Results 171 to 180 of about 296,811 (276)

A covariate aware and dual convolutional network model for stadium crowd flow prediction. [PDF]

Sci Rep
Duan H, Sun Q.
europepmc   +1 more source

Advanced glucose control strategies leveraging Raman spectroscopy for optimized mammalian cell culture manufacturing

Biotechnology Progress, EarlyView.
Abstract Maintaining consistent quality in the manufacturing of biotherapeutic proteins in mammalian cell culture is challenging, with unplanned deviations causing inconsistencies and potential batch failure. Current methods for monitoring and controlling critical process parameters (CPPs) rely on slow, labor‐intensive offline analyses.
Matthew Banner, Daniel Ray, Irfan Ahanger, Fabio Zurlo, Noah Hitchcock, Rajesh Mistry, Kasia Kozakowska‐McDonnell, Matthew Cheeks, Richard Turner, Jonathan Welsh, Suzanne S. Farid, Michael Thomas, Stephen Goldrick   +12 more
wiley   +1 more source

Examining the experimental effects of concentration and temperature on the viscosity of nanofluid containing graphene oxide, suggesting a correlation, and developing a neural network. [PDF]

Sci Rep
Aghayari R, Keyvani B, Toghraie D, Salahshour S.   +3 more
europepmc   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source

Artificial intelligence-driven body surface area (BSA) estimation using computed tomography: Comparative evaluation with existing formulae. [PDF]

Medicine (Baltimore)
Sebro R, Elmahdy M.
europepmc   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

Efficient median estimation for stratified multi-population data: health services, medical workforce, and medical education. [PDF]

BMC Med Res Methodol
Daraz U, Aljohani HM, Alshanbari HM.
europepmc   +1 more source

Safety soft sensor development for pilot‐scale ilmenite electric arc furnace using long short‐term memory‐based architecture

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Ilmenite electric arc furnaces (EAFs) are used for smelting titanium‐iron oxide ore at high temperatures generated by electrical arcs to produce titanium slag and pig iron. As these units are pushed to their limits, ensuring safe and reliable operation becomes challenging.
Antony Gareau‐Lajoie, Djogap F. Chrysler J., Daniel Rodrigues, Marie‐Ève Gosselin, Moncef Chioua   +4 more
wiley   +1 more source

Information-Driven Rule Reduction in Belief Rule Bases for Complex System Modeling. [PDF]

Entropy (Basel)
Liu X, Huang H, Li Y, Xia Z, Zhao S.
europepmc   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source