[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-based systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

S Sarker, L Jamal, SF Ahmed, N Irtisam - Robotics and autonomous …, 2021 - Elsevier
The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st
century, probably the most significant global crisis after the second world war. The rapid …

SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2

P Nagrath, R Jain, A Madan, R Arora, P Kataria… - Sustainable cities and …, 2021 - Elsevier
Face mask detection had seen significant progress in the domains of Image processing and
Computer vision, since the rise of the Covid-19 pandemic. Many face detection models have …

Indoor air quality improvement in COVID-19 pandemic

N Agarwal, CS Meena, BP Raj, L Saini, A Kumar… - Sustainable Cities and …, 2021 - Elsevier
Introduction The advent of COVID-19 has im**ed millions of people. The increased
concern of the virus spread in confined spaces due to meteorological factors has …

A blockchain‐and artificial intelligence‐enabled smart IoT framework for sustainable city

I Ahmed, Y Zhang, G Jeon, W Lin… - … Journal of Intelligent …, 2022 - Wiley Online Library
Advancements in digital technologies, such as the Internet of Things (IoT), fog/edge/cloud
computing, and cyber‐physical systems have revolutionized a broad spectrum of smart city …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arxiv preprint arxiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review

YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …

A vision-based social distancing and critical density detection system for COVID-19

D Yang, E Yurtsever, V Renganathan, KA Redmill… - Sensors, 2021 - mdpi.com
Social distancing (SD) is an effective measure to prevent the spread of the infectious
Coronavirus Disease 2019 (COVID-19). However, a lack of spatial awareness may cause …

What determines urban resilience against COVID-19: City size or governance capacity?

Z Chu, M Cheng, M Song - Sustainable cities and society, 2021 - Elsevier
This study analyzed the effects of urban governance and city size on COVID-19 prevention
and control measures. Based on real-time data in 276 prefecture-level Chinese cities, we …

An internet-of-medical-things-enabled edge computing framework for tackling COVID-19

MA Rahman, MS Hossain - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Capturing psychological, emotional, and physiological states, especially during a pandemic,
and leveraging the captured sensory data within the pandemic management ecosystem is …