The performance prediction and optimization of the fiber-reinforced composite structure with uncertain parameters
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DOI: 10.1016/j.compstruct.2016.12.074
Abstract: Abstract The fiber-reinforced composites display the random fiber orientations and uncertain material parameters because of the manufacturing error and scattering feature. For this problem, the uncertain prediction and optimization based on the transformed perturbation stochastic… read more here.
Keywords: reinforced composite; optimization; fiber reinforced; prediction optimization ... See more keywords
IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep Learning Method
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c00297
Abstract: The prediction and optimization of pharmacokinetic properties are essential in lead optimization. Traditional strategies mainly depend on the empirical chemical rules from medicinal chemists. However, with the rising amount of data, it is getting more… read more here.
Keywords: prediction optimization; idl ppbopt; deep learning; interpretable deep ... See more keywords
Toward Autonomous Farming—A Novel Scheme Based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
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DOI: 10.1109/jiot.2022.3196053
Abstract: The greenhouse industry has received great attention and experienced tremendous growth in the recent past across the globe. However, energy consumption and labor cost in greenhouses account for more than 50% of the cost of… read more here.
Keywords: greenhouse environment; greenhouse; scheme; prediction optimization ... See more keywords
Prediction and optimization of mechanical properties of PA6/NBR/graphene nanocomposites fabricated by friction stir processing
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Elastomers and Plastics"
DOI: 10.1177/00952443211020049
Abstract: The friction stir process (FSP) method used to prepare polyamide 6 (PA6)/nitrile-butadiene rubber (NBR) nanocomposites with 1 wt% Graphene nanoparticles. Response surface methodology (RSM) and Box-... read more here.
Keywords: friction; friction stir; mechanical properties; prediction optimization ... See more keywords
Machine Learning for Property Prediction and Optimization of Polymeric Nanocomposites: A State-of-the-Art
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DOI: 10.3390/ijms231810712
Abstract: Recently, the field of polymer nanocomposites has been an area of high scientific and industrial attention due to noteworthy improvements attained in these materials, arising from the synergetic combination of properties of a polymeric matrix… read more here.
Keywords: prediction optimization; polymeric nanocomposites; property prediction; machine learning ... See more keywords