Edge intelligence: Paving the last mile of artificial intelligence with edge computing

Z Zhou, X Chen, E Li, L Zeng, K Luo… - Proceedings of the …, 2019 - ieeexplore.ieee.org
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 …

Legodnn: block-grained scaling of deep neural networks for mobile vision

R Han, Q Zhang, CH Liu, G Wang, J Tang… - Proceedings of the 27th …, 2021 - dl.acm.org
Deep neural networks (DNNs) have become ubiquitous techniques in mobile and
embedded systems for applications such as image/object recognition and classification. The …

[图书][B] Edge/Fog Computing Paradigm: The Concept, Platforms and Applications.

P Raj, K Saini, C Surianarayanan - 2022 - books.google.com
Page 1 Advances in COMPUTERS Volume 127 Edge/Fog Computing Paradigm: The
Concept, Platforms and Applications Edited by PETHURU RAJ CHELLLAH, KAVITA SAINI …

Artificial intelligence in edge devices

A Singh, K Saini, V Nagar, V Aseri, MS Sankhla… - Advances in …, 2022 - Elsevier
In the current era, advancements in deep learning have seen the services and uses of
artificial intelligence (AI) flourish. From individual support and commendation structures to …

Video analytics-based real-time intelligent crossing detection system (RICDS): Killer app for edge computing

Y Yang, S Lee, J Lee - Future Generation Computer Systems, 2022 - Elsevier
In this paper, we design and implement a video analytics based real-time intelligent crossing
detection system (RICDS) as a novel safety service for the smart city. This system spans …

SDWBF algorithm: a novel pedestrian detection algorithm in the aerial scene

X Ma, Y Zhang, W Zhang, H Zhou, H Yu - Drones, 2022 - mdpi.com
Due to the large amount of video data from UAV aerial photography and the small target size
from the aerial perspective, pedestrian detection in drone videos remains a challenge. To …

[PDF][PDF] A spatio-temporal based frame indexing algorithm for qos improvement in live low-motion video streaming

AE Adedokun, MB Abdulrazak, MM Omuya… - ATBU Journal of …, 2019 - academia.edu
Real-time video life streaming of events over a network continued to gain more popularity
among the populace. However, there is need to ensure the judicious utilization of allocated …

Top-K Deep Video Analytics: A Probabilistic Approach

Z Lai, C Han, C Liu, P Zhang, E Lo, B Kao - Proceedings of the 2021 …, 2021 - dl.acm.org
The impressive accuracy of deep neural networks (DNNs) has created great demands on
practical analytics over video data. Although efficient and accurate, the latest video analytic …

A Spatio-Temporal based Frame Indexing Algorithm for QoS Improvement in Live Low-Motion Video Streaming

AE Adedokun, MB Abdulrazak, MM Omuya… - arXiv preprint arXiv …, 2024 - arxiv.org
Real-time video life streaming of events over a network continued to gain more popularity
among the populace. However, there is need to ensure the judicious utilization of allocated …