxiv.org/abs/2407.20254
Electroencephalogram (EEG) classification has been widely used in various medical and engineering applications, where it is important for understanding brain function, diagnosing diseases, and assessing mental health conditions. However, the scarcity
Externí odkaz:
http://arxiv.org/abs/2407.20253
Autor:
Su, Yuqi, Fang, Xiaolei
Industrial prognostics focuses on utilizing degradation signals to forecast and continually update the residual useful life of complex engineering systems. However, existing prognostic models for systems with multiple failure modes face several chall
Externí odkaz:
http://arxiv.org/abs/2405.06068
Multilinear Principal Component Analysis (MPCA) is a widely utilized method for the dimension reduction of tensor data. However, the integration of MPCA into federated learning remains unexplored in existing research. To tackle this gap, this article
Externí odkaz:
http://arxiv.org/abs/2312.06050
Publikováno v:
In Energy 30 November 2024 310
Publikováno v:
In Clinical Therapeutics November 2024 46(11):900-904
Publikováno v:
In Fuel 1 November 2024 375
Autor:
Sun, Nanjie, Zhu, Tianbin, Su, Yuqi, Cheng, Yong, Wang, Zhiqiang, Wang, Heng, Li, Yawei, Hu, Feng, Xie, Zhipeng
Publikováno v:
In Journal of the European Ceramic Society November 2024 44(14)