Unified platforms simplify outcome monitoring and strengthen governance —both critical as systems become increasingly autonomous.
Uber is evolving into a global logistics operating system driven by demand aggregation and capital efficiency, a transition ...
Objective: This study intends to construct a CT-based explainable machine learning model for preoperative prediction of thyroid nodule benignity or malignancy, aiming to provide a more accurate tool ...
FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...
Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...
Abstract: Multidimensional small baseline subset interferometric synthetic aperture radar (MSBAS InSAR) is a multidimensional deformation time series inversion method that integrates multiorbit SAR ...
Department of Biostatistics & Bioinformatics, Rollins School of Public Health, Winship Cancer Institute, Atlanta, USA. Department of Biostatistics and Computational Biology University of Rochester, ...
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