Results 231 to 240 of about 209,152 (323)

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models. [PDF]

Sci Data
Yu J, Tang Y, Feng K, Liang L, Zhang Q, Ding K, Chen H.   +6 more
europepmc   +1 more source

AlphaFold2‐Guided Cyclic Peptide Stabilizer Design to Target Protein–Protein Interactions

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The control and modulation of protein–protein interactions (PPIs) is of central importance for the majority of biological processes and most biomedical applications. Stabilization of PPIs, besides inhibition, is of growing pharmaceutical interest.
Niklas Halbwedl, Martin Zacharias
wiley   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

A web-based deep learning cascade for automated detection and quantification of marginal bone loss. [PDF]

BMC Oral Health
Adnan N, Ahmed SMF, Nooruddin A, Sadiq A, Khalid A, Haseeb M, Ghori MH, Umer F.   +7 more
europepmc   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Fine-tuning protein language models unlocks the potential of underrepresented viral proteomes. [PDF]

PeerJ
Sawhney R, Ferrell BD, Dejean T, Schreiber Z, Harrigan W, Polson SW, Wommack KE, Belcaid M.   +7 more
europepmc   +1 more source

GPU Programming using NVIDIA CUDA

International Journal for Research in Applied Science and Engineering Technology, 2018
openaire   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Optimizing deep learning models for on-orbit deployment through neural architecture search. [PDF]

Sci Rep
Del Prete R, Thind PK, Mazzeo A, Whitley M, Papa L, Longépé N, Meoni G.   +6 more
europepmc   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source