[HTML][HTML] Digital transformation in business and management research: An overview of the current status quo

S Kraus, S Durst, JJ Ferreira, P Veiga, N Kailer… - International journal of …, 2022 - Elsevier
It is no surprise that research on digital transformation (DT) has raised vast interest among
academics in recent decades. Countries, cities, industries, companies, and people all face …

Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review

A Heidari, NJ Navimipour, M Unal - Sustainable Cities and Society, 2022 - Elsevier
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …

Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China

L Zhang, R Mu, Y Zhan, J Yu, L Liu, Y Yu… - Science of the Total …, 2022 - Elsevier
Improving energy efficiency and lowering carbon emissions are of great importance to
realize the “dual carbon” goal of carbon peak and carbon neutrality. Digital economy is a …

Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Smartening sustainable development in cities: Strengthening the theoretical linkage between smart cities and SDGs

S Blasi, A Ganzaroli, I De Noni - Sustainable Cities and Society, 2022 - Elsevier
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 …

Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review

M Khalil, AS McGough, Z Pourmirza… - … Applications of Artificial …, 2022 - Elsevier
The building sector accounts for 36% of the total global energy usage and 40% of
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …

Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues

A Heidari, N Jafari Navimipour, M Unal… - ACM Computing …, 2023 - dl.acm.org
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

[HTML][HTML] Machine learning for spatial analyses in urban areas: a scoping review

Y Casali, NY Aydin, T Comes - Sustainable cities and society, 2022 - Elsevier
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

Information Management in Smart Cities: Turning end users' views into multi-item scale development, validation, and policy-making recommendations

MD Lytras, A Visvizi, PK Chopdar, A Sarirete… - International Journal of …, 2021 - Elsevier
Smart-cities research has established itself as one of the most dynamic fields in research
today, accommodating scholars from diverse disciplines, including engineering and …

[HTML][HTML] A systematic review of energy management strategies for resource allocation in the cloud: Clustering, optimization and machine learning

S Jayaprakash, MD Nagarajan, RP Prado… - Energies, 2021 - mdpi.com
Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …