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Hossain, E. , Tahia, F. , Siemens, A. , Islam, M. , Rahman, Z. and Ahmad, I. (2025) Spatiotemporal Dynamics of Land Use ...
AI integration in materials testing accelerates evaluations, improves accuracy, and enables predictive quality assurance, ...
Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.
Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...
BACKGROUND: Penetrance and risk of ventricular arrhythmias (VAs) in arrhythmogenic right ventricular cardiomyopathy (ARVC) are increasingly recognized as being genotype specific. Therefore, ...
I test smartwatches for a living — and these are my 5 favorite models when I go hiking - Tom's Guide
I've tested dozens upon dozens of smartwatches, and these five models are my current favorites for tracking outdoor adventures in 2025. Skip to main content Open menu Close menu ...
Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...
Unlike most other machine learning regression systems, when using LightGBM, numeric predictor and target variables can be used as-is. You can normalize numeric predictors using min-max, z-score, or ...
If, for example, some students had seen the answers ahead of time, the regression model would then have two explanatory variables: time studying and whether the student had prior knowledge of the ...
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