Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review

E Badidi, K Moumane, F El Ghazi - IEEE Access, 2023 - ieeexplore.ieee.org
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Evaluating the energy impact of device parameters for DNN inference on edge

A Dutt, SP Rachuri, A Lobo, N Shaik… - Proceedings of the 14th …, 2023 - dl.acm.org
With advancements in edge inference accelerating the shift from cloud to edge computing,
there is a need for research on sustainable edge deployments of DNN workloads. However …

Evaluating the energy impact of device and workload parameters for DNN inference on edge RPE Report

A Dutt - 2023 - commons.library.stonybrook.edu
DNN inference is crucially employed in applications ranging from real-time speech recog-
nition and language translation to autonomous vehicle navigation and personalized content …

[PDF][PDF] Distributed edge cloud architecture for executing AI based applications.

F Bronzino - projects.listic.univ-smb.fr
Description. New generations of mobile access networks promise low delay and high-speed
throughput data connections paired with in-network processing capabilities. The technology …