Results 11 to 20 of about 38,464 (255)
Complex Network Link Prediction Method Based on Topology Similarity and XGBoost [PDF]
Jisuanji kexue, 2021 In order to improve the performance of complex network link prediction,topology similarity and XGBoost algorithm are used to complete link prediction in complex network.According to the topological structure of complex network,the adjacency matrix is ...
GONG Zhui-fei, WEI Chuan-jia
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Clinical and Experimental Obstetrics & Gynecology, 2023 Background: To construct a predictive model for fetal growth restriction (FGR) in preeclampsia (PE) patients using extreme Gradient Boosting (XGBoost) algorithm.
Haijuan Li, Sumei Wang, Chunyu Zhan
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XGBOOST ALGORITHM FOR ORECASTING ELECTRICITY CONSUMPTION OF GERMANY
AURUM Journal of Engineering Systems and Architecture, 2023 Stability requires energy demand prediction. We train and test 24-hour German load forecasting models. ENTSO-E Transparency Platform data covered European energy generation, transmission, and consumption. It uses German load data instead of PJM data for the eastern US, adds holidays and lag features to the XGB model, and benchmarks with a linear model ...
Abdullahı Abdu IBRAHIM +1 more
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SOH Estimation of Li-ion Battery Based on XGBoost Algorithm
Zhejiang dianli, 2022 Due to the extremely complex electrochemical reactions inside the lithium-ion battery and the uncertainty of the external working environment， it is difficult to achieve an accurate estimation of SOH （state of health）.
FEI Chen +3 more
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Earthquake Location Forecasting In Map Using XGBOOST Algorithm [PDF]
Journal of Cognitive Human-Computer Interaction, 2023 Earthquake is one of the most threatening natural disasters which is caused due to the shaking of the earth’s surface. Common cause of earthquake is due to ground shaking, underground volcanic eruption.
R. Jeena +3 more
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Thyroid Disease Prediction Using XGBoost Algorithms
Journal of Mobile Multimedia, 2022 Nowadays, thyroid disease is increasing rapidly all over the world. Significantly, one out of ten people is affected by the thyroid in India. In recent years, many researchers have done various research works on thyroid disease detection. Therefore, the early stage of thyroid disease prediction is difficult to protect and avoid the worst health ...
Sankar Sennan +3 more
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A physical model for calculating cementing quality based on the XGboost algorithm
Open Physics, 2022 A physical model can be used to judge cementing quality to help drilling engineering. This article reports a physical model based on the XGboost algorithm to solve the cementing quality prediction problem of oil and gas wells. Through the physical model,
Xie Yuchen +4 more
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Improved IMM algorithm based on XGBoost
Journal of Physics: Conference Series, 2021 Abstract Based on Markov hypothesis, IMM uses multiple motion models to match the moving states of the target, and assumes the transfer probability of each model according to the prior knowledge, which has strong adaptability to tracking maneuvering target.
Da Li, Pei Zhang, Ruifang Li
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CLASSIFICATION OF STUDENT GRADUATION STATUS USING XGBOOST ALGORITHM
Barekeng, 2023 College is an optional final stage in formal education. At this time, universities are required to have good quality by utilizing all the resources they have. Therefore, efforts are needed to help the faculty and study program make policies and decisions.
Maria Welita Dwinanda +2 more
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Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index
International Journal of Antennas and Propagation, 2021 Atmospheric refraction is a special meteorological phenomenon mainly caused by gas molecules and aerosol particles in the atmosphere, which can change the propagation direction of electromagnetic waves in the atmospheric environment.
Yanbo Mai +3 more
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