Resultados de búsqueda - Panpan Hu
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SOC Estimation of Lithium-Ion Batteries Utilizing EIS Technology with SHAP–ASO–LightGBM por Panpan Hu, Chun Yin Li, Chi Chung Lee
Publicado 2025-07-01Accurate State of Charge (SOC) estimation is critical for optimizing the performance and longevity of lithium-ion batteries (LIBs), which are widely used in applications ranging from electric vehicles to renewable energy storage. Traditional SOC estimation methods, such as Coulomb counting and open-...
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Altered dynamic functional network connectivity patterns in Alzheimer’s disease: insights into neural dysfunction por Xuerui Pang, Xuerui Pang, Xuerui Pang, Yi Ji, Yi Ji, Yi Ji, Chenyang Hu, Chenyang Hu, Chenyang Hu, Yulong Dai, Yulong Dai, Yulong Dai, Panpan Hu, Panpan Hu, Panpan Hu, Panpan Hu, Xingqi Wu, Xingqi Wu, Xingqi Wu, Kai Wang, Kai Wang, Kai Wang, Kai Wang, Kai Wang
Publicado 2025-07-01BackgroundDynamic functional network connectivity (dFNC) assesses temporal fluctuations in functional connectivity (FC) during magnetic resonance imaging (MRI), capturing transient changes in neural activity. Investigating dFNC may provide valuable insights into the complex clinical manifestations o...
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Quantifying the Thermal and Energy Impacts of Urban Morphology Using Multi-Source Data: A Multi-Scale Study in Coastal High-Density Contexts por Chenhang Bian, Chi Chung Lee, Xi Chen, Chun Yin Li, Panpan Hu
Publicado 2025-06-01Urban thermal environments, characterized by the interplay between indoor and outdoor conditions, pose growing challenges in high-density coastal cities. This study proposes a multi-scale, integrative framework that couples a satellite-derived land surface temperature (LST) analysis with microscale...
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Balancing Solar Energy, Thermal Comfort, and Emissions: A Data-Driven Urban Morphology Optimization Approach por Chenhang Bian, Panpan Hu, Chun Yin Li, Chi Chung Lee, Xi Chen
Publicado 2025-06-01Urban morphology critically shapes environmental performance, yet few studies integrate multiple sustainability targets within a unified modeling framework for its design optimization. This study proposes a data-driven, multi-scale approach that combines parametric simulation, artificial neural netw...
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Changes in white matter predict efficacy of repetitive transcranial magnetic stimulation in Parkinson's disease por Jinying Han, Lingling Lv, Xin Chen, Mengqi Wang, Lili Hu, Fengbo Xing, Pingping Liu, Liuzhenxiong Yu, Ziye Zhao, Jinmei Sun, Tingting Liu, Jingjing Cheng, Minhao Zhu, Manman Gao, Gongjun Ji, Rong Ye, Kai Wang, Panpan Hu
Publicado 2025-08-01Background: The efficacy of continuous theta burst stimulation (cTBS) in Parkinson's disease (PD) exhibits considerable variability. Emerging evidence links changes in brain white matter (WM) activity to the onset and progression of PD, offering novel insights into its pathophysiology. Objectiv...
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