Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
The use of robotics is becoming widespread in healthcare. However, little is known about how robotics can affect the relationship with patients during an emergency or how it impacts clinicians in their organization and work. As a hospital responding to the consequences of the COVID-19 pandemic "ASST dei Sette Laghi" (A7L) in Varese, Italy, had to react quickly to protect its staff from infection w...
Inhalation exposure to the resuspended biological particles from public places can cause adverse effects on human health. In this work, carpet dust samples were first collected from twenty example conference and hotel rooms by a vacuum cleaner. A bipedal robot was then used to simulate children's walking with three different shoes (cotton socks, PVC shoes and EVA shoes) in a hotel room. The partic...
The pandemic of COVID-19 is continuing to wreak havoc in 2021, with at least 170 million victims around the world. Healthcare systems are overwhelmed ...
Wearable assistive robotics is an emerging technology with the potential to assist humans with sensorimotor impairments to perform daily activities. T...
The brain-computer interface (BCI) connects the brain and the external world through an information transmission channel by interpreting the physiolog...
Along with the rapid development of sensing systems and wireless transmission technology, the scope of application of the IoT has substantially increa...
The locomotion performance of the current legged miniature robots remains inferior compared to even the most simple insects. The inferiority has led r...
Quadruped robots are receiving great attention as a new means of transportation for various purposes, such as military, welfare, and rehabilitation sy...
In this paper, we report our tFold framework's performance on the inter-residue contact prediction task in the 14th Critical Assessment of protein Str...
HIV molecular epidemiology estimates the transmission patterns from clustering genetically similar viruses. The process involves connecting geneticall...
In order to explore the quality management efficiency of applying big data and artificial intelligence in nursing quality index, a method of building ...
Adding haptic feedback has been reported to improve the outcome of minimally invasive robotic surgery. In this study, we seek to determine whether an ...
Gas turbine is widely used because of its advantages of fast start and stop, no pollution, and high thermal efficiency. However, the working environme...
The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's pri...
Classification is a fundamental task for airborne laser scanning (ALS) point cloud processing and applications. This task is challenging due to outdoo...
COVID-19 is one of the biggest challenges that human beings have faced recently. Many researchers have proposed different prediction methods for estab...
The traditional cable-based geophone network is an inefficient way of seismic data transmission owing to the related cost and weight. The future of oi...
The presence of computation and transmission-variable time delays within a robotic control loop is a major cause of instability, hindering safe human-...
Soil-transmitted helminths (STH) are the most prevalent pathogens among the group of neglected tropical diseases (NTDs). The Kato-Katz technique is th...
Although the combination of Airborne Laser Scanning (ALS) data and optical imagery and machine learning algorithms were proved to improve the estimati...