Machine learning applications for COVID-19 outbreak management

A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …

Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations

Q Rafique, A Rehman, MS Afghan, HM Ahmad… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …

COVID-19 and sustainable development goals: A bibliometric analysis and SWOT analysis in Malaysian context

M Nilashi, RA Abumalloh, S Mohd, SNFS Azhar… - Telematics and …, 2023 - Elsevier
The COVID-19 crisis has been a core threat to the lives of billions of individuals over the
world. The COVID-19 crisis has influenced governments' aims to meet UN Sustainable …

Unsupervised domain adaptation for Covid-19 classification based on balanced slice Wasserstein distance

J Gu, X Qian, Q Zhang, H Zhang, F Wu - Computers in Biology and …, 2023 - Elsevier
Covid-19 has swept the world since 2020, taking millions of lives. In order to seek a rapid
diagnosis of Covid-19, deep learning-based Covid-19 classification methods have been …

YOLOv5s-CBAM-DMLHead: A lightweight identification algorithm for weedy rice (Oryza sativa f. spontanea) based on improved YOLOv5

C Yuan, T Liu, F Gao, R Zhang, X Seng - Crop Protection, 2023 - Elsevier
Rice (Oryza sativa L.) is one of the essential food sources for people, with rice farms
producing about 480 million tons of refined rice annually. In recent years, with the …

A novel snore detection and suppression method for a flexible patch with MEMS microphone and accelerometer

C He, J Tan, X Jian, G Zhong, H Wu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Sleep apnea impacts more and more people all over the world, and obstructive sleep apnea
of which is the most frequent. Hence, research on snoring detection and related suppression …

A review on lung disease recognition by acoustic signal analysis with deep learning networks

AH Sfayyih, N Sulaiman, AH Sabry - Journal of big Data, 2023 - Springer
Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

Simulation-based learning for computer and networking teaching: A systematic literature review and bibliometric analysis

S Asadi, J Allison, M Khurana, M Nilashi - Education and Information …, 2024 - Springer
Simulation-based learning (SBL) offers an extensive variety of chances to practice complex
computer and networking skills in higher education and to implement diverse kinds of …

A bibliometric analysis of personal protective equipment and COVID-19 researches

Y Zhang, M Hu, J Wang, P Wang, P Shi… - Frontiers in Public …, 2022 - frontiersin.org
COVID-19, which occurred at the end of December 2019, has evolved into a global public
health threat and affects every aspect of human life. COVID-19's high infectivity and mortality …

A survey on machine learning and internet of medical things-based approaches for handling COVID-19: Meta-analysis

SS Band, S Ardabili, A Yarahmadi… - Frontiers in Public …, 2022 - frontiersin.org
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19,
and production of drugs and vaccines are some of the applications that have made it …