Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral resolutio...
Airborne particulate matter (PM) has become a global environmental issue. This PM has harmful effect...
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for COVID-19, is a com...
Deep learning is widely used in the medical field owing to its high accuracy in medical image classi...
The new advances in deep learning methods have influenced many aspects of scientific research, inclu...
Monitoring of airborne pollen concentrations provides an important source of information for the glo...
Supporting the development of a child with autism is a multi-profile therapeutic work on disturbed a...
The molecular docking simulation is a key computational tool in modern drug discovery research that ...
The risk of pollen-induced allergies can be determined and predicted based on data derived from poll...
BACKGROUND: The emergence of SARS-CoV-2 in late 2019 and its subsequent spread worldwide continues t...
Conventional respiration measurement requires a separate device and/or can cause discomfort, so it i...
Video-based motion analysis recently appeared to be a promising approach in neonatal intensive care ...
The unique physical embodiment of robots enables physical contact between machines and humans. Since...
The bans on visiting nursing homes during the COVID-19 pandemic, while intended to protect residents...
The healthcare sector is currently undergoing a major transformation due to the recent advances in d...
Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop ...
Google health-based Knowledge Panels were designed to provide users with high-quality basic medical ...
The opportunistic exchange of information between vehicles can significantly contribute to reducing ...
The fact that the transmission and processing of visual information in the brain takes time presents...
The paper focuses on the synchronization problem for a class of coupled neural networks with impulsi...
In this paper, we introduce a novel algorithm that aims to estimate chromosomes' structure from thei...