Results 31 to 40 of about 9,528 (141)
Tensor Regression Networks [PDF]
, 2020 Convolutional neural networks typically consist of many convolutional layers followed by one or more fully connected layers. While convolutional layers map between high-order activation tensors, the fully connected layers operate on flattened activation ...
Anandkumar, Anima +5 more
core +1 more source
Mathematics, 2021 This study considers the usage of multilinear regression and artificial neural network modelling to forecast ozone concentrations with regard to weather-related indicators (wind speed, wind direction, relative humidity and temperature). Initial data were
Svajone Bekesiene +2 more
doaj +1 more source
Predicting Skin Permeability by means of Computational Approaches : Reliability and Caveats in Pharmaceutical Studies [PDF]
, 2019 © 2019 American Chemical Society.The skin is the main barrier between the internal body environment and the external one. The characteristics of this barrier and its properties are able to modify and affect drug delivery and chemical toxicity parameters.
Almerico, Anna Maria +5 more
core +2 more sources
Heliyon, 2019 This work evaluates near-infrared (NIR) spectroscopy coupled with chemometric tools for determining the superficial content of citral (SCCt) on microparticles. To perform this evaluation, using spray drying, citral was encapsulated in a matrix of dextrin
Ives Yoplac +4 more
doaj +1 more source
Scientific Reports, 2023 The investigation compares the conventional, advanced machine, deep, and hybrid learning models to introduce an optimum computational model to assess the ground vibrations during blasting in mining projects.
Shahab Hosseini +8 more
doaj +1 more source
Applied Sciences, 2022 To make full use of the massive monitoring data accumulated in China high-speed railways, an improved statistical process control (SPC) framework was introduced to analyze the discontinuous monitoring data of the track system on a high-speed railway ...
Yanrong Zhang +4 more
doaj +1 more source
Axiomatic Attribution for Multilinear Functions [PDF]
, 2011 We study the attribution problem, that is, the problem of attributing a change in the value of a characteristic function to its independent variables. We make three contributions.
Sun, Yi, Sundararajan, Mukund
core +1 more source
Statistical inference in compound functional models [PDF]
, 2012 We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak +2 more
core +4 more sources
International Journal of Mechanics, 2023 Estimation of road traffic noise is fundamental for the health of people living in urban areas, and it is usually assessed based on field-measured data. Real data may not always be available, anyway, and for this reason, predictive models play an important role in the evaluation and controlling of the noise impact.
Rossi D., Mascolo A., Guarnaccia C.
openaire +2 more sources
Energies, 2022 Wax deposition and gelation of waxy crude oil in production pipelines are detrimental to crude oil transportation from offshore fields. A waxy crude oil forms intra-gel voids in pipelines under cooling mode, particularly below the pour point temperature.
Girma Tadesse Chala, Berihun Mamo Negash
doaj +1 more source