Evidential deep learning for trustworthy prediction of enzyme commission number. [PDF]
Han SR +7 more
europepmc +1 more source
Punctured Parallel and Serial Concatenated Convolutional Codes for BPSK/QPSK Channels
O.F. Acikel
openalex +1 more source
Abstract A persistent challenge in hydrological modeling is reliably transferring predictive skill across time and among basins that appear distinct based on conventional static attributes. Here we address this challenge by leveraging Google's newly released data set generated from the AlphaEarth Foundations model, providing 64‐dimensional satellite ...
Zhigang Ou, Yi Zheng
wiley +1 more source
CSAFusion: a convolutional neural network (CNN)-based and Swin Transformer network for multi-modal medical image fusion. [PDF]
Zhang L, Zheng J, Tang X.
europepmc +1 more source
Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net
ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
wiley +1 more source
A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem. [PDF]
Krishnan S, Rajendran S, Zakariah M.
europepmc +1 more source
Deep multimodal learning for domain-level cognitive decline prediction in Alzheimer's disease. [PDF]
García-Gutiérrez F +2 more
europepmc +1 more source
Prediction of CRISPR-Cas9 off-target activities with mismatches and indels based on hybrid neural network. [PDF]
Yang Y, Li J, Zou Q, Ruan Y, Feng H.
europepmc +1 more source
vEMINR: Ultra-Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation. [PDF]
Yang J +7 more
europepmc +1 more source
SwinCLNet: a robust framework for brain tumor segmentation via shifted window attention and cross-scale fusion. [PDF]
Jin S, Noh Y, Moon H, Lee M, Noh W.
europepmc +1 more source

