Zobrazeno 1 - 10
of 5 725
pro vyhledávání: '"An, Pengchao"'
Autor:
Li, Xuebao, Li, Xuefeng, Zheng, Yanfang, Li, Ting, Yan, Pengchao, Ye, Hongwei, Zhang, Shunhuang, Wang, Xiaotian, Lv, Yongshang, Huang, Xusheng
The existing flare prediction primarily relies on photospheric magnetic field parameters from the entire active region (AR), such as Space-Weather HMI Activity Region Patches (SHARP) parameters. However, these parameters may not capture the details t
Externí odkaz:
http://arxiv.org/abs/2410.18562
With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV scheduling control strategies have been developed to manage vehicle-to-grid (V2G) in coordination w
Externí odkaz:
http://arxiv.org/abs/2409.19962
Deep Learning based Weather Prediction (DLWP) models have been improving rapidly over the last few years, surpassing state of the art numerical weather forecasts by significant margins. While much of the optimization effort is focused on training cur
Externí odkaz:
http://arxiv.org/abs/2408.06400
In recent years, biomedical event extraction has been dominated by complicated pipeline and joint methods, which need to be simplified. In addition, existing work has not effectively utilized trigger word information explicitly. Hence, we propose MLS
Externí odkaz:
http://arxiv.org/abs/2408.05545
Integrating an RGB camera into a ToF imaging system has become a significant technique for perceiving the real world. The RGB guided ToF imaging system is crucial to several applications, including face anti-spoofing, saliency detection, and trajecto
Externí odkaz:
http://arxiv.org/abs/2405.10357
Autor:
Zhang, Pengchao, Xu, Xuefei
The preference of water self-ions (hydronium and hydroxide) near air/oil-water interfaces is one of the hottest topics in water research due to its importance for understanding properties, phenomena, and reactions of interfaces. In this work, we perf
Externí odkaz:
http://arxiv.org/abs/2404.07027
Biomedical event extraction is an information extraction task to obtain events from biomedical text, whose targets include the type, the trigger, and the respective arguments involved in an event. Traditional biomedical event extraction usually adopt
Externí odkaz:
http://arxiv.org/abs/2403.12386
Split federated learning (SFL) is a recent distributed approach for collaborative model training among multiple clients. In SFL, a global model is typically split into two parts, where clients train one part in a parallel federated manner, and a main
Externí odkaz:
http://arxiv.org/abs/2402.15166
While providing machine learning model as a service to process users' inference requests, online applications can periodically upgrade the model utilizing newly collected data. Federated learning (FL) is beneficial for enabling the training of models
Externí odkaz:
http://arxiv.org/abs/2312.12863
Knowledge distillation (KD) can enable collaborative learning among distributed clients that have different model architectures and do not share their local data and model parameters with others. Each client updates its local model using the average
Externí odkaz:
http://arxiv.org/abs/2311.16584