Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Resume screening is a critical yet time-intensive process in talent acquisition, requiring recruit...
Remote tracking systems play a critical role in applications such as IoT, monitoring, surveillance...
The reproduction of state-of-the-art multimodal LLM pre-training faces barriers at every stage of ...
Change detection has essential significance for the region's development, in which pseudo-changes ...
This integrative literature review examines the evolving role of artificial intelligence (AI) and ma...
Artificial intelligence (AI) is revolutionizing nursing by enhancing decision-making, patient monito...
BACKGROUND: Machine learning (ML) models can enhance patient-nurse assignments in healthcare organis...
Modern sensing and monitoring applications typically consist of sources transmitting updates of di...
Quantum generative models offer a promising new direction in machine learning by leveraging quantu...
Understanding the representation shift on Vision Language Models like CLIP under different augment...
This paper presents a comparative analysis of distributed training strategies for large-scale neur...
The widespread adoption of Large Language Models (LLMs) has enabled diverse applications with very...
Large-scale machine learning (ML) models are increasingly being used in critical domains like educ...
Large language models accumulate vast knowledge during pre-training, yet the dynamics governing th...
The task of LiDAR-based 3D Open-Vocabulary Detection (3D OVD) requires the detector to learn to de...
Histopathology slide digitization introduces scanner-induced domain shift that can significantly i...
As Large Language Models (LLMs) show their capabilities across various applications, training cust...
Deterministic communications are essential for industrial automation, ensuring strict latency requ...
Class-incremental Learning (CIL) enables the model to incrementally absorb knowledge from new clas...
Developing computer vision for high-content screening is challenging due to various sources of dis...
Vision foundation models (FMs) are accelerating the development of digital pathology algorithms an...