A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability
Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …
the capabilities of AI to the network edge for real-time, efficient and secure intelligent …
Predicting urban region heat via learning arrive-stay-leave behaviors of private cars
Urban region heat refers to the extent of which people congregate in various regions when
they travel to and stay in a specified place. Predicting urban region heat facilitates broad …
they travel to and stay in a specified place. Predicting urban region heat facilitates broad …
Generative AI-empowered simulation for autonomous driving in vehicular mixed reality metaverses
In the vehicular mixed reality (MR) Metaverse, the discrepancy between physical and virtual
entities can be overcome by fusing the physical and virtual environments with multi …
entities can be overcome by fusing the physical and virtual environments with multi …
Federated learning for computational offloading and resource management of vehicular edge computing in 6G-V2X network
The Sixth Generation network (6G) can support autonomous driving along with various
vehicular applications like Vehicular Edge Computing (VEC), a distributed computing …
vehicular applications like Vehicular Edge Computing (VEC), a distributed computing …
Toward collaborative occlusion-free perception in connected autonomous vehicles
In connected autonomous vehicles (CAVs), the driving safety can be greatly deteriorated, in
the presence of occlusions which are adverse to CAVs' perception of region-of-interest (RoI) …
the presence of occlusions which are adverse to CAVs' perception of region-of-interest (RoI) …
A Novel Electric Vehicle Battery Management System Using an Artificial Neural Network‐Based Adaptive Droop Control Theory
MZ Afzal, M Aurangzeb, S Iqbal… - … Journal of Energy …, 2023 - Wiley Online Library
The novelty of this research lies in the development of a new battery management system
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …
A quality-of-service-aware service composition method in the internet of things using a multi-objective fuzzy-based hybrid algorithm
M Hamzei, S Khandagh, N Jafari Navimipour - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing
billions of intelligent objects capable of bridging the physical and virtual worlds across …
billions of intelligent objects capable of bridging the physical and virtual worlds across …
Overcoming occlusions: Perception task-oriented information sharing in connected and autonomous vehicles
With the potential of reshaping the future of mobility, connected and autonomous vehicles
(CAVs) offer a potential opportunity to transform the world with significant social, industrial …
(CAVs) offer a potential opportunity to transform the world with significant social, industrial …
Model-assisted learning for adaptive cooperative perception of connected autonomous vehicles
Cooperative perception (CP) is a key technology to facilitate consistent and accurate
situational awareness for connected and autonomous vehicles (CAVs). To tackle the …
situational awareness for connected and autonomous vehicles (CAVs). To tackle the …
Task offloading in Internet of Things based on the improved multi-objective aquila optimizer
M Nematollahi, A Ghaffari, A Mirzaei - Signal, Image and Video Processing, 2024 - Springer
Abstract The Internet of Things (IoT) is a network of tens of billions of physical devices that
are all connected to each other. These devices often have sensors or actuators, small …
are all connected to each other. These devices often have sensors or actuators, small …