Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Large Language Models (LLMs) present a critical trade-off between inference quality and computational cost: larger models offer superior capabilities but incur significant latency, while smaller models are faster but less powerful. Existing serving strategies often employ fixed model scales or static two-stage speculative decoding, failing to dynamically adapt to the varying complexities of user...
The human body demonstrates exceptional motor capabilities-such as standing steadily on one foot or performing a high kick with the leg raised over 1.5 meters-both requiring precise balance control. While recent research on humanoid control has leveraged reinforcement learning to track human motions for skill acquisition, applying this paradigm to balance-intensive tasks remains challenging. In ...
Besides typical generative applications, like ChatGPT, GitHub Copilot, and Cursor, we observe an emerging trend that LLMs are increasingly used in t...
: Basketball performance requires not only intermittent high-intensity movements-such as sprinting, jumping, and rapid directional changes-but also ra...
The powerful effects of electronic word of mouth on employer branding and prehire outcomes suggest a need for employers to formulate effective respons...
Explainable Artificial Intelligence (XAI) offers promising advancements in enhancing transparency and usability of AI-based Clinical Decision Support ...
Perinatal depression (PND) affects 1 in 5 mothers, with 85% lacking support. Digital health tools offer early identification and prevention, potenti...
This paper proposes a method MTL-Swin-Unet which is multi-task learning using transformers for classification and semantic segmentation. For spuriou...
Work is a central source of identity and meaning. The rapid and widespread adoption of generative artificial intelligence (GenAI) is reshaping workpla...
This paper presents a novel approach for optimizing the scheduling and control of Pan-Tilt-Zoom (PTZ) cameras in dynamic surveillance environments. ...
In this paper, we reveal a novel haze-specific wavelet degradation prior observed through wavelet transform analysis, which shows that haze-related ...
Accurate estimation of production times is critical for effective manufacturing scheduling, yet traditional methods relying on expert analysis or hi...
Spiking Neural Networks (SNNs) are increasingly recognized for their biological plausibility and energy efficiency, positioning them as strong alter...
Face anti-spoofing is a critical technology for ensuring the security of face recognition systems. However, its ability to generalize across diverse...
Employee churn is a critical issue for companies and organizations, as it directly impacts productivity, efficiency, and overall operational success. ...
In regions lacking medically certified causes of death, verbal autopsy (VA) is a critical and widely used tool to ascertain the cause of death throu...
The widespread adoption of Artificial Intelligence (AI) has been driven by significant advances in intelligent system research. However, this progre...
Large language models (LLMs) have achieved impressive performance across various domains. However, the substantial hardware resources required for t...
Existing edge detection methods often suffer from noise amplification and excessive retention of non-salient details, limiting their applicability i...
Large Language Models (LLMs) have demonstrated human-like capabilities in language comprehension and generation, becoming active participants in soc...