Results 161 to 170 of about 12,139 (206)

Explainability in AI-enabled medical neurotechnology: a scoping review. [PDF]

J Neuroeng Rehabil
Schopp L, Starke G, Ienca M.
europepmc   +1 more source

Early Type 2 diabetes risk prediction using explainable machine learning in a two-stage approach. [PDF]

Front Digit Health
Majyambere S, Lindgren T, Twizere C, Ntakirutimana I.   +3 more
europepmc   +1 more source

Enhancing bioinformatics engineering by utilizing graph therapeutic properties for clinically approved antitoxin drugs in zoonotic diseases. [PDF]

Sci Rep
Imran M, Aqib M, Malik MA, Jutt S.
europepmc   +1 more source

The Homburg-Adelaide toric IOL nomogram: How to predict corneal power vectors from preoperative IOLMaster 700 keratometry and total corneal power in toric IOL implantation. [PDF]

Acta Ophthalmol
Langenbucher A, Szentmáry N, Wendelstein J, Cayless A, Hoffmann P, Goggin M.   +5 more
europepmc   +1 more source

Recent cloud trends and extremes reaffirm moderate climate sensitivity

Zelinka M, Myers T, Qin Y, Chao L, Klein S, Po-Chedley S, Ma P, Wall C, Ceppi P, Gettelman A.   +9 more
europepmc   +1 more source

Enhanced thermoelectric performance in Fe₂V_0.8W_0.2Al thin films: synergistic effects of chemical ordering and tungsten substitution.

J Mater Chem A Mater
Domínguez-Vázquez JM, Tenaguillo MÁ, Lohani K, Caballero-Calero O, Manzano CV, Plata JJ, Marquez AM, Cebollada A, Conca A, Martín-González M.   +9 more
europepmc   +1 more source

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Development of Multilinear Regression Models for Online Voltage Stability Margin Estimation

IEEE Transactions on Power Systems, 2011
This paper investigates the use of reactive power reserves (RPR) as an indicator to estimate voltage stability margin (VSM) in an online environment. The methodology relies upon the relationship between system-wide RPRs and VSM. Statistical multilinear regression models (MLRM) are utilized in order to express how variations in RPRs can be transformed ...
Venkataramana Ajjarapu
exaly   +2 more sources

Sensitivity Analysis of the Calibration of Dataset for a Road Traffic Noise Multilinear Regressive Model

2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC), 2023
Quantitative evaluation of noise levels is of great importance for the overall evaluation of inhabited contexts. Road traffic noise is a pervasive kind of pollution, which causes health problems to people exposed to sound levels exceeding 55 dBA.
Domenico Rossi, Aurora Mascolo, Claudio Guarnaccia   +2 more
openaire   +2 more sources

Mapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsula

Environmental Monitoring and Assessment, 2022
A physiographic-based multilinear regression model supported by GIS was developed to estimate spatial rainfall variability in the Southwest Iberian Peninsula. The area study includes a wide diversity of landscape features and comprises four Portuguese regions and one Spanish province (totalizing 28,860 km2).
Veronica Ruiz-Ortiz, Jorge M G P Isidoro, Helena Maria Fernández   +2 more
exaly   +5 more sources