Responsible ai pattern catalogue: A collection of best practices for ai governance and engineering

Q Lu, L Zhu, X Xu, J Whittle, D Zowghi… - ACM Computing …, 2023 - dl.acm.org
Responsible AI is widely considered as one of the greatest scientific challenges of our time
and is key to increase the adoption of AI. Recently, a number of AI ethics principles …

[HTML][HTML] Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey

Y Himeur, S Al-Maadeed, N Almaadeed… - Sustainable cities and …, 2022 - Elsevier
Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential
role in controlling and slowing down the spread of the virus in smart cities. To ensure the …

Responsible ai pattern catalogue: a multivocal literature review

Q Lu, L Zhu, X Xu, J Whittle, D Zowghi… - arXiv preprint arXiv …, 2022 - arxiv.org
Responsible AI has been widely considered as one of the greatest scientific challenges of
our time and the key to increase the adoption of AI. A number of AI ethics principles …

Motion-compensated online object tracking for activity detection and crowd behavior analysis

AS Patel, R Vyas, OP Vyas, M Ojha, V Tiwari - The Visual Computer, 2023 - Springer
It is a nontrivial task to manage crowds in public places and recognize unacceptable
behavior (such as violating social distancing norms during the COVID-19 pandemic). In such …

A social distance estimation and crowd monitoring system for surveillance cameras

M Al-Sa'd, S Kiranyaz, I Ahmad, C Sundell, M Vakkuri… - Sensors, 2022 - mdpi.com
Social distancing is crucial to restrain the spread of diseases such as COVID-19, but
complete adherence to safety guidelines is not guaranteed. Monitoring social distancing …

Real-time human action recognition using raw depth video-based recurrent neural networks

A Sánchez-Caballero, D Fuentes-Jiménez… - Multimedia Tools and …, 2023 - Springer
This work proposes and compare two different approaches for real-time human action
recognition (HAR) from raw depth video sequences. Both proposals are based on the …

A comprehensive analysis of privacy protection techniques developed for COVID-19 pandemic

A Majeed, SO Hwang - IEEE Access, 2021 - ieeexplore.ieee.org
Since the emergence of coronavirus disease–2019 (COVID-19) outbreak, every country has
implemented digital solutions in the form of mobile applications, web-based frameworks …

Smart and sentient retail high streets

PM Torrens - Smart Cities, 2022 - mdpi.com
Here, we examine the extension of smart retailing from the indoor confines of stores,
outward to high streets. We explore how several technologies at the union of retail …

IoT Capabilities in Regaining Travelers' Confidence Through Touchless Travel: An Empirical Study for the Revival of the Airline Sector

P Chand, PK Tarei, RK Gangadhari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the past few years, the airline and travel industries have suffered unprecedented crisis
during COVID-19 pandemic. With the gradual reopening of economies, airline companies …

Collaborative federated learning framework to minimize data transmission for AI-enabled video surveillance

N Sugianto, D Tjondronegoro, G Sorwar - Information Technology & …, 2024 - emerald.com
Purpose This study proposes a collaborative federated learning (CFL) framework to address
personal data transmission and retention issues for artificial intelligence (AI)-enabled video …