A Novel Approach to Vibro-Acoustic Fault Diagnosis Using Intrinsic Multidimensional Gnome Entropy Analysis and a Convolutional Neural Network. [PDF]
Xu H, Zhou Y, Liu H, Yuan Q.
europepmc +1 more source
Inspired by the sophisticated multilayer retinal architecture found in Pacific salmon eyes, a novel van der Waals heterojunction sensor based on NbNiTe5/BP is designed. Upon illumination at distinct wavelengths of 365 and 820 nm, the device exhibits distinctive bipolar photocurrent responses with opposite polarities. This unique optoelectronic behavior
Tianle Zeng +18 more
wiley +1 more source
Construction and validation of a unified 3D convolutional neural network framework for automated identification of cervical spinal cord injury based on CT imaging. [PDF]
Ou D +8 more
europepmc +1 more source
Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong +8 more
wiley +1 more source
Automated quality assurance of rigid brain CT/MR image registration using a 3D convolutional neural network. [PDF]
Chahrour ZA +6 more
europepmc +1 more source
qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang +3 more
wiley +1 more source
Predicting Protein-Protein Interactions by Convolutional Neural Network Model. [PDF]
Shi S +6 more
europepmc +1 more source
PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley +1 more source
Super-resolution of periapical and bitewing digital radiographs using convolutional neural network. [PDF]
Pourahmadiyan-Nadiki H +3 more
europepmc +1 more source
This study developed ECOS‐Net, a transformer‐based multitask framework integrating CT‐derived habitat and 2.5D deep learning features to simultaneously predict early disease control and overall survival in hepatocellular carcinoma patients treated with immune checkpoint inhibitors.
Xiaona Fu +23 more
wiley +1 more source

