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Akademický článek

Research progress of lithium-ion batteries thick-electrode architectural design

Autor: HE Renjie, LI Shuping, WANG Xumin, YU Chuang, CHENG Shijie, XIE Jia

Publikováno v: Cailiao gongcheng, Vol 50, Iss 10, Pp 38-54 (2022)

To meet the requirements of high energy density and fast charge for energy storage systems and electric vehicles, the high-energy and high-power density lithium-ion batteries have attracted numerous attentions.Designing thick-electrode can significan

Externí odkaz: https://doaj.org/article/5ac9dca52384476684bd9447feb7c8c0

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LoFLAT: Local Feature Matching using Focused Linear Attention Transformer

Autor: Cao, Naijian, He, Renjie, Dai, Yuchao, He, Mingyi

Local feature matching is an essential technique in image matching and plays a critical role in a wide range of vision-based applications. However, existing Transformer-based detector-free local feature matching methods encounter challenges due to th

Externí odkaz: http://arxiv.org/abs/2410.22710

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Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

Autor: Wahid, Kareem A., Cardenas, Carlos E., Marquez, Barbara, Netherton, Tucker J., Kann, Benjamin H., Court, Laurence E., He, Renjie, Naser, Mohamed A., Moreno, Amy C., Fuller, Clifton D., Fuentes, David

Deep learning has significantly advanced the potential for automated contouring in radiotherapy planning. In this manuscript, guided by contemporary literature, we underscore three key insights: (1) High-quality training data is essential for auto-co

Externí odkaz: http://arxiv.org/abs/2310.10867

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