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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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Mathematics, 2022 The battery management system in an electric vehicle must be reliable and durable to forecast the state of charge. Considering that battery degradation is generally nonlinear, state of charge (SOC) estimation with lower degradation can be challenging ...
Sadiqa Jafari +3 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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Prediction Models for Late-Onset Preeclampsia: A Study Based on Logistic Regression, Support Vector Machine, and Extreme Gradient Boosting Models [PDF]
BiomedicinesBackground: Preeclampsia, affecting 2–4% of pregnancies worldwide, poses a substantial risk to maternal health. Late-onset preeclampsia, in particular, has a high incidence among preeclampsia cases.
Yangyang Zhang +7 more
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Extreme Gradient Boosting Algorithm for Energy Optimization in buildings pertaining to HVAC plants [PDF]
EAI Endorsed Transactions on Energy Web, 2021 With the recent advancements in technology, energy is being consumed at a great pace in almost every region. Buildings are the biggest consumer of energy, almost 40% of total energy is being consumed by the buildings.
Monika Goyal, Mrinal Pandey
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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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Journal of Biostatistics and Epidemiology, 2023 Introduction: The present study discusses the importance of having a predictive method to determine the prognosis of patients with diseases like Covid-19.
Nadiasadat Taghavi Razavizadeh +4 more
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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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A meta-learning based stacked regression approach for customer lifetime value prediction
Journal of Economy and Technology, 2023 Companies across the globe are keen on targeting potential high-value customers in an attempt to expand revenue, and this could be achieved only by understanding the customers more.
Karan Gadgil +2 more
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Using machine learning to improve risk prediction in durable left ventricular assist devices.
PLoS ONE, 2021 Risk models have historically displayed only moderate predictive performance in estimating mortality risk in left ventricular assist device therapy. This study evaluated whether machine learning can improve risk prediction for left ventricular assist ...
Arman Kilic +4 more
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