Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.
Automated Essay Scoring systems have traditionally relied on shallow lexical data, such as word freq...
Introducing learnable prompts into CLIP and fine-tuning them have demonstrated excellent performance...
In contemporary Multi-Agent Reinforcement Learning (MARL), effectively enhancing the expressive capa...
The expression levels of microRNAs (miRNAs) are strongly linked to cancer progression, making them p...
Continual learning (CL) has received a surge of interest, particularly in parameter isolation approa...
Graph neural networks (GNNs) have achieved remarkable success in drug-target affinity (DTA) analysis...
Transformers have shown great potential in vision tasks such as semantic segmentation. However, most...
In response to the growing complexity of network threats, researchers are increasingly turning to ma...
Single-cell multiomics clustering integrates multiple omics data to analyze cellular heterogeneity a...
A thorough understanding of cell-line drug response mechanisms is crucial for drug development, repu...
This article proposes a method called DenseNet 121-Mask R-CNN (DN-MRCNN) for the detection and segme...
Recent advances in the design of convolutional neural networks have shown that performance can be en...
The built environment exerts a significant influence on the frequency and severity of traffic accide...
Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous conc...
Single-cell RNA sequencing (scRNA-seq) has revolutionized the field of cellular diversity research. ...
Pan-sharpening is a widely employed technique for enhancing the quality and accuracy of remote sensi...
BACKGROUND: Computed tomography angiography (CTA) is used to screen for coronary artery calcificatio...
Multi-view graph refining-based clustering (MGRC) methods aim to facilitate the clustering of data v...
Multi-view classification integrates features from different views to optimize classification perfor...
Graph neural networks (GNNs) have shown great promise in modeling graph-structured data, but the ove...
Electron microscopy (EM) image denoising is critical for visualization and subsequent analysis. Desp...