ABSTRACT
The COVID-19 pandemic has resulted in a worldwide health crisis that has affected all facets of human existence and has brought the world to a halt. The most important pre-requisite for COVID-19 diagnosis is early detection. Machine learning algorithms can help in speeding up the process while saving money and effort. Following a comprehensive background study on the various medical imaging options available, it was discovered that there are few surveys focusing on COVID-19 identification based on Lung Ultrasound. The feasibility of lung ultrasound is visible from the survey. In this paper, huge efforts have been undertaken to study the road-map of lung ultrasound markers for detecting COVID-19. The detection of abnormal A lines, B lines and pleural lines or traces in ultrasound images will aid in the rapid identification and control of the ongoing COVID- 19 epidemic. The numerous deep learning models will make diagnosis easier and more accurate, assisting doctors and front-line employees in this pandemic emergency. © 2022 IEEE.
ABSTRACT
Virtual Innovation & Research Acceleration Lab (VIRAL) is an ongoing teaching pedagogy project between SRM Institute of Science & Technology, Ramapuram Campus, Chennai and MIT Square, London. In the higher education sector, the year 2020 posed new obstacles. All three waves of the COVID-19 pandemic necessitated a shift in the mentality of educators, teachers, and students from all over the world. The concerns and obstacles associated with higher educational institutions' rapid and abrupt transition from face-to-face learning to technology-assisted virtual learning. This study examines the effectiveness of Virtual Innovation & Research Acceleration Labs (VIRAL) teaching in developing Higher Order Thinking Skills (HOTS) among engineering students. The researchers employed a Quasi-Experimental method. The sample consisted of 98 Engineering students who have regular laboratory classes as part of their curriculum. A group consisting of 49 students was selected as a control group and another group was selected as an experimental group randomly. The result of the study indicates that the experimental group has a greater mean of higher-order thinking skills than the control group. Thus it is concluded that the virtual lab teaching method for research and innovation has a significant positive effect in enhancing higher thinking skills in engineering. The study also has implications for facilitation in the higher order of inquiry processes and improvement of slow learners.