Zobrazeno 1 - 10
of 566
pro vyhledávání: '"Hongnian Yu"'
Publikováno v:
Blockchain: Research and Applications, Vol 5, Iss 3, Pp 100195- (2024)
Federated learning (FL) allows data owners to train neural networks together without sharing local data, allowing the industrial Internet of Things (IIoT) to share a variety of data. However, traditional FL frameworks suffer from data heterogeneity a
Externí odkaz:
https://doaj.org/article/51c59bfe9848468f94e082fd0a522e0f
Publikováno v:
IEEE Access, Vol 12, Pp 95058-95070 (2024)
Human man Activity Recognition (HAR) using wearable sensors, particularly wrist-worn devices, has garnered significant research interest. However, challenges such as sensor displacement and variations in wearing habits can affect the accuracy of HAR
Externí odkaz:
https://doaj.org/article/ff2f706a2c1f4c90925d9bdd02ea01b5
Autor:
Martins Odiamenhi, Haleh Jahanbakhsh Basherlou, Chan Hwang See, Naser Ojaroudi Parchin, Keng Goh, Hongnian Yu
Publikováno v:
Sensors, Vol 24, Iss 21, p 6804 (2024)
The proliferation of smart devices increases the demand for energy-efficient, battery-free technologies essential for sustaining IoT devices in Industry 4.0 and 5G networks, which require zero maintenance and sustainable operation. Integrating radio
Externí odkaz:
https://doaj.org/article/75b43ea0a9fa4cdab5a4c51db62e2bf3
Publikováno v:
Sensors, Vol 23, Iss 12, p 5699 (2023)
Advanced intelligent control (AIC) is a rapidly evolving and complex field that poses significant challenges [...]
Externí odkaz:
https://doaj.org/article/f41897436eaf425aaab489c4267a40af
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 7, Iss 4, Pp 547-548 (2022)
Externí odkaz:
https://doaj.org/article/1f8767e16e9f4de8a6090a757f140dd9
Publikováno v:
International Journal of Advanced Computer Science & Applications; Aug2024, Vol. 15 Issue 8, p18-27, 10p
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 9, Iss 31 (2022)
To make autonomous cars as safe as feasible for all road users, it is essential to interpret as many sources of trustworthy information as possible. There has been substantial research into interpreting objects such as traffic lights and pedestrian i
Externí odkaz:
https://doaj.org/article/9b9daa8762df44b6bf6542b06ee8ade8
Publikováno v:
IEEE Access, Vol 8, Pp 62932-62942 (2020)
In view of the demand for flexible drive and large load of the soft robot in the practical application, a novel type of flexible-actuated multi-degree-of-freedom (multi-DOF) parallel soft robot is designed. The proposed robot in parallel combination
Externí odkaz:
https://doaj.org/article/d2264415f85b4b29a6370c699c3defcf
Publikováno v:
IEEE Access, Vol 8, Pp 144718-144729 (2020)
This article explores a data-driven distributed bipartite consensus tracking (DBCT) problem for discrete-time multi-agent systems (MASs) with coopetition networks under repeatable operations. To solve this problem, a time-varying linearization model
Externí odkaz:
https://doaj.org/article/d529ff3167e44ab5aaed655c686060e6
Publikováno v:
IEEE Access, Vol 7, Pp 128185-128197 (2019)
Electroencephalography (EEG)-based brain-machine interface (BMI) is widely applied to control external devices like a wheel chair or a robotic arm, to restore motor function. EEG is useful to distinguish between left arm and right arm movements, howe
Externí odkaz:
https://doaj.org/article/b58821c87d484498aac377b16a635c33