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Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
A survey of recent advances in edge-computing-powered artificial intelligence of things
Z Chang, S Liu, X **ong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
Convergence of edge computing and deep learning: A comprehensive survey
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …
massive amounts of data, and ever-increasing computing power is driving the core of …
Deep learning with edge computing: A review
Deep learning is currently widely used in a variety of applications, including computer vision
and natural language processing. End devices, such as smartphones and Internet-of-Things …
and natural language processing. End devices, such as smartphones and Internet-of-Things …
Edge intelligence: Paving the last mile of artificial intelligence with edge computing
With the breakthroughs in deep learning, the recent years have witnessed a booming of
artificial intelligence (AI) applications and services, spanning from personal assistant to …
artificial intelligence (AI) applications and services, spanning from personal assistant to …
Edge intelligence in intelligent transportation systems: A survey
Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …
Edge machine learning for ai-enabled iot devices: A review
In a few years, the world will be populated by billions of connected devices that will be
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …
Computation offloading toward edge computing
We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …
everyday. However, these devices are constrained by the battery and computational …
Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles
Abstract In the Internet of Things enabled intelligent transportation systems, a huge amount
of vehicle video data has been generated and real-time and accurate video analysis are …
of vehicle video data has been generated and real-time and accurate video analysis are …
Reducto: On-camera filtering for resource-efficient real-time video analytics
To cope with the high resource (network and compute) demands of real-time video analytics
pipelines, recent systems have relied on frame filtering. However, filtering has typically been …
pipelines, recent systems have relied on frame filtering. However, filtering has typically been …