Results 211 to 220 of about 525,499 (288)
Brain tumour detection from magnetic resonance imaging using convolutional neural networks
Irene Rethemiotaki
doaj +1 more source
Efficient spiking convolutional neural networks accelerator with multi-structure compatibility. [PDF]
Wu J +6 more
europepmc +1 more source
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source
A bioinspired TENG features a homologously paired interface with matched modulus. Ultrasonic cavitation enhances its toughness to 190 N m−1 (3.2× higher), preventing delamination under 400% strain. Abstract With the growing demand for flexible self‐powered energy sources for wearable bioelectronics, triboelectric nanogenerator (TENG) have emerged as a ...
Shiwei Xu +7 more
wiley +1 more source
Squeeze-and-Excitation Enhanced Convolutional Neural Networks for Multi-class Pneumonia Classification on Chest Radiographs. [PDF]
Huang KA +3 more
europepmc +1 more source
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
Automated and accurate view classification of fetal echocardiography using convolutional neural networks. [PDF]
Shi J +17 more
europepmc +1 more source
Software Requirements Classification Using Word Embeddings and Convolutional Neural Networks
Vivian Lin Fong
openalex +2 more sources
This article presents an innovative room‐temperature formaldehyde sensor based on H⁺ exchange method, achieving ppb‐level detection limit and exceptional selectivity. The study highlights its practical potential for real‐time environmental monitoring and clinical diagnostic applications.
Lubing Cai +9 more
wiley +1 more source
Acoustic-based fault diagnosis of electric motors using Mel spectrograms and convolutional neural networks. [PDF]
Uzel H +4 more
europepmc +1 more source

