Results 51 to 60 of about 447 (169)

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

Cascade Forest-Based Model for Prediction of RNA Velocity

Molecules, 2022
In recent years, single-cell RNA sequencing technology (scRNA-seq) has developed rapidly and has been widely used in biological and medical research, such as in expression heterogeneity and transcriptome dynamics of single cells. The investigation of RNA
Zhiliang Zeng, Shouwei Zhao, Yu Peng, Xiang Hu, Zhixiang Yin   +4 more
doaj   +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

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

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

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

Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang, Lin Li, Long Cheng, Yujie Liu, Zhaoqing Liu, Jiangpeng Wu, Pengyi Zhang, Jiarui Wang, Dekui Zhang, Shuyan Li   +9 more
wiley   +1 more source

Low‐Dimensional Controls on Oceanic Basalt Geochemistry Revealed by Regression‐Based Machine Learning Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract The low dimensionality of basalt geochemical data has long been inferred but has not been quantitatively evaluated from the relationships among elemental contents. We developed regression‐based machine learning models and examined the relationships among elemental contents for basalts.
Satoshi Matsuno, Masaoki Uno, Atsushi Okamoto   +2 more
wiley   +1 more source

Meteorologically‐Informed Adaptive Conformal Prediction for Tropical Cyclone Intensity Forecasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Rapid intensification of tropical cyclones poses a great challenge due to their highly nonlinear dynamics and inherent uncertainties. Conventional statistical dynamics and artificial intelligence prediction models typically rely on static parameterization schemes, which limits their ability to capture the non‐stationary error structure in the ...
Xuepeng Chen, Jing‐Jia Luo, Qingqing Li, Fan Meng   +3 more
wiley   +1 more source