Risk management in sustainable smart cities governance: A TOE framework
Sustainable smart cities are confronted by technological, organisational and external risks,
making their governance difficult and susceptible to manipulation. Based on a …
making their governance difficult and susceptible to manipulation. Based on a …
Realization of sustainable development goals with disruptive technologies by integrating industry 5.0, society 5.0, smart cities and villages
Significant changes in society were emphasized as being required to achieve Sustainable
Development Goals, a need which was further intensified with the emergence of the …
Development Goals, a need which was further intensified with the emergence of the …
A digital twin smart city for citizen feedback
A digital twin is a digital representation of a physical process, person, place, system or
device. Digital twins were originally designed to improve manufacturing processes using …
device. Digital twins were originally designed to improve manufacturing processes using …
Smartening sustainable development in cities: Strengthening the theoretical linkage between smart cities and SDGs
Abstract In 2015, the United Nations General Assembly set up 17 interlinked global goals
designed to be a blueprint to achieve a better and more sustainable future for all, which are …
designed to be a blueprint to achieve a better and more sustainable future for all, which are …
Greening smart cities: An investigation of the integration of urban natural resources and smart city technologies for promoting environmental sustainability
CX Hui, G Dan, S Alamri, D Toghraie - Sustainable Cities and Society, 2023 - Elsevier
The integration of urban natural resources and smart city technologies as a means to
promote sustainability is investigated in this study using a descriptive-analytical literature …
promote sustainability is investigated in this study using a descriptive-analytical literature …
[HTML][HTML] Smart city governance from an innovation management perspective: Theoretical framing, review of current practices, and future research agenda
Smart city transitions are a fast-proliferating example of urban innovation processes, and
generating the insight required to support their unfolding should be a key priority for …
generating the insight required to support their unfolding should be a key priority for …
Applications of artificial intelligence and machine learning in smart cities
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …
maintain a green environment, improve the economic and living standards of their citizens …
Sentiment analysis of public services for smart society: Literature review and future research directions
S Verma - Government Information Quarterly, 2022 - Elsevier
Businesses use sentiment analysis for market insights to improve performance. Sentiment
analysis application in building a smart society is immense, and there is a need to delineate …
analysis application in building a smart society is immense, and there is a need to delineate …
Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature …
There have recently been intensive efforts aimed at addressing the challenges of
environmental degradation and climate change through the applied innovative solutions of …
environmental degradation and climate change through the applied innovative solutions of …