For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...
An academia-industry collaboration developed a new sampling algorithm for Design of Experiment indenting to democratize experimental design.
State-of-the-art AI programs can support the development of drugs by predicting how proteins interact with small molecules.
Chepkwony, I. and Keter, J. (2025) Impact of Library Resource Utilization on Secondary School Students’ Performance in Chemistry at Uasin Gishu County, Kenya. Open Journal of Social Sciences, 13, ...
Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...
A double-masked study design was not feasible because ... multiple imputations methods for missing data (Markov chain Monte Carlo method under the assumption of missing at random (MAR), ...
Abstract: High-precision systems modeling is one of the main areas of industrial data analysis. Models of systems, their digital twins, are used to predict their behavior under various conditions. In ...
Abstract: Precise modeling of dynamical systems can be crucial for engineering applications. Traditional analytical models often struggle when capturing real-world complexities due to challenges in ...
Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397 Biberach an der Riss, Germany ...
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