Results 201 to 210 of about 41,785 (303)

Determinants of tetanus toxoid immunization among pregnant women in Somaliland: evidence from the 2020 nationwide survey using a zero-inflated negative binomial model. [PDF]

AJOG Glob Rep
Yousuf HJ, Egeh MH, Farah AA, Hussein AA, Omer AA.   +4 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Investigating the Association Between Heatstroke Mortality and Climatic Factors in Bangladesh: An Ecological Time Series Study. [PDF]

Health Sci Rep
Miah MM, Pingki FH, Akhter S, Hasan M, Uddin M, Rahman R, Raihan TA, Rahaman MS.   +7 more
europepmc   +1 more source

Extending the Applicability of the Generalized Likelihood Function for Zero‐Inflated Data Series [PDF]

, 2018
Debora Y. Oliveira, Pedro L. B. Chaffe, João H. M. Sá   +2 more
core   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

High Patient Willingness to Grant Broad Consent for Real-World Data Use in Rheumatology-Implications for Real-World Data Platform Governance: Cross-Sectional Study. [PDF]

J Med Internet Res
Richter JG, Becker A, Filla T, Acar H, Ockert W, Kriauciunas D, Aggarwal E, Schröder M, Hansen R, Distler JH, Schneider M.   +10 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Recent advancements in integer-valued autoregressive models for count data time series: A comprehensive review. [PDF]

MethodsX
Serrao V, Poojari S, Kamath A.
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source