[HTML][HTML] Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

M Chen, C Claramunt, A Çöltekin, X Liu, P Peng… - Earth-Science …, 2023 - Elsevier
In recent decades, we have witnessed great advances on the Internet of Things, mobile
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …

Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022 - ieeexplore.ieee.org
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

High-sensitivity and environmentally friendly humidity sensors deposited with recyclable green microspheres for wireless monitoring

J Yang, L Feng, Y Chen, L Feng, J Lu… - … Applied Materials & …, 2022 - ACS Publications
The reliable, high-sensitive, wireless, and affordable requirements for humidity sensors are
needed in high-precision measurement fields. Quartz crystal microbalance (QCM) based on …

Internet of things concept in the context of the COVID-19 pandemic: a multi-sensor application design

A Lavric, AI Petrariu, PM Mutescu, E Coca, V Popa - Sensors, 2022 - mdpi.com
In this paper, we present the design, development and implementation of an integrated
system for the management of COVID-19 patient, using the LoRaWAN communication …

Mobile sensors based platform of Human Physical Activities Recognition for COVID-19 spread minimization

AW Sardar, F Ullah, J Bacha, J Khan, F Ali… - Computers in biology and …, 2022 - Elsevier
The development of smartphones technologies has determined the abundant and prevalent
computation. An activity recognition system using mobile sensors enables continuous …

On general data protection regulation vulnerabilities and privacy issues, for wearable devices and fitness tracking applications

I Ioannidou, N Sklavos - Cryptography, 2021 - mdpi.com
Individual users' sensitive information, such as heart rate, calories burned, or even sleep
patterns, are casually tracked by smart wearable devices to be further processed or …

Transforming construction health and safety management during COVID-19 pandemic using innovative technologies: PLS-SEM approach

YT Kum, JBH Yap, YL Lew, WP Lee - Engineering, Construction and …, 2024 - emerald.com
Purpose This study aims to investigate technology-based health and safety (H&S)
management to control the spread of disease on construction sites using a partial least …

COVIDSAVIOR: A novel sensor-fusion and deep learning based framework for virus outbreaks

S Pandya, A Sur, N Solke - Frontiers in public health, 2021 - frontiersin.org
The presented deep learning and sensor-fusion based assistive technology (Smart
Facemask and Thermal scanning kiosk) will protect the individual using auto face-mask …

Survey of transfer learning approaches in the machine learning of digital health sensing data

L Chato, E Regentova - Journal of Personalized Medicine, 2023 - mdpi.com
Machine learning and digital health sensing data have led to numerous research
achievements aimed at improving digital health technology. However, using machine …

A comprehensive review on applications of Raspberry Pi

SE Mathe, HK Kondaveeti, S Vappangi… - Computer Science …, 2024 - Elsevier
Raspberry Pi is an invaluable and popular prototyping tool in scientific research for
experimenting with a wide variety of ideas, ranging from simple to complex projects. This …