Results 231 to 240 of about 94,123 (313)
Sidelobe suppression for cosine-sum window functions via chaotic particle swarm optimization. [PDF]
Dong Z, Chen Y.
europepmc +1 more source
Abstract Applying a single parameter set to describe complex mammalian kinetics often is too simplistic, as it fails to capture sensitive cell‐to‐environment interactions that may be exploited to optimize production performance. To resolve this time dependency, intra‐experimental parameter shifts as part of design of dynamic experiments (DoDE) can be ...
Samuel Kienzle +7 more
wiley +1 more source
SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]
Jena M, Dehuri S, Cho SB.
europepmc +1 more source
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 +12 more
wiley +1 more source
A Novel Method for Motion Blur Detection and Quantification Using Signal Analysis on a Controlled Empirical Image Dataset. [PDF]
Nonsakhoo W, Saiyod S.
europepmc +1 more source
Abstract Traditional off‐line analysis methods to quantify residual metabolite concentrations in a drug substance fermentation process consume valuable time, require costly resources, and demand potentially hazardous manual operations when working with pathogenic biological organisms.
Griffin P. Thomas +7 more
wiley +1 more source
Abstract In biopharmaceutical manufacturing, protein aggregation is a critical quality attribute, necessitating rapid and reliable analytical strategies during downstream processes like anion‐exchange chromatography (AEX). While Raman spectroscopy enables continuous monitoring of protein secondary structure, standard data‐driven regression models ...
Jakob Heyer‐Müller +4 more
wiley +1 more source
Optimizing Tourism Routes: A Quantum Approach to the Profitable Tour Problem. [PDF]
Cheng XS, Liu YH, Dong XH, Wang Y.
europepmc +1 more source
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
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 +7 more
wiley +1 more source
Quadratic Motion Polynomials with Irregular Factorizations. [PDF]
Thimm DA +3 more
europepmc +1 more source

