Journal of ethnopharmacology
Jun 23, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Mulberry leaves (Morus alba L.) are used in traditional Chinese medicine to clear the lungs and dispel wind-heat. Despite their common use, chemical reference substance rely solely on rutin, which may not reflect their...
Scientific reports
Jun 23, 2025
Gesture recognition plays a vital role in computer vision, especially for interpreting sign language and enabling human-computer interaction. Many existing methods struggle with challenges like heavy computational demands, difficulty in understanding...
Brain topography
Jun 23, 2025
Functional brain network (FBN) derived from functional Magnetic Resonance Imaging (fMRI) has promising prospects in clinical research, but fMRI is not a routine acquisition data, which limits its popularity in clinical applications. Therefore, it is ...
The British journal of ophthalmology
Jun 23, 2025
AIMS: This study aims to investigate whether denoising diffusion probabilistic models (DDPMs) could generate realistic retinal images, and if they could be used to improve the performance of a deep convolutional neural network (CNN) ensemble for mult...
Aquatic toxicology (Amsterdam, Netherlands)
Jun 22, 2025
The Danube flows through various European regions, exposing its aquatic ecosystem to multiple stressors, including dams, canalization, and agricultural activities. Fertilizers, manures, pesticides, animal husbandry activities, irrigation practices, d...
Computers in biology and medicine
Jun 22, 2025
Epileptic seizures can occur unpredictably, making real-time monitoring and early warning systems critical, especially in neonatal patients, where timely intervention can significantly improve outcomes. Neonatal seizures are often subtle and difficul...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Deep Reinforcement Learning (DRL) has made significant strides in addressing various sequential decision-making problems, particularly in domains such as game simulations and robotic control. However, substantial challenges arise when DRL is applied ...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Domain generalization is proposed as an approach capable of solving the domain shift challenge, which aims at generalizing knowledge learned from multiple source domains with different distributions to the target domain that is invisible during the t...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Heterogeneous Graph Neural Networks (HGNNs) are a powerful tool for modeling data with diverse node and edge types, found in applications like social networks, recommendation systems, and knowledge graphs, including tasks such as node classification,...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Spiking Neural Networks (SNNs) are the new third generation of bio-mimetic neural networks suitable for large-scale parallel computation due to its advantages of low power consumption and low latency. However, most of the training algorithms and netw...