Results 111 to 120 of about 751 (153)

考虑热带气旋下爬坡致因的风电功率爬坡直接预测

Gaoya dianqi
热带气旋引发的强风天气现象导致海上风电场输出功率变化异常，形成风电功率爬坡现象，严重威胁岸上主电网的安全运行。基于此，通过分析与构建考虑热带气旋典型气象因素的爬坡致因，提出了一种基于关键爬坡致因的海上风电爬坡事件预测方法。首先，分析了热带气旋条件下典型气象因素对风电功率及其爬坡的影响，构建了风电功率爬坡归因模型与爬坡致因关键特征。然后，基于爬坡致因关键特征，采用代价敏感逻辑回归模型、加权朴素贝叶斯模型和代价敏感随机森林模型，构建直接爬坡预测基础模型。最后，针对基础模型 ...
严佳丽, 任必兴, 陈思媛, 崔明建, 陈春宇   +4 more
doaj  

[Causal relationship between gut microbiota and T cell subsets in the development of colorectal cancer: a Mendelian randomization analysis]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Yu Z, Gao J, Sun H, Feng Q, Na X, Zhang N, Shen K, Wang Y, Wang X.   +8 more
europepmc   +1 more source

[A head direction cell model based on a spiking neural network with landmark-free calibration]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Yu N, Huang J, Lin K, Zhang Z.
europepmc   +1 more source

喀斯特地区安顺市土壤侵蚀时空变化特征及驱动因素

Shuitu Baochi Xuebao
目的探索西南喀斯特地区安顺市土壤侵蚀时空演变规律及土壤侵蚀主控因子，掌握该地区土壤侵蚀状况，有助于该地区石漠化治理和水土资源管理。方法采用优化后的RUSLE模型估算2005—2020年安顺市土壤侵蚀，同时，利用随机森林模型(RF)揭示土壤侵蚀的驱动因子，并估算驱动因子相互作用对2005—2020年安顺市土壤侵蚀的影响。结果1) 2005—2020年，安顺市低强度土壤侵蚀分布在中部、东南部和东部地区，高强度土壤侵蚀分布在北部和西南部地区。从时间上来看，安顺市土壤侵蚀整体上呈改善趋势 ...
吴文贤, 李渊, 刘子琦
doaj  

[Prediction of protein Kbhb sites based on learnable feature embedding]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Wei Z, Wang Z, Yu J, Deng C, Yu D.
europepmc   +1 more source

[Application Value of an AI-based Imaging Feature Parameter Model 
for Predicting the Malignancy of Part-solid Pulmonary Nodule]. [PDF]

Zhongguo Fei Ai Za Zhi
Lin M, Hui Y, Li B, Zhao P, Zheng Z, Yang Z, Su Z, Meng Y, Song T.   +8 more
europepmc   +1 more source

[The application of machine learning in the auxiliary diagnosis of specific learning disorder]. [PDF]

Zhongguo Dang Dai Er Ke Za Zhi
Zhao H, Mei SL, Wang JY, Chi X.
europepmc   +1 more source

[Research on type 2 diabetes prediction algorithm based on photoplethysmography]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Hu M, Wu Q, Cao Y, Cao J, Zhao Y, Zhang L, Liu X.   +6 more
europepmc   +1 more source

[Automatic detection and visualization of myocardial infarction in electrocardiograms based on an interpretable deep learning model]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Zhang Y, Zhang Y, Xie B, Lai D.
europepmc   +1 more source

[Multimodal Data-Driven Prediction of Gynecological Surgery Duration]. [PDF]

Sichuan Da Xue Xue Bao Yi Xue Ban
Huang Y, Yong Z, Wu B, Zhou X, Lang X, Li Y, Wang M, Shi Q, Rao L.   +8 more
europepmc   +1 more source