Results 181 to 190 of about 158,004 (250)
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Aorto-Right Atrial Fistula Resulting From a Ruptured Right Coronary Sinus of Valsalva Aneurysm. [PDF]
Pugh C, Snoddy K, Hammock J, Witcher A.
europepmc +1 more source
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Data to establish Landé factors for 537.15 and 510.76 nm Fe I lines, and for rotational levels of the e <sup>6</sup>Π and a <sup>6</sup>Δ states of FeH. [PDF]
Ross AJ +4 more
europepmc +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Exosome crown proteins are promising markers for liquid biopsy of breast cancer. [PDF]
Tamkovich S +3 more
europepmc +1 more source
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao +5 more
wiley +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Endogenous Methicillin-Resistant Staphylococcus aureus (MRSA) Endophthalmitis Presenting as an Anterior Chamber Abscess With Necrotizing Scleritis. [PDF]
Dawson ZP +3 more
europepmc +1 more source

