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Akademický článek

Theoretical line loss calculation method for low-voltage distribution network via matrix completion and ReliefF-CNN

Autor: Rirong Liu, Feng Pan, Yuyao Yang, Wenhui Hong, Qilin Li, Kaidong Lin, Siliang Liu

Publikováno v: Energy Reports, Vol 9, Iss , Pp 1908-1916 (2023)

Line loss is directly responsible for the management profitability of the grid company. The traditional method of calculating the theoretical line loss for Low Voltage Distribution Networks (LVDN) necessitates more electrical parameters. which cannot

Externí odkaz: https://doaj.org/article/4d0d9debeeca47d1807e5ef4793f2253

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Akademický článek

Multimodal data analysis reveals that pancreatobiliary-type ampullary adenocarcinoma resembles pancreatic adenocarcinoma and differs from cholangiocarcinoma

Autor: Jun Cheng, Yize Mao, Wenhui Hong, Wanming Hu, Peng Shu, Kun Huang, Jingjing Yu, Maofen Jiang, Liqin Li, Wei Wang, Dong Ni, Shengping Li

Publikováno v: Journal of Translational Medicine, Vol 20, Iss 1, Pp 1-13 (2022)

Abstract Background Ampullary adenocarcinoma (AAC) arises from the ampulla of Vater where the pancreatic duct and bile duct join and empty into the duodenum. It can be classified into intestinal and pancreatobiliary types based on histopathology or i

Externí odkaz: https://doaj.org/article/329244b3d92a4c979c50839b2ce54088

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Akademický článek

Computational Image Analysis Identifies Histopathological Image Features Associated With Somatic Mutations and Patient Survival in Gastric Adenocarcinoma

Autor: Jun Cheng, Yuting Liu, Wei Huang, Wenhui Hong, Lingling Wang, Xiaohui Zhan, Zhi Han, Dong Ni, Kun Huang, Jie Zhang

Publikováno v: Frontiers in Oncology, Vol 11 (2021)

Computational analysis of histopathological images can identify sub-visual objective image features that may not be visually distinguishable by human eyes, and hence provides better modeling of disease phenotypes. This study aims to investigate wheth

Externí odkaz: https://doaj.org/article/1f6198c9c55d47a092bbbcb6c462d44e

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Differentiation between immune checkpoint inhibitor‐related and radiation pneumonitis in lung cancer by CT radiomics and machine learning

Autor: Jun Cheng, Yi Pan, Wei Huang, Kun Huang, Yanhai Cui, Wenhui Hong, Lingling Wang, Dong Ni, Peixin Tan

Publikováno v: Medical Physics. 49:1547-1558

Consolidation immunotherapy after completion of chemoradiotherapy has become the standard of care for unresectable locally advanced non-small cell lung cancer and can induce potentially severe and life-threatening adverse events, including both immun

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16503e887b0b7d80d6772de3c06ec294
https://doi.org/10.1002/mp.15451

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HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images

Autor: Jikuan Qian, Rui Li, Xin Yang, Yuhao Huang, Mingyuan Luo, Zehui Lin, Wenhui Hong, Ruobing Huang, Haining Fan, Dong Ni, Jun Cheng

Different from handcrafted features, deep neural networks can automatically learn task-specific features from data. Due to this data-driven nature, they have achieved remarkable success in various areas. However, manual design and selection of suitab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62c0bbf43da2b211b8c5cd510234b682

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Power Quality Disturbance Recognition Based on Wavelet Transform and Convolutional Neural Network

Autor: Xuyan Wu, Wenhui Hong, Ziwen Liu

Publikováno v: 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA).

Power quality (PQ) interference has caused many adverse effects on industry and life. In order to improve the accuracy of power quality disturbance identification, a hybrid detection method based on wavelet transform and convolutional neural network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb88e0a0ad5e9fe6653b9d8326149814
https://doi.org/10.1109/icaica52286.2021.9498060

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Power Quality Indices Online Prediction Based on VMD-LSTM Residual Analysis

Autor: Da Xu, Xiaoyuan Hu, Wenhui Hong, Mengshi Li, Ziming Chen

Publikováno v: Journal of Physics: Conference Series. 2290:012009

In order to ensure the provision of high-quality power quality and the smooth operation of the power system, aiming at the problem of low prediction accuracy of power quality indices, this paper proposes an online prediction method of power quality i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6014f0e0f98fb1762609cf0126ea95d
https://doi.org/10.1088/1742-6596/2290/1/012009

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Credibility Evaluation of the Phase Identification Algorithm Based on Data Analysis in LVDN

Autor: Yongjun Zhang, Wenhui Hong, Thanhtung Ha, Kun Li

Publikováno v: 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES).

In the low-voltage distribution network, it’s hard to know the identification accuracy of the phase identification algorithm. To solve this problem, this paper proposes a credibility evaluation method which can assess the results of phase identific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9881fd69a924432e5d8435d22ea7564e
https://doi.org/10.1109/spies48661.2020.9243101

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