Results 241 to 250 of about 2,475,679 (305)

Dynamic learning of the meaning of information changes pain perception. [PDF]

Sci Rep
Hird EJ, Charalambous C, El-Deredy W, Jones AKP, Talmi D.   +4 more
europepmc   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Optimizing Image Segmentation for Microstructure Analysis of High-Strength Steel: Histogram-Based Recognition of Martensite and Bainite. [PDF]

Materials (Basel)
Hallo F, Jażdżewski T, Bała P, Korpała G, Regulski K.   +4 more
europepmc   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

Comparative evaluation of SNP-weighted, Bayesian, and machine learning models for genomic prediction in Holstein cattle. [PDF]

BMC Genomics
Zheng W, Zhang Q, He J, Han B, Zhang Q, Sun D.   +5 more
europepmc   +1 more source

Gaussian Processes for Predictive QSAR Modeling of Chromatographic Processes

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Chromatography is a key unit operation in the biopharmaceutical manufacturing process used for protein purification and polishing. Design and optimization of these processes are resource‐intensive resulting from the complex combinatorial design space.
Harini Narayanan, Douglas Nolan, Lijuan Li, Edward King, Andrew Fiordalis, David Benjamin Nickel, George Parks, J. Christopher Love   +7 more
wiley   +1 more source

Two-Tier heuristic search for ransomware-as-a-service based cyberattack défense analysis using explainable Bayesian deep learning model. [PDF]

Sci Rep
Almuflih AS.
europepmc   +1 more source

Predicting Stunting Beyond Borders: Lessons From an Ethiopian Model and Pathways for Global Application. [PDF]

Health Sci Rep
Paramashanti BA.
europepmc   +1 more source

Optimizing Fuel Consumption Prediction Model Without an On-Board Diagnostic System in Deep Learning Frameworks. [PDF]

Sensors (Basel)
Keskin R, Belge E, Kutoglu SH.
europepmc   +1 more source

Bayesian continual learning and forgetting in neural networks. [PDF]

Nat Commun
Bonnet D, Cottart K, Hirtzlin T, Januel T, Dalgaty T, Vianello E, Querlioz D.   +6 more
europepmc   +1 more source