Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Breast cancer is a leading cause of cancer-related mortality among women worldwide, with mammography...
Visual Place Recognition (VPR) determines a query image's geographic location by matching it against...
The optimization and control of bioprocesses require robust in silico models that can accurately cap...
Reliable visual perception under low illumination remains a core challenge for autonomous robotic sy...
Pretrained vision-language models such as CLIP exhibit strong zero-shot generalization but remain se...
Image enhancement models for mobile devices often struggle to balance high output quality with the f...
Humans and modern vision models can reach similar classification accuracy while making systematicall...
Pancreatic tumor segmentation in contrast-enhanced computed tomography (CT) is clinically important ...
Conditional medical image generation plays an important role in many clinically relevant imaging tas...
Soft-tissue deformation remains a major limitation in image-guided neurosurgery, where intra-operati...
Autoregressive video diffusion is emerging as a promising paradigm for streaming video synthesis, wi...
Parkinson's disease (PD) is a progressive disorder in which symptom burden and functional impairment...
Pathological diagnosis is highly reliant on image analysis, where Regions of Interest (ROIs) serve a...
Tristructural isotropic (TRISO)-coated particle fuels undergo dimensional changes and chemical react...
Artificial intelligence (AI) is reshaping proteomics workflows, delivering remarkable gains in both ...
Earth Observation (EO) satellite scheduling (deciding which imaging tasks to perform and when) is a ...
Raveling, the loss of aggregates, is a major form of asphalt pavement surface distress, especially o...
Deep neural networks are typically trained by uniformly sampling large datasets across epochs, despi...
ObjectivesTo develop and evaluate predictive models for unused outpatient appointments (missed or ca...
Large-scale three-dimensional (3D) scene reconstruction in low-altitude intelligent networks (LAIN) ...
Fine-tuning pretrained image classifiers is standard practice, yet which individual samples are forg...