[HTML][HTML] Distributed artificial intelligence: Taxonomy, review, framework, and reference architecture
Artificial intelligence (AI) research and market have grown rapidly in the last few years, and
this trend is expected to continue with many potential advancements and innovations in this …
this trend is expected to continue with many potential advancements and innovations in this …
Smart app attack: hacking deep learning models in android apps
On-device deep learning is rapidly gaining popularity in mobile applications. Compared to
offloading deep learning from smartphones to the cloud, on-device deep learning enables …
offloading deep learning from smartphones to the cloud, on-device deep learning enables …
Distributed artificial intelligence: review, taxonomy, framework, and reference architecture
Artificial intelligence (AI) research and market have grown rapidly in the last few years and
this trend is expected to continue with many potential advancements and innovations in this …
this trend is expected to continue with many potential advancements and innovations in this …
An edge visual incremental perception framework based on deep semi-supervised learning for monitoring power transmission lines
J Zhang, J Wang, R Song, G Peng… - CSEE Journal of …, 2023 - ieeexplore.ieee.org
In recent years, several efforts have been made to develop power transmission line
abnormal target detection models based on edge devices. Typically, updates to these …
abnormal target detection models based on edge devices. Typically, updates to these …
Improving FPGA based impedance spectroscopy measurement equipment by means of HLS described neural networks to apply edge AI
J Fe, R Gadea-Gironés, JM Monzo, Á Tebar-Ruiz… - Electronics, 2022 - mdpi.com
The artificial intelligence (AI) application in instruments such as impedance spectroscopy
highlights the difficulty to choose an electronic technology that correctly solves the basic …
highlights the difficulty to choose an electronic technology that correctly solves the basic …
Asymptotic domain adaptive detection for abnormal targets in transmission lines under complex weather conditions
J Zhang, G Peng, R Song, S Zhang… - CSEE Journal of …, 2023 - ieeexplore.ieee.org
The edge intelligence models commonly used to identify abnormal targets in transmission
lines are easily affected by complex weather changes, triggering significant declines in …
lines are easily affected by complex weather changes, triggering significant declines in …
Robot, Edge Intelligence and Data Survey
R Feng, X Feng - 2021 IEEE Intl Conf on Dependable …, 2021 - ieeexplore.ieee.org
A systematic approach review had been applied on the edge devices intelligence survey.
The observing and recording events that occur in the process of the research had been …
The observing and recording events that occur in the process of the research had been …