Resilience of Smart Cities to the Consequences of the COVID-19 Pandemic in the Context of Sustainable Development

A Kuzior, D Krawczyk, P Brożek, O Pakhnenko… - Sustainability, 2022 - mdpi.com
The development of digital technologies is one of the factors influencing the cities' readiness
for the COVID-19 breakout. The purpose of this article is to assess cities' resilience to the …

Innovation trajectories for a Society 5.0

F De Felice, M Travaglioni, A Petrillo - Data, 2021 - mdpi.com
Big Data, the Internet of Things, and robotic and augmented realities are just some of the
technologies that belong to Industry 4.0. These technologies improve working conditions …

The dual role of artificial intelligence in developing smart cities

ME Zamponi, E Barbierato - Smart Cities, 2022 - mdpi.com
Defining smart city pillars, and their nature and essence, continues to be debated in the
scientific literature. The vast amount of information collected by electronic devices, often …

Drivers behind the public perception of artificial intelligence: insights from major Australian cities

T Yigitcanlar, K Degirmenci, T Inkinen - AI & society, 2022 - Springer
Artificial intelligence (AI) is not only disrupting industries and businesses, particularly the
ones have fallen behind the adoption, but also significantly impacting public life as well. This …

Mapping two decades of smart home research: A systematic scientometric analysis

W Li, T Yigitcanlar, A Liu, I Erol - Technological Forecasting and Social …, 2022 - Elsevier
Technological advancements such as information and communication technologies (ICTs),
artificial intelligence (AI), internet-of-things (IoT), and the increasing popularity of the smart …

The making of responsible innovation and technology: An overview and framework

W Li, T Yigitcanlar, W Browne, A Nili - Smart Cities, 2023 - mdpi.com
In an era in which technological advancements have a profound impact on our cities and
societies, it is crucial to ensure that digital technology is not only driven by technological …

[HTML][HTML] Evaluation of machine learning-based models for prediction of clinical deterioration: A systematic literature review

S Jahandideh, G Ozavci, BW Sahle, AZ Kouzani… - International Journal of …, 2023 - Elsevier
Background and objective Early identification of patients at risk of deterioration can prevent
life-threatening adverse events and shorten length of stay. Although there are numerous …

Public perceptions on application areas and adoption challenges of AI in urban services

T Yigitcanlar, RYM Li, T Inkinen… - Emerging Sciences …, 2022 - eprints.qut.edu.au
Artificial intelligence (AI) deployment is exceedingly relevant to local governments, for
example, in planning and delivering urban services. AI adoption in urban services, however …

[图书][B] AI for the sustainable development goals

HS Sætra - 2022 - taylorfrancis.com
What is artificial intelligence? What are the Sustainable Development Goals (SDGs)? How
does AI affect the SDGs? Artificial Intelligence has a real impact on our lives and on our …

Machine learning in construction and demolition waste management: Progress, challenges, and future directions

Y Gao, J Wang, X Xu - Automation in Construction, 2024 - Elsevier
The application of machine learning contributes to intelligent and efficient management of
construction and demolition waste, leading to a reduction in waste generation and an …