Autonomous vehicles enabled by the integration of IoT, edge intelligence, 5G, and blockchain
A Biswas, HC Wang - Sensors, 2023 - mdpi.com
The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …
Disclosing edge intelligence: A systematic meta-survey
The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …
Data science in energy consumption analysis: a review of AI techniques in identifying patterns and efficiency opportunities
NC Ohalete, AO Aderibigbe, EC Ani… - Engineering Science & …, 2023 - fepbl.com
This review critically examines the role of Data Science and Artificial Intelligence (AI)
techniques in energy consumption analysis, focusing on their efficacy in identifying patterns …
techniques in energy consumption analysis, focusing on their efficacy in identifying patterns …
Enabling resource-efficient aiot system with cross-level optimization: A survey
The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …
widespread use of intelligent infrastructures and the impressive success of deep learning …
When machine learning meets network management and orchestration in Edge-based networking paradigms
A Shahraki, T Ohlenforst, F Kreyß - Journal of Network and Computer …, 2023 - Elsevier
Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …
decade and related challenges like Big Data and data processing delay, new paradigms …
The many faces of edge intelligence
Edge Intelligence (EI) is an emerging computing and communication paradigm that enables
Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as …
Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as …
[HTML][HTML] The role of 6G technologies in advancing smart city applications: Opportunities and challenges
The deployment of fifth-generation (5G) wireless networks has already laid the ground-work
for futuristic smart cities but along with this, it has also triggered the rapid growth of a wide …
for futuristic smart cities but along with this, it has also triggered the rapid growth of a wide …
A critical historic overview of artificial intelligence: Issues, challenges, opportunities, and threats
PP Groumpos - Artificial Intelligence and Applications, 2023 - ojs.bonviewpress.com
Artificial intelligence (AI) has been considered a revolutionary and world-changing science,
although it is still a young field and has a long way to go before it can be established as a …
although it is still a young field and has a long way to go before it can be established as a …
Multi-compression scale DNN inference acceleration based on cloud-edge-end collaboration
H Qi, F Ren, L Wang, P Jiang, S Wan… - ACM Transactions on …, 2024 - dl.acm.org
Edge intelligence has emerged as a promising paradigm to accelerate DNN inference by
model partitioning, which is particularly useful for intelligent scenarios that demand high …
model partitioning, which is particularly useful for intelligent scenarios that demand high …
Exploring Computing Paradigms for Electric Vehicles: From Cloud to Edge Intelligence, Challenges and Future Directions
Electric vehicles are widely adopted globally as a sustainable mode of transportation. With
the increased availability of onboard computation and communication capabilities, vehicles …
the increased availability of onboard computation and communication capabilities, vehicles …