Smart technologies driven approaches to tackle COVID-19 pandemic: a review
المؤلف | Khan, Hameed |
المؤلف | Kushwah, K. K. |
المؤلف | Singh, Saurabh |
المؤلف | Urkude, Harshika |
المؤلف | Maurya, Muni Raj |
المؤلف | Sadasivuni, Kishor Kumar |
تاريخ الإتاحة | 2023-10-08T08:41:45Z |
تاريخ النشر | 2021 |
اسم المنشور | 3 Biotech |
المصدر | Scopus |
الرقم المعياري الدولي للكتاب | 2190572X |
الملخص | The novel coronavirus infection (COVID-19) is not diminishing without vaccine, but it impinges on human safety and economy can be minimized by adopting smart technology to combat pandemic situation. The implementation of new innovations and novel tactics has proven to be effective in curbing the risk of COVID-19. The present study covers the role of smart technology in mitigating the spread of COVID-19 with specific focus on advancement in the field of drone, robotics, artificial intelligence (AI), mask, and sensor technology. The findings shed light on the robotics and drone technology-driven approaches that have been applied for assisting health system, surveillance, and disinfection process, etc. The AI technology strategies and framework is highlighted in terms of bulk data computing, predicting infection threats, providing medical assistance, and analyzing diagnosis results. Besides this, the technological shift in mask and sensor technology during the pandemic have been illustrated, which includes fabrication method like 3D printing and optical sensing, respectively. Furthermore, the strength, weakness, opportunities, and possible threats that have been shaped by the rigorous implementation of these technologies are also covered in detail. |
راعي المشروع | This work was carried by the RRC grant # RRC-2-063 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
اللغة | en |
الناشر | Springer Science and Business Media Deutschland GmbH |
الموضوع | Artificial intelligence COVID-19 Drone Mobile apps Robot Sensor |
النوع | Article Review |
رقم العدد | 2 |
رقم المجلد | 11 |
الملفات في هذه التسجيلة
الملفات | الحجم | الصيغة | العرض |
---|---|---|---|
لا توجد ملفات لها صلة بهذه التسجيلة. |
هذه التسجيلة تظهر في المجموعات التالية
-
الأبحاث [1378 items ]
-
أبحاث فيروس كورونا المستجد (كوفيد-19) [835 items ]
-
الهندسة الميكانيكية والصناعية [1396 items ]