Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic

Y Himeur, S Al-Maadeed, I Varlamis, N Al-Maadeed… - Systems, 2023 - mdpi.com
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …

Role of fluid dynamics in infectious disease transmission: insights from COVID-19 and other pathogens

S Koley - Trends in Sciences, 2024 - tis.wu.ac.th
The spread of infectious diseases such as COVID-19 depends on complex fluid dynamics
interactions between pathogens and fluid phases, including individual droplets and …

Enhancing road safety through advanced predictive analytics in V2X communication networks

FAM Al-Yarimi - Computers and Electrical Engineering, 2024 - Elsevier
Abstract" SafeRouteX," which stands for" Enhancing Road Safety through Advanced
Predictive Analytics in V2X Communication Networks," is a novel approach to Vehicle-to …

Computational decision-support tools for urban design to improve resilience against COVID-19 and other infectious diseases: A systematic review

L Yang, M Iwami, Y Chen, M Wu, KH van Dam - Progress in planning, 2023 - Elsevier
The COVID-19 pandemic highlighted the need for decision-support tools to help cities
become more resilient to infectious diseases. Through urban design and planning, non …

An IoT Integrated Sensor Technologies for the Enhancement of Hospital Waste Segregation and Management

D Selvakarthi, D Sivabalaselvamani… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
Hospitals create an enormous volume of potentially hazardous trash. Currently, bandages,
plastic papers, wasted pus, syringes, glucose drip bottles, other dangerous medical wastes …

Mobility-as-a-service challenges and opportunities in the post-pandemic

S Paiva, F Mourão - 2021 IEEE Global Conference on Artificial …, 2021 - ieeexplore.ieee.org
In December 2019, the world experienced a pandemic that called into question what we
always took for granted, such as our freedom of movement. Tough restrictions imposed …

Edge detection and object identification for vision enhancement at rescue operations using deep learning techniques

D Selvakarthi, D Sivabalaselvamani… - 2022 International …, 2022 - ieeexplore.ieee.org
In this modern world the rate of occurrence of accidents and military operation in dark and
unpleasant goes on increasing. At this situation the rescue squad faces difficulty in …

Drowsiness detection and accident prevention by using K Nearest Neighbor (KNN) algorithm

L Rahunathan, D Sivabalaselvamani… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
With the advanced technologies, car accidents can be prevented by implementing an
advanced driver drowsiness detection system. This research work has implemented a novel …

A Hybrid Model for Performance Evaluation of Fixed VANETs using Novel 1C3N and Topology-Based Ad-Hoc Routing Protocols with Packet Loss Control Methods

A Tamilarasi, D Sivabalaselvamani… - … Research Journal of …, 2023 - asianrepo.org
Vehicular ad-hoc Networks (VANETs) play a significant role in Intelligent Transportation
Systems (ITS) Design. Intelligent Transportation Systems are the first mandatory …