[HTML][HTML] The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations

C Freitag, M Berners-Lee, K Widdicks, B Knowles… - Patterns, 2021 - cell.com
In this paper, we critique ICT's current and projected climate impacts. Peer-reviewed studies
estimate ICT's current share of global greenhouse gas (GHG) emissions at 1.8%–2.8% of …

[HTML][HTML] A survey on IoT-enabled smart grids: emerging, applications, challenges, and outlook

A Goudarzi, F Ghayoor, M Waseem, S Fahad, I Traore - Energies, 2022 - mdpi.com
Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …

Digitalization transformation and ESG performance: Evidence from China

Y Lu, C Xu, B Zhu, Y Sun - Business Strategy and the …, 2024 - Wiley Online Library
The mechanisms underlying the relationship between firms' digitalization transformation and
environmental, social, and governance (ESG) are underexplored. Using a sample of …

Internet of medical things (IoMT): Overview, emerging technologies, and case studies

S Razdan, S Sharma - IETE technical review, 2022 - Taylor & Francis
In the Internet of Medical Things (IoMT), the Internet of Things (IoT) is integrated with medical
devices, enabling improved patient comfort, cost-effective medical solutions, quick hospital …

Tackling climate change with machine learning

D Rolnick, PL Donti, LH Kaack, K Kochanski… - ACM Computing …, 2022 - dl.acm.org
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 …

Deep learning challenges and prospects in wireless sensor network deployment

Y Qiu, L Ma, R Priyadarshi - Archives of Computational Methods in …, 2024 - Springer
This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …

A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges

G Aceto, V Persico, A Pescapé - IEEE Communications Surveys …, 2019 - ieeexplore.ieee.org
A new industrial revolution is undergoing, based on a number of technological paradigms.
The will to foster and guide this phenomenon has been summarized in the expression …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

A survey on consensus mechanisms and mining strategy management in blockchain networks

W Wang, DT Hoang, P Hu, Z **ong, D Niyato… - Ieee …, 2019 - ieeexplore.ieee.org
The past decade has witnessed the rapid evolution in blockchain technologies, which has
attracted tremendous interests from both the research communities and industries. The …

Blockchain and machine learning for communications and networking systems

Y Liu, FR Yu, X Li, H Ji… - … communications surveys & …, 2020 - ieeexplore.ieee.org
Recently, with the rapid development of information and communication technologies, the
infrastructures, resources, end devices, and applications in communications and networking …