Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
This paper calls on the research community not only to investigate how human biases are inherited ...
Efficiently serving large language models (LLMs) under dynamic and bursty workloads remains a key ...
Chiral mobile phase additive (CMPA) technique is an attractive method for chromatographic enantiosep...
Test-time compute has empowered multimodal large language models to generate extended reasoning ch...
Large Language Model (LLM) inference is typically memory-intensive, especially when processing lar...
As learned image compression (LIC) methods become increasingly computationally demanding, enhancin...
Current large vision-language models (LVLMs) typically employ a connector module to link visual fe...
Recently, 3D GANs based on 3D Gaussian splatting have been proposed for high quality synthesis of ...
Dataset pruning -- selecting a small yet informative subset of training data -- has emerged as a p...
Recent studies have shown that vector representations of contextual embeddings learned by pre-trai...
Continual post-training adapts a single text-to-image diffusion model to learn new tasks without i...
The problems that tobacco workshops encounter include poor curing, inconsistencies in supplies, ir...
Adversarial attacks exploiting unrestricted natural perturbations present severe security risks to...
BACKGROUND: The English National Health Service (NHS) strives for a fair, diverse, and inclusive wor...
The automatic identification of medication states of Parkinson's disease (PD) patients can assist ...
Recent advancements in deep models have highlighted the need for intelligent systems that combine ...
Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...
PURPOSE: This article summarizes a novel methodology of applying machine learning (ML) algorithms tr...
In this study, we introduce a groundbreaking deep learning (DL) model designed for the precise task ...
Objective: As AI becomes increasingly central to healthcare, there is a pressing need for bioinfor...
Vehicular metaverses are an emerging paradigm that merges intelligent transportation systems with ...