Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
Defective insulator detection is an essential part of transmission line inspections based on unmanned aerial vehicles. It can timely discover insulator defects and repair them to avoid a power transmission accident. The detection speed of defective insulators based on artificial intelligence directly affects inspection efficiency. To improve the detection speed of defective insulators based on YOL...
By the method of documentation and logical analysis, based on the data, based on logic and based on the knowledge of three kinds of artificial intelligence in the sports education, the intelligent learning system feedback delay are studied, combined with mobile communication which led to the artificial intelligence online sports games teaching, pattern recognition, and virtual technology combined ...
Among kinds of flexible tactile sensors, piezoelectric tactile sensor has the advantage of fast response for dynamic force detection. However, it suff...
In this paper, a comprehensive quantitative and biological neural network optimization model of sports industry structure is thoroughly studied and an...
Electronic skin for robotic tactile sensing has been studied extensively over the past years, yet practical applications of electronic skin for the gr...
Unmanned aerial vehicle (UAV) technology, artificial intelligence, and the relevant hardware can be used for monitoring wild animals. However, existin...
Osteoporosis is still a worldwide problem, particularly due to associated fragility fractures. Patients at risk of fracture are currently detected usi...
Three-dimensional protein structure prediction is one of the major challenges in bioinformatics. According to recent research findings, real-valued di...
Examination cheating activities like whispering, head movements, hand movements, or hand contact are extensively involved, and the rectitude and worth...
This study proposes a new superior hybrid algorithm, which is the particle swarm optimization (PSO) and gene algorithm (GA)-based neural network to pr...
Amphibious robots can undertake various tasks in terrestrial and aquatic environments for their superior environmental compatibility. However, the exi...
This work addresses quasisynchronization (QS) of the master-slave (MS) neural networks (NNs) with mismatched parameters. The logarithmic quantizer and...
Insulators identification and their missing defect detection are of paramount importance for the intelligent inspection of high-voltage transmission l...
A flow pattern identification method combining ultrasonic transmission attenuation with an ultrasonic reflection echo is proposed for oil-water two-ph...
Advances in artificial intelligence for computer vision hold great promise for increasing the scales at which ecological systems can be studied. The d...
We used a robotic gantry to test the hypothesis that tandem running in the ant Temnothorax albipennis can be successful in the absence of trail laying...
Artificial intelligence (AI) techniques have been considered effective technologies in diagnosing and breaking the transmission chain of COVID-19 dise...
This paper introduces a Hexa parallel robot and obstacle collision detection method based on dynamic modeling and a computer vision system. The proces...
COVID-19 is a contagious disease; so, predicting its future infections in a provincial region requires the consideration of the related data (i.e., ra...
Membrane contact site (MCS)-mediated organelle interactions play essential roles in the cell. Quantitative analysis of MCSs reveals vital clues for ce...