Results 211 to 220 of about 5,787,304 (258)

Air quality index prediction using machine learning regression models: A comparative analysis. [PDF]

PLoS One
Majeed F, Saleha S, Abbas L, Ghalib SA, Hamid M, Saleem M, Aman M, Ahmad A.   +7 more
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

On the Application of Information Geometry to the Manifold Induced by the Parameters of the Mean Square Error of Probability Functions. [PDF]

Entropy (Basel)
Garduño AA, Pérez CS, Neme A.
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

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Numerical modeling of the hydrodynamic behavior of MgO-water nanofluid in plate-fin heat exchangers under varying operating conditions. [PDF]

Sci Rep
Sultan AJ, Yahya AA, Faraj FH, Singh NSS, Jasim DJ, Sabri LS, Aljaafari HAS, Taner M, Hasanabad AM.   +8 more
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source