Results 31 to 40 of about 2,430,587 (138)

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, Volume 5, Issue 3, Page 933-955, September 2026.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P, k = σ h σ v, w =
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting

Journal of Forecasting, Volume 45, Issue 4, Page 1878-1889, July 2026.
ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang, Justin Deng, Lih‐Yuan Deng, Henry Horng‐Shing Lu   +3 more
wiley   +1 more source

Probabilistic resistance predictions of laterally restrained cellular steel beams by natural gradient boosting [PDF]

Accurate and reliable cellular steel beam resistance predictions are essential for economical and safe designs of steel-framed buildings with such beams.
Ferreira, F. P. V., Tsavdaridis, K., Degtyarev, V. V., Hicks, S.   +3 more
core   +1 more source

Glycemic Variability as a Predictor of Mortality in Sepsis Patients With Concurrent Persistent Inflammation, Immunosuppression, and Catabolism Syndrome

Immunity, Inflammation and Disease, Volume 14, Issue 3, March 2026.
ABSTRACT Background Sepsis is a life‐threatening condition caused by infection, which triggers dysregulated systemic inflammatory responses. Among sepsis patients, those who concurrently develop persistent inflammation, immunosuppression, and catabolism syndrome (PICS) have a significantly poorer prognosis.
Shuhang Wang, Li Liu, Bowen Li, Yancun Liu, Yanfen Chai   +4 more
wiley   +1 more source

Short-Term Direct Probability Prediction Model of Wind Power Based on Improved Natural Gradient Boosting

, 2020
Wind energy has been widely used in renewable energy systems. A probabilistic prediction that can provide uncertainty information is the key to solving this problem.
Binyuan Wu, Yonggang Li, Yue Wang
core   +1 more source

Revealing Brain Tumor Using Cross-Validated NGBoost Classifier: NG Boost Classifier

, 2020
Brain is the most complicated and delicate anatomical structure in human body. Statistics proves that, among various brain ailments, brain tumor is most fatal and in many cases they become carcinogenic.
Bandyopadhyay, Samir, Dutta, Shawni
core   +1 more source

Uncertainty‐Driven Ensemble Framework for Efficient Ultra‐Short‐Term Renewable Power Prediction

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
This paper proposes a disturbance‐based ensemble framework for ultra‐short‐term probabilistic forecasting of renewable generation. By combining a Swin Transformer backbone with a learnable perturbation mechanism, the model produces calibrated predictive intervals at high temporal resolution while greatly reducing computational cost. Experiments on real‐
Jinge Song, Jun Zhao, Chaoying Yang, Xiao Chang   +3 more
wiley   +1 more source

A Comparative Study of Machine Learning Approaches for Concrete Compressive Strength Prediction With SHAP and LIME Explanations

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Accurate prediction of the compressive strength of the concrete is crucial to optimize the mix design and construction quality and to save time and cost on experimental testing. In this study, three gradient boosting decision tree (GBDT) algorithms (extreme gradient boosting [XGBoost] light gradient boosting machine [LightGBM], category boosting ...
Saddam Hamada Ahneet Mohammed, Semaa Amer Ghanam, Qabas A. Hameed, Saif Saad Mohammed Khuder, Musaria Karim Mahmood, Muyasser Mohammed Jomaa’h, Pramita Mishra   +6 more
wiley   +1 more source

Friction torque prediction of tapered roller bearings under different assembly conditions based on XGBoost and SHAP

Advances in Mechanical Engineering
Friction torque serves as a critical metric for assessing the dynamic performance of tapered roller bearings (TRBs), influenced by factors such as input speed, temperature, preload force, radial load, and fit tolerance.
Guangjun Feng, Yunqing Zhang, Jinbao Zhang   +2 more
doaj   +1 more source

Enhancing flood susceptibility mapping through integration of nature-inspired metaheuristic algorithms and machine learning

Environmental Challenges
Floods represent a hazardous natural disaster, and their frequency is anticipated to rise because of climate change. The first step to create strategies for mitigation and minimize damage is to identify the distribution of flood susceptibility (FS ...
Mohammadreza Hassanvand, Aaron Carlo Zecchin, Graeme C Dandy   +2 more
doaj   +1 more source