DTCDWT-SMOTE-XGBoost-Based Islanding Detection for Distributed Generation Systems: An Approach of Class-Imbalanced Issue
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2021.3086298
Abstract: This article offers an islanding detection approach based on dual-tree complex discrete wavelet transform (DTCDWT) and extreme gradient boosting method (XGBoost). Initially, the DTCDWT is used to extract the feature vector from collected negative sequence… read more here.
Keywords: islanding detection; xgboost based; dtcdwt smote; detection ... See more keywords
An XGBoost-Based Fitted Q Iteration for Finding the Optimal STI Strategies for HIV Patients.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3176204
Abstract: The computational algorithm proposed in this article is an important step toward the development of computational tools that could help guide clinicians to personalize the management of human immunodeficiency virus (HIV) infection. In this article,… read more here.
Keywords: xgboost based; based fitted; iteration algorithm; fitted iteration ... See more keywords
iBLP: An XGBoost-Based Predictor for Identifying Bioluminescent Proteins
Sign Up to like & getrecommendations! Published in 2021 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2021/6664362
Abstract: Bioluminescent proteins (BLPs) are a class of proteins that widely distributed in many living organisms with various mechanisms of light emission including bioluminescence and chemiluminescence from luminous organisms. Bioluminescence has been commonly used in various… read more here.
Keywords: xgboost based; iblp xgboost; bioluminescent proteins; predictor ... See more keywords
XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke
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DOI: 10.3390/diagnostics13050842
Abstract: An all-inclusive and accurate prediction of outcomes for patients with acute ischemic stroke (AIS) is crucial for clinical decision-making. This study developed extreme gradient boosting (XGBoost)-based models using three simple factors—age, fasting glucose, and National… read more here.
Keywords: xgboost based; acute ischemic; ischemic stroke; model ... See more keywords