Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
Fog computing for next-generation internet of things: fundamental, state-of-the-art and research challenges
In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …
Applications of artificial intelligence and machine learning in smart cities
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …
maintain a green environment, improve the economic and living standards of their citizens …
Deep learning for security in digital twins of cooperative intelligent transportation systems
Z Lv, Y Li, H Feng, H Lv - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
The purpose is to solve the security problems of the Cooperative Intelligent Transportation
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
Speech emotion recognition enhanced traffic efficiency solution for autonomous vehicles in a 5G-enabled space–air–ground integrated intelligent transportation …
L Tan, K Yu, L Lin, X Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Speech emotion recognition (SER) is becoming the main human–computer interaction logic
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
[HTML][HTML] Applications of artificial intelligence in transport: An overview
The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented
opportunities to enhance the performance of different industries and businesses, including …
opportunities to enhance the performance of different industries and businesses, including …
A vision of C-V2X: Technologies, field testing, and challenges with Chinese development
S Chen, J Hu, Y Shi, L Zhao, W Li - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Cellular vehicle-to-everything (C-V2X) is an important enabling technology for autonomous
driving and intelligent transportation systems. It evolves from long-term evolution (LTE)-V2X …
driving and intelligent transportation systems. It evolves from long-term evolution (LTE)-V2X …
Edge computing: A survey
In recent years, the Edge computing paradigm has gained considerable popularity in
academic and industrial circles. It serves as a key enabler for many future technologies like …
academic and industrial circles. It serves as a key enabler for many future technologies like …
Networking and communications in autonomous driving: A survey
The development of light detection and ranging, Radar, camera, and other advanced sensor
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …