[HTML][HTML] Digital transformation in business and management research: An overview of the current status quo
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 …
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
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 …
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 …
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
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
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 …
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review
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 …
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …
Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
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
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …
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
Smart-cities research has established itself as one of the most dynamic fields in research
today, accommodating scholars from diverse disciplines, including engineering and …
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 …
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …