Results 201 to 210 of about 107,170 (285)

Estimation of the Weibull Distribution Parameters and Reliability Using Runge-Kutta Method based on Interval-Censored Data

, 2023
Maswadah M.
europepmc   +1 more source

Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim, Alba M. Franco‐Pereira, Rosa E. Lillo   +2 more
wiley   +1 more source

Integration Analysis of Bayesian and Machine Learning for Heterogeneity, Biomarkers, and Optimal Combination Regimens of Pucotenlimab in Solid Tumors

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT The efficacy of PD‐1 inhibitor pucotenlimab (HX008) in solid tumors exhibits heterogeneity. This study integrated data from 6 clinical trials (covering gastric/gastroesophageal junction cancer, triple‐negative breast cancer, melanoma, and dMMR/MSI‐H solid tumors) using Bayesian meta‐analysis, machine learning (optimal XGBoost AUC = 0.86), and ...
Yingge He, Changqing Gao, Shiyan Zhang, Yonghui Hao, Shuning He, Ke Peng, Liqi Li   +6 more
wiley   +1 more source

Properties, quantile regression, and application of bounded exponentiated Weibull distribution to COVID-19 data of mortality and survival rates. [PDF]

Sci Rep
Bashir S, Masood B, Al-Essa LA, Sanaullah A, Saleem I.   +4 more
europepmc   +1 more source

Endogenous Recovery of Fasting C‐Peptide Decreases Progression of Sudomotor Small‐Fibre Dysfunction in Adults With Diabetes: A Real‐World Cohort Study

Diabetes/Metabolism Research and Reviews, Volume 42, Issue 4, May 2026.
ABSTRACT Aims To determine whether recovery of fasting C‐peptide (ΔFCP) reduces deterioration in sudomotor small‐fibre function, whether a threshold exists, and whether associations are complication‐specific. Methods Retrospective real‐world cohort of 288 hospitalised adults with diabetes with repeated fasting C‐peptide and Sudoscan electrochemical ...
Qingyun Cai, Ting Xie, Hongjian Gong, Wenjie Zhang, Lixin Guo, Qi Pan   +5 more
wiley   +1 more source

Tensile Strength Statistics and Fracture Mechanism of Ultrahigh Molecular Weight Polyethylene Fibers: On the Weibull Distribution. [PDF]

ACS Omega
Ding J, Chen G, Huang W, Cheng J, Li T, Cheng C, Xu J.   +6 more
europepmc   +1 more source

A Comparative Study of iDNA and airDNA for Biodiversity Assessments in Tropical Forest Fragments

Environmental DNA, Volume 8, Issue 3, May–June 2026.
Comparing invertebrate‐derived DNA and airborne eDNA across fragmented tropical forests, we show that iDNA recovers higher vertebrate richness from fewer samples, while airDNA offers greater field reliability. Together, both methods capture functional diversity gradients, supporting a combined approach for agroforestry biodiversity monitoring ...
Buffy Smith, Jean Freddy Ranaivoarisoa, Jean‐Luc Raharison, Tojo Julio Andriamahefa, Pavlína Vacková, Angeliki Savvantoglou, Laura Weldon, Mark Steer   +7 more
wiley   +1 more source

Predicting the Effect of the Loading Rate on the Fracture Toughness of Hydraulic Asphalt Concrete Based on the Weibull Distribution. [PDF]

Materials (Basel)
He J, Ding X, Yang W, Yang H, Liu L.
europepmc   +1 more source

Salvage Value from Deterioration (SVD): A Three-Parameter Weibull Distribution Inventory Model Approach

, 2023
Ogundare OC, Onoja A.
europepmc   +1 more source

Opportunities for the U.S. Geological Survey's National Seismic Hazard Model to Improve Seismic Risk Assessment of Critical Infrastructure

Earthquake Spectra, Volume 42, Issue 2, May 2026.
As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used
Kishor S. Jaiswal, N. Simon Kwong
wiley   +1 more source