Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Recent advances in large language models (LLMs) and vision-language models (VLMs) have enabled pow...
While diffusion models have demonstrated remarkable generative capabilities, existing style transf...
Signal restoration and inverse problems are key elements in most real-world data science applicati...
The development of modern Artificial Intelligence (AI) models, particularly diffusion-based models...
Among the genetic algorithms generally used for optimization problems in the recent decades, quant...
Recent work has shown improved lesion detectability and flexibility to reconstruction hyperparamet...
Lightweight containers provide an efficient approach for deploying computation-intensive applicati...
Universal Domain Adaptation (UniDA) focuses on transferring source domain knowledge to the target ...
Personalized federated learning (PFL) offers a solution to balancing personalization and generaliz...
H nuclear magnetic resonance (NMR) spectroscopy plays an important role in the pharmaceutical indust...
Large foundation models trained on extensive datasets demonstrate strong zero-shot capabilities in...
In recent years, the development of specialized edge computing devices has significantly increased...
Existing deraining models process all rainy images within a single network. However, different rai...
Cloud data centres demand adaptive, efficient, and fair resource allocation techniques due to hete...
In this study, a shift-invariant optical pattern classification system is proposed. Optical machine ...
Artificial intelligence (AI)-based clinical decision support systems (CDSS) hold great promise for m...
Medical imaging constitutes critical information in the diagnostic and prognostic evaluation of pati...
The design-make-test cycle for drug discovery is highly dependent on the purification of synthesized...
The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trial...
Accurate risk assessment of Venous Thromboembolism (VTE) holds significant value for clinical decisi...
Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diag...