Results 161 to 170 of about 295,380 (300)

Receiver operating characteristic curves and comparison of cardiac surgery risk stratification systems [PDF]

, 2004
Giedrius Vanagas
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Determining Insulin Resistance Cutoffs in Mexican Adults: Percentile Distribution vs. Receiver Operating Characteristic Curve Analysis. [PDF]

Cureus
Decaro-Fragoso MF, Estrada-Garcia T, Lopez-Saucedo C, Elizalde-Barrera CI.   +3 more
europepmc   +1 more source

Balanced Hybrid Nutrient Density Score Compared to Nutri-Score and Health Star Rating Using Receiver Operating Characteristic Curve Analyses. [PDF]

Front Nutr, 2022
Drewnowski A, Gonzalez TD, Rehm CD.
europepmc   +1 more source

An Examination of Aerosol Jet‐Printed Surface Roughness and its Impact on the Performance of High‐Frequency Electronics

Advanced Engineering Materials, EarlyView.
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley   +1 more source

Re: The Central Role of Receiver Operating Characteristic (ROC) Curves in Evaluating Tests for the Early Detection of Cancer [PDF]

, 2005
Stefano Parodi, Alberto Izzotti, Marco Muselli   +2 more
openalex   +1 more source

Tribology of ZrC Coatings and Spherical Tips Acquired with Extraordinarily Stiff, Metal Atomic Force Microscopy Probes

Advanced Engineering Materials, EarlyView.
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk, Marcin Michałowski, Bogdan Warcholiński, Michał Milczarek, Adam Gilewicz   +4 more
wiley   +1 more source

The receiver operating characteristic curve accurately assesses imbalanced datasets. [PDF]

Patterns (N Y)
Richardson E, Trevizani R, Greenbaum JA, Carter H, Nielsen M, Peters B.   +5 more
europepmc   +1 more source

Identification of an optimal prolactin threshold to determine prolactinoma size using receiver operating characteristic analysis. [PDF]

Sci Rep, 2021
Leca BM, Mytilinaiou M, Tsoli M, Epure A, Aylwin SJB, Kaltsas G, Randeva HS, Dimitriadis GK.   +7 more
europepmc   +1 more source

Influence of a Standard Heat Treatment on the Microstructure and Properties of Inconel X‐750 Produced by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Ni‐base superalloys produced using additive manufacturing (AM) have a different response to heat treatments when compared to their conventional counterparts. Due to such unpredictability, various alloys with industrial interest are currently overlooked in most prior AM research.
Guilherme Maziero Volpato, Adriano de Souza Pinto Pereira, Steffen Neumeier, Dachamir Hotza, Mathias Göken, Ulrich Tetzlaff, Márcio Celso Fredel   +6 more
wiley   +1 more source