A systematic review of Green AI
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 …
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
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …
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 …
policy circles. Most attempts at using AI to improve efficiencies in cities have nevertheless …
[HTML][HTML] Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
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 …
augmented reality experiences, have emerged with fifth-generation (5G) technology to …
[HTML][HTML] COVID-19: Detecting government pandemic measures and public concerns from Twitter arabic data using distributed machine learning
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 …
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 …
promising for providing low-latency computing services to mobile users, and task offloading …
Towards online privacy-preserving computation offloading in mobile edge computing
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 …
computation tasks to the nearby MEC server to reduce their resource consumption. Some …
[HTML][HTML] Deep journalism and DeepJournal V1. 0: a data-driven deep learning approach to discover parameters for transportation
We live in a complex world characterised by complex people, complex times, and complex
social, technological, economic, and ecological environments. The broad aim of our work is …
social, technological, economic, and ecological environments. The broad aim of our work is …
Hybrid chain: Blockchain enabled framework for bi-level intrusion detection and graph-based mitigation for security provisioning in edge assisted IoT environment
Internet of Things (IoT) is an emerging technology and its applications are flattering amidst
many users, as it makes everything easier. As a consequence of its massive growth, security …
many users, as it makes everything easier. As a consequence of its massive growth, security …