Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Accurate origin-destination (OD) passenger flow prediction is crucial for enhancing metro system e...
Text-to-image diffusion model alignment is critical for improving the alignment between the genera...
Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway w...
In-memory computing (IMC) offloads parts of the computations to memory to fulfill the performance ...
This study examines a home healthcare scheduling and routing problem (HHSRP) with a lunch break re...
Adding Object into images based on text instructions is a challenging task in semantic image editi...
Back propagation (BP) is the default solution for gradient computation in neural network training....
Quantum computers are promising powerful computers for solving complex problems, but access to rea...
Many applications of cyber-physical systems require real-time communication: manufacturing, automo...
OBJECTIVE: The objective of our research is to conduct a comprehensive review that aims to systemati...
Task-oriented semantic communication systems have emerged as a promising approach to achieving eff...
Vision Transformers (ViTs) have outperformed traditional Convolutional Neural Networks (CNN) acros...
The year 2022 marks a watershed in technology, and arguably in human history, with the release of ...
In-memory computing (IMC) architecture emerges as a promising paradigm, improving the energy effic...
In ports, a variety of tasks are carried out, and scheduling these tasks is crucial due to its sig...
Despite the remarkable success of deep neural networks (DNNs) in computer vision, they fail to rem...
Infrared (IR) dyes, especially those within the near-infrared (NIR) spectrum, offer substantial ad...
The decomposition of high-density surface electromyography (HD-sEMG) signals into motor unit disch...
Decoding nervous system activity is a key challenge in neuroscience and neural interfacing. In thi...
This paper explores the performance optimization of out-of-core (OOC) Cholesky factorization on sh...
We present the first study of the Public Register of Licensed Persons and Registered Institutions ...