Predicting energy use in construction using Extreme Gradient Boosting [PDF]
PeerJ Computer Science, 2023 Annual increases in global energy consumption are an unavoidable consequence of a growing global economy and population. Among different sectors, the construction industry consumes an average of 20.1% of the world’s total energy.
Jiaming Han, Kunxin Shu, Zhenyu Wang
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Bioactive molecule prediction using extreme gradient boosting [PDF]
Molecules, 2016 Following the explosive growth in chemical and biological data, the shift from traditional methods of drug discovery to computer-aided means has made data mining and machine learning methods integral parts of today's drug discovery process. In this paper,
Mustapha, I. B., Saeed, F.
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Wind Speed Forecasting Based on Extreme Gradient Boosting [PDF]
IEEE Access, 2020 As the integration of wind power into electrical energy network increasing, accurate forecast of wind speed becomes highly important in the case of large-scale wind power connected into the grid.
Ren Cai +5 more
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Diabetes Risk Prediction Using Extreme Gradient Boosting (XGBoost)
JOIN: Jurnal Online Informatika, 2022 One of the uses of medical data from diabetes patients is to produce models that can be used by medical personnel to predict and identify diabetes in patients.
Kartina Diah Kusuma Wardhani +1 more
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Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm [PDF]
Frontiers in Genetics, 2022 The exploration of DNA-binding proteins (DBPs) is an important aspect of studying biological life activities. Research on life activities requires the support of scientific research results on DBPs.
Ziye Zhao +4 more
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Genomic Selection for Cashmere Traits in Inner Mongolian Cashmere Goats Using Random Forest, Gradient Boosting Decision Tree, Extreme Gradient Boosting and Light Gradient Boosting Machine Methods [PDF]
AnimalsIn recent years, Machine Learning (ML) has garnered increasing attention for its applications in genomic prediction. ML effectively processes high-dimensional genomic data and establishes nonlinear models.
Jiaqi Liu +5 more
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Intelligent Systems with ApplicationsTree-based ensemble methods, such as Extreme Gradient Boosting (XGBoost) and Gradient Boosting models (GBM), are widely used for supervised learning due to their strong predictive capabilities.
Sherif Eneye Shuaib +2 more
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Railroad accident analysis using extreme gradient boosting [PDF]
Accident Analysis & Prevention, 2021 Railroads are critical to the economic health of a nation. Unfortunately, railroads lose hundreds of millions of dollars from accidents each year. Trends reveal that derailments consistently account for more than 70 % of the U.S. railroad industry's average annual accident cost.
Raj Bridgelall, Denver D. Tolliver
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Design of Automatic Tool for Diagnosis of Pneumonia Using Boosting Techniques [PDF]
Brazilian Archives of Biology and Technology, 2022 Covid-19 is today's pandemic disease and can cause the hospital crowded. Additionally, It affects the lungs and may cause pneumonia. The most popular technique for diagnosis of pneumonia is the evaluation of X-ray.
Seda Postalcioglu
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Prediction of Business Bankruptcy with the Help of Extreme Gradient Increase [PDF]
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, 2022 Financial institutions use business failure forecasting models to manage their investments. The accuracy of the forecast is an important factor in determining how much capital is needed to cover credit losses.
Catalin-Emanuel CIOBOTA +1 more
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