Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments

A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …

On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments

A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

MM Islam, MK Hasan, S Islam… - CAAI Transactions …, 2024 - Wiley Online Library
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated
disinfection and monitoring has garnered significant attention in recent research. The …

Internet of medical things-based COVID-19 detection in CT images fused with fuzzy ensemble and transfer learning models

C Mahanty, R Kumar, SGK Patro - New Generation Computing, 2022 - Springer
One of the most difficult research areas in today's healthcare industry to combat the
coronavirus pandemic is accurate COVID-19 detection. Because of its low infection miss rate …

An IoT-Based Deep Learning Framework for Real-Time Detection of COVID-19 through Chest X-ray Images

M Karmakar, B Choudhury, R Patowary, A Nag - Computers, 2022 - mdpi.com
Over the next decade, Internet of Things (IoT) and the high-speed 5G network will be crucial
in enabling remote access to the healthcare system for easy and fast diagnosis. In this …

Towards a Unified Pandemic Management Architecture: Survey, Challenges, and Future Directions

S Roy, N Ghosh, N Uplavikar, P Ghosh - ACM Computing Surveys, 2023 - dl.acm.org
The pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) has impacted the economy, health, and society. Emerging strains are making pandemic …

Attaining an IoMT-based health monitoring and prediction: a hybrid hierarchical deep learning model and metaheuristic algorithm

PK Shukla, A Alqahtani, A Dwivedi, N Alqahtani… - Neural Computing and …, 2023 - Springer
Abstract Internet of Medical Things (IoMT) visualizes a network of medical devices and
society adopting wireless communications to enable interchange of healthcare data. IoMT is …

[引用][C] Artificial Intelligence in Libyan Industries: Current State and Future Prospects

M Saleh - Journal of Reproducible Research, 2024 - journalrrsite.com
This paper critically examines the role and future of Artificial Intelligence (AI) in the industrial
sectors of Libya, offering an in-depth analysis of its current adoption, potential growth, and …

FL_GIoT: Federated Learning Enabled Edge-Based Green Internet of Things System: A Comprehensive Survey

JB Awotunde, SN Sur, RG Jimoh, DR Aremu… - IEEE …, 2023 - ieeexplore.ieee.org
In today's world, the importance of the Green Internet of Things (GIoT) in the transformed
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …

An extended deep learning based solution for screening COVID-19 CT-scans

D Pandey, K Pandey - 2022 9th International Conference on …, 2022 - ieeexplore.ieee.org
Due to immense pressure on the medical sector, there is a huge chance of human error in
diagnosing the report of COVID-19 patients. For the detection of COVID-19, many Artificial …