An approach to forecast impact of Covid‐19 using supervised machine learning model DOI Open Access
Senthilkumar Mohan,

A John,

Ahed Abugabah

и другие.

Software Practice and Experience, Год журнала: 2021, Номер 52(4), С. 824 - 840

Опубликована: Апрель 1, 2021

Abstract The Covid‐19 pandemic has emerged as one of the most disquieting worldwide public health emergencies 21st century and thrown into sharp relief, among other factors, dire need for robust forecasting techniques disease detection, alleviation well prevention. Forecasting been powerful statistical methods employed world over in various disciplines detecting analyzing trends predicting future outcomes based on which timely mitigating actions can be undertaken. To that end, several machine learning have harnessed depending upon analysis desired availability data. Historically speaking, predictions thus arrived at short term country‐specific nature. In this work, multimodel technique is called EAMA related parameters long‐term both within India a global scale proposed. This proposed hybrid model well‐suited to past present For study, two datasets from Ministry Health & Family Welfare Worldometers, respectively, exploited. Using these datasets, data outlined, observed predicted being very similar real‐time values. experiment also conducted statewise countrywise across it included Appendix.

Язык: Английский

Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study DOI Open Access
Abdelhafid Zeroual, Fouzi Harrou, Abdelkader Dairi

и другие.

Chaos Solitons & Fractals, Год журнала: 2020, Номер 140, С. 110121 - 110121

Опубликована: Июль 15, 2020

Язык: Английский

Процитировано

446

A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids DOI
Sheraz Aslam, Herodotos Herodotou, Syed Muhammad Mohsin

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2021, Номер 144, С. 110992 - 110992

Опубликована: Апрель 3, 2021

Язык: Английский

Процитировано

407

A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization DOI Open Access
Majid Nour, Zafer Cömert, Kemal Polat

и другие.

Applied Soft Computing, Год журнала: 2020, Номер 97, С. 106580 - 106580

Опубликована: Июль 27, 2020

Язык: Английский

Процитировано

306

An intelligent framework using disruptive technologies for COVID-19 analysis DOI Open Access
Mohamed Abdel‐Basset, Victor Chang, Nada A. Nabeeh

и другие.

Technological Forecasting and Social Change, Год журнала: 2020, Номер 163, С. 120431 - 120431

Опубликована: Окт. 29, 2020

Язык: Английский

Процитировано

240

A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic DOI Open Access

Adarsh Kumar,

Kriti Sharma, Harvinder Singh

и другие.

Future Generation Computer Systems, Год журнала: 2020, Номер 115, С. 1 - 19

Опубликована: Сен. 3, 2020

Язык: Английский

Процитировано

233

The relationship between air pollution and COVID-19-related deaths: An application to three French cities DOI Open Access
Cosimo Magazzino, Marco Mele, Nicolas Schneider

и другие.

Applied Energy, Год журнала: 2020, Номер 279, С. 115835 - 115835

Опубликована: Сен. 12, 2020

Язык: Английский

Процитировано

210

Industry 5.0: Potential Applications in COVID-19 DOI
Mohd Javaid, Abid Haleem, Ravi Pratap Singh

и другие.

Journal of Industrial Integration and Management, Год журнала: 2020, Номер 05(04), С. 507 - 530

Опубликована: Окт. 1, 2020

Industry 5.0, the fifth industrial revolution, consists of smart digital information and manufacturing technologies. This revolution generates effective processes makes rapid improvement in industries healthcare. Solutions to challenges posed by COVID-19 pandemic can be identified with deployment 5.0-based It helps provide personalized therapy treatment patients if a detailed patient’s is available. The aim 5.0 technologies create healthcare environment real-time capabilities. During pandemic, these remote monitoring system paper identifies studies major helpful for pandemic. supportive features are discussed diagrammatically. Finally, we studied significant faced context literature revealed that this technological innovation allows high personalization level fulfill personal specific demands patient doctors. These play role making life doctors better. Further, use technology focus on critically infected proper appropriate regarding their better treatment. Moreover, help medical students required training during outbreak.

Язык: Английский

Процитировано

201

Distance learning during the COVID-19 pandemic: School closure in Indonesia DOI
Budi Azhari, Iwan Fajri

International Journal of Mathematical Education in Science and Technology, Год журнала: 2021, Номер 53(7), С. 1934 - 1954

Опубликована: Фев. 3, 2021

This study investigates the distance learning process of teachers during school closure due to COVID-19's impact. research focuses on introduction learning, obstacles faced by and approaches addressing different hurdles in implementation learning. collected data from mathematics science spread junior senior high schools Aceh Province, Indonesia. Data were through a questionnaire 353 interview 6 get in-depth information related focus this study. The results revealed that could not directly utilize various Information Communication Technology (ICT) devices online platforms are widely available supporting implementation, either ability teachers, parents' economic factors, limited internet access, absence guidance. However, over time, teacher can independently adapt environmental conditions characteristics students carrying out

Язык: Английский

Процитировано

198

Applications of artificial intelligence in battling against covid-19: A literature review DOI Open Access

Mohammad-H. Tayarani N.

Chaos Solitons & Fractals, Год журнала: 2020, Номер 142, С. 110338 - 110338

Опубликована: Окт. 3, 2020

Язык: Английский

Процитировано

196

Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare DOI Open Access

Qiang Wang,

Min Su, Min Zhang

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2021, Номер 18(11), С. 6053 - 6053

Опубликована: Июнь 4, 2021

Integration of digital technologies and public health (or healthcare) helps us to fight the Coronavirus Disease 2019 (COVID-19) pandemic, which is biggest crisis humanity has faced since 1918 Influenza Pandemic. In order better understand healthcare, this work conducted a systematic comprehensive review with purpose helping combat COVID-19 pandemic. This paper covers background information research overview summarizes its applications challenges in finally puts forward prospects healthcare. First, main concepts, key development processes, common application scenarios integrating healthcare were offered part information. Second, bibliometric techniques used analyze output, geographic distribution, discipline collaboration network, hot topics before after We found that pandemic greatly accelerated on integration Third, cases China, EU U.S using collected analyzed. Among these technologies, big data, artificial intelligence, cloud computing, 5G are most effective weapons Applications show play an irreplaceable role controlling spread COVID-19. By comparing three regions, we contend China's success avoiding second wave integrate large scale without hesitation. Fourth, field summarized. These mainly come from four aspects: data delays, fragmentation, privacy security, security vulnerabilities. Finally, study provides future addition, also provide policy recommendations for other countries use technology

Язык: Английский

Процитировано

186