Results 231 to 240 of about 79,617 (312)

Machine learning‐assisted clone selection for intensified cell culture processes

Biotechnology Progress, EarlyView.
Abstract Intensified fed‐batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space–time yields relative to traditional, non‐intensified fed‐batch processes. However, the shift towards intensified manufacturing has unexpectedly made optimal clone selection more challenging.
Nicolas Wolnick, John Schmitt, Christian Siltanen, Julia Armstrong, Shannon Hendrick, Ariel Atchley, Brandon Downey   +6 more
wiley   +1 more source

Integrating NSGA-II and TOPSIS for Stacking Model Optimization in Pursuit of Halide Double Perovskite Screening. [PDF]

Materials (Basel)
Liang G, Zhang J.
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

Optimal Transport Theory to Extract Spiking Motifs

Grimaldi A, Sotomayor-Gómez B, Gilson M, Perrinet L, Alamia A, Vinck M.   +5 more
europepmc   +1 more source

Graphic design style transfer and aesthetic optimization algorithm based on a generative adversarial network. [PDF]

Sci Rep
Deng B, Ren L, Chan T, Tang C.
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

Fourier transform-based single domain generalization for crowd counting. [PDF]

Sci Rep
Song L, Li T, Cai Z, Guo J, He J, Xie J, Zhang Y.   +6 more
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

Channel estimation strategies for STAR-RIS-Aided NOMA: robustness to imperfections and complexity trade-offs for 6G wireless systems. [PDF]

Sci Rep
Ammisetty MB, Ramarakula M.
europepmc   +1 more source

Precipitation of niobic acid from potassium niobate in sulphuric acid solution: A route to niobium oxide

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical abstract illustrating the niobic acid precipitation process applied and the product obtained. Abstract This study investigates the precipitation of niobic acid (Nb2O5.nH2O) from potassium niobate solution with addition of sulphuric acid, and its subsequent thermal conversion into niobium oxide (Nb2O5). Thermodynamic modelling with PHREEQC and
Cássia R. Souza, Gabriela C. Silva, Isabel P. Silva, Frederico M. Penha, Sônia D. F. Rocha   +4 more
wiley   +1 more source