A systematic review of Green AI

R Verdecchia, J Sallou, L Cruz - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon
footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to …

[HTML][HTML] An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks

J Tanveer, A Haider, R Ali, A Kim - Applied Sciences, 2022 - mdpi.com
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …

[HTML][HTML] Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures

T Yigitcanlar, R Mehmood, JM Corchado - Sustainability, 2021 - mdpi.com
Smart cities and artificial intelligence (AI) are among the most popular discourses in urban
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …

Deep learning and blockchain-empowered security framework for intelligent 5G-enabled IoT

S Rathore, JH Park, H Chang - IEEE access, 2021 - ieeexplore.ieee.org
Recently, many IoT applications, such as smart transportation, healthcare, and virtual and
augmented reality experiences, have emerged with fifth-generation (5G) technology to …

Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology

M Abd Elaziz, MAA Al‐qaness, A Dahou… - … : Data Mining and …, 2024 - Wiley Online Library
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …

[HTML][HTML] Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments

N Janbi, I Katib, A Albeshri, R Mehmood - Sensors, 2020 - mdpi.com
Artificial intelligence (AI) has taken us by storm, hel** us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …

COVID-19: Detecting government pandemic measures and public concerns from Twitter arabic data using distributed machine learning

E Alomari, I Katib, A Albeshri, R Mehmood - International journal of …, 2021 - mdpi.com
Today's societies are connected to a level that has never been seen before. The COVID-19
pandemic has exposed the vulnerabilities of such an unprecedently connected world. As of …

A survey of privacy-preserving offloading methods in mobile-edge computing

T Li, X He, S Jiang, J Liu - Journal of Network and Computer Applications, 2022 - Elsevier
By moving computing resources to the network logical edge, mobile edge computing is
promising for providing low-latency computing services to mobile users, and task offloading …

Towards online privacy-preserving computation offloading in mobile edge computing

X Pang, Z Wang, J Li, R Zhou, J Ren… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a new paradigm where mobile users can offload
computation tasks to the nearby MEC server to reduce their resource consumption. Some …

A synthesis of green architectural tactics for ml-enabled systems

H Järvenpää, P Lago, J Bogner, G Lewis… - Proceedings of the 46th …, 2024 - dl.acm.org
The rapid adoption of artificial intelligence (AI) and machine learning (ML) has generated
growing interest in understanding their environmental impact and the challenges associated …