Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Work is a central source of identity and meaning. The rapid and widespread adoption of generative ar...
This paper presents a novel approach for optimizing the scheduling and control of Pan-Tilt-Zoom (P...
In this paper, we reveal a novel haze-specific wavelet degradation prior observed through wavelet ...
Accurate estimation of production times is critical for effective manufacturing scheduling, yet tr...
Spiking Neural Networks (SNNs) are increasingly recognized for their biological plausibility and e...
Face anti-spoofing is a critical technology for ensuring the security of face recognition systems....
Employee churn is a critical issue for companies and organizations, as it directly impacts productiv...
In regions lacking medically certified causes of death, verbal autopsy (VA) is a critical and wide...
The widespread adoption of Artificial Intelligence (AI) has been driven by significant advances in...
Large language models (LLMs) have achieved impressive performance across various domains. However,...
Large Language Models (LLMs) have demonstrated human-like capabilities in language comprehension a...
Obtaining accurate transition state (TS) energies is a bottleneck in computational screening of co...
We present JointDiT, a diffusion transformer that models the joint distribution of RGB and depth. ...
Computing has a huge memory problem. The memory system, consisting of multiple technologies at dif...
The proliferation of end devices has led to a distributed computing paradigm, wherein on-device ma...
Large Language Models (LLMs) have brought about revolutionary changes in diverse fields, rendering...
The rapid growth of cloud computing has led to the widespread adoption of heterogeneous virtualized ...
We present a novel hybrid quantum-classical neural network architecture for fraud detection that i...
Artificial Intelligence (AI) models deployed in production frequently face challenges in maintaini...
Generative artificial intelligence (AI), particularly large language models (LLMs), is being rapid...
Unsupervised novelty detection (UND), aimed at identifying novel samples, is essential in fields l...