Results 231 to 240 of about 17,674 (302)

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

open access: yesMacromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari   +3 more
wiley   +1 more source

Optimization of Flexural Strength of PLA Flexural Test Specimens Produced by FDM Using Taguchi L27 Orthogonal Array and Hybrid Regression Model

open access: yesJournal of Polymer Science, EarlyView.
This study investigates the impact of FDM process parameters on the flexural strength of PLA components using a Taguchi L27 orthogonal array. Analysis reveals wall thickness and layer height as the primary determinants of mechanical performance. A highly accurate regression model is developed, providing a robust predictive framework to optimize 3D ...
Mehmet Şah Gültekin, Cüneyt Özdemir
wiley   +1 more source

Advances in Microbial Diagnostics: Machine Learning and Nanotechnology for Zoonotic Disease Control. [PDF]

open access: yesWiley Interdiscip Rev Nanomed Nanobiotechnol
Lotfalizadeh N   +8 more
europepmc   +1 more source

Snapshots of Motion: A Novel Structural Intermediate Reveals Conserved Dynamics in Archaeal DNA Ligases

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT We present the first x‐ray crystallographic structural evidence of an archaeal DNA ligase showing the AMP covalent adduct together with further cofactor hydrolysis, capturing a transient intermediary in the first step of the ligation reaction, triggered by the pyrophosphate hydrolysis.
A. X. Quintana‐Armas   +3 more
wiley   +1 more source

Assimilation of machine‐learning‐predicted nitrate to improve the quality of phytoplankton forecasting in the shelf‐sea environment

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee   +2 more
wiley   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

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