An adaptive modeling approach using spiking-augmentation method to improve chemometric model performance in bioprocess monitoring.
Sign Up to like & getrecommendations! Published in 2023 at "Biotechnology progress"
DOI: 10.1002/btpr.3349
Abstract: Intensified and continuous processes require fast and robust methods and technologies to monitor product titer for faster analytical turnaround time, process monitoring, and process control. The current titer measurements are mostly offline chromatography-based methods which… read more here.
Keywords: adaptive modeling; titer; model performance; model ... See more keywords
Adaptive Modeling of Fixed-Bed Reactors with Multicycle and Multimode Characteristics Based on Transfer Learning and Just-In-Time Learning
Sign Up to like & getrecommendations! Published in 2020 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b06668
Abstract: Multi-cycle and multi-mode are important features in fixed bed reactors due to a manifold of reasons such as catalyst regeneration and equipment updates. Unfortunately, samples are not sufficient t... read more here.
Keywords: reactors multicycle; bed reactors; fixed bed; multicycle multimode ... See more keywords
Adaptive Modeling of Prediction of Telecommunications Network Throughput Performances in the Domain of Motorway Coverage
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11083559
Abstract: The main goal of this paper is to create an adaptive model based on multilayer perceptron (MLP) for prediction of average downlink (DL) data throughput per user and average DL data throughput per cell within… read more here.
Keywords: adaptive modeling; throughput; modeling prediction; model ... See more keywords