Results 221 to 230 of about 48,097 (299)

Integrating Predictive Analytics into Hospital Automation: Comparative Evaluation of Prediction Models for Patient Monitor Demand in Operating Rooms. [PDF]

Bioengineering (Basel)
Yin S, Yu S, Liu Z, Jia B, Shi C, Xu Y, Tian Y, Luan X.   +7 more
europepmc   +1 more source

Group‐Specific Nonlinear Mixed Effects Models for Longitudinal Data With Realignment of Time

Statistics in Medicine, Volume 45, Issue 23-24, October 2026.
ABSTRACT We propose group‐specific nonlinear mixed effects models for longitudinal data whose indexing time is right‐aligned to specific events, modeled as the time preceding those events. These models are motivated by dementia cohort studies that examine nonlinear trajectories of longitudinal cognitive test scores in late life, with separate ...
Ziyue Liu, Sujuan Gao
wiley   +1 more source

Machine learning prediction model for the sewing thread consumption. [PDF]

PLoS One
Ahmad F, Qureshi SM, Younas A, Ramzan MB, Fareed G.   +4 more
europepmc   +1 more source

Modelling Healthy Operations of Generator Bearings in Wind Farms

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT This study investigates the consistency and impact of feature selection methods on deterministic and probabilistic normal behaviour models (NBMs) for estimating rear generator bearing temperature in wind farms using SCADA data. Rigorous NBM development enables the transfer of key features, enhances anomaly detection comparability and ...
Daragh O'Connnor, Vikram Pakrashi, Bidisha Ghosh   +2 more
wiley   +1 more source

Evaluation of respiratory disease hospitalisation forecasts using synthetic outbreak data. [PDF]

Commun Med (Lond)
Béchade G, Lundh T, Gerlee P.
europepmc   +1 more source

Multi‐Domain Linear Hybrid Semi‐Mechanism Modeling and Two‐Level Coordinated Control for a Cascade Dual‐Rotor Wind Turbine

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT For a newly emerging kind of cascade dual‐rotor wind turbine (CDR‐WT), the coordinated control of its front and rear rotor faces significant challenges. To solve this problem, a novel modeling and control design approach is presented in this paper.
Yang Hu, Kaishen Yuan, Haonan Wang, Maofeng Shao   +3 more
wiley   +1 more source

Raman Peaks Feature-Based Machine Learning for Raman Spectroscopy Quantification of Inorganic Pollutants. [PDF]

Sensors (Basel)
Nocera A, Raimondi M, Luciani L, Burattini L, Falaschetti L, Galassi R.   +5 more
europepmc   +1 more source

Mass‐Conserving LSTM With Dual States for Streamflow Prediction: Separating Quickflow and Slow Storage

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract We introduce a Mass‐Conserving Long Short‐Term Memory with Dual States (MC‐LSTM‐DS) with the intention of separating short‐ and long‐term memory for predicting streamflow. It enforces water balance through a new partition gate on precipitation.
Saurabh Toraskar, M. Niranjannaik, Abhilash Singh, Kumar Gaurav   +3 more
wiley   +1 more source

An Interpretable PK-Informed Hybrid Model for Voriconazole Exposure Prediction: Roles of CYP2C19 Genotype and Inflammation. [PDF]

Drug Des Devel Ther
Zhou Y, Yun Y, Chen S, Liu X, Liu H, Ren J, Lu M, Ling J, Yang X, Zhou Z, Osei JA, Soheili R, Zou J, Hu N.   +13 more
europepmc   +1 more source

Forecasting and Explaining Ethanol Price Through Shapley Additive Explanations: Evidence From Two Decades of Panel Agroeconomic Data in Brazil

GCB Bioenergy, Volume 18, Issue 10, October 2026.
Explainable AI reveals how biological feedstock quality, energy markets, and policy factors jointly shape ethanol price dynamics. Deep learning improves forecasting accuracy while identifying sugarcane quality (TRS), gasoline prices, taxation, and macroeconomic variables as key drivers in a major bioenergy system.
Marilaine Colnago, Lucas A. B. de Matos, José Nuno Fidalgo, Rogério G. Negri, Wallace Casaca   +4 more
wiley   +1 more source