Zobrazeno 1 - 10
of 365
pro vyhledávání: '"Mou Wu"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3789-3817 (2024)
Abstract Internet of Things has become a common paradigm for various domains. To meet a user’s complex requirement, we should compose multiple IoT devices (IoT services) to provide comprehensive services to the user. However, these services usually
Externí odkaz:
https://doaj.org/article/980569d7a44b4aa09b9bcd693b3d7cb6
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 2024 (2024)
Wireless ad hoc/sensor networks (WASN) have seen increased application in three-dimensional (3D) environments, such as underwater and aerial scenarios. However, WASN may be fragmented or unable to connect continuously due to the harsh surrounding env
Externí odkaz:
https://doaj.org/article/9f008bf112a94b3a96e4eb93e87fbacd
Publikováno v:
IEEE Access, Vol 11, Pp 76913-76925 (2023)
Distributed optimization is a powerful paradigm to solve various problems in machine learning over networked systems. Existing first-order optimization methods perform cheap gradient descent by exchanging information per iteration only with single-ho
Externí odkaz:
https://doaj.org/article/a37d77734be848a2b13c9d7755b933bc
Publikováno v:
IEEE Access, Vol 8, Pp 114315-114329 (2020)
In multi-agent networked systems, parameter estimation problems arising in many practical applications are often required to solve Non-Linear Least Squares (NLLS) problems with the usual objective function (i.e., sum of squared residuals). The aim is
Externí odkaz:
https://doaj.org/article/1e8255115106432384db0f31c9b2e950
Publikováno v:
IEEE Access, Vol 8, Pp 215649-215660 (2020)
Non-linear least squares problems arise from data fitting have received recently a lot of attention, particularly for the estimates of the model parameters over networked systems. Although the diffusion Gauss-Newton method offers many advantages for
Externí odkaz:
https://doaj.org/article/e27bb508517b490ab5b651bffd1cd07c
Publikováno v:
IEEE Access, Vol 8, Pp 139501-139511 (2020)
Due to the negative impact from spatial correlation, spatially correlated cognitive radio (CR) based devices participating in cooperative spectrum sensing may be harmful to the detection performance. In this paper, we propose an energy-efficient coop
Externí odkaz:
https://doaj.org/article/9f4a47472bd84dc8afcd6c519ecfcc6a
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12432 (2022)
Automated facial gender and age classification has remained a challenge because of the high inter-subject and intra-subject variations. We addressed this challenging problem by studying multi-instance- and multi-scale-enhanced multi-task random fores
Externí odkaz:
https://doaj.org/article/2b6d331b4c1b4774891995574a53ff83
Publikováno v:
IEEE Access, Vol 6, Pp 23325-23337 (2018)
Least mean squares (LMS) adaptive algorithms are attractive for distributed environment parameter estimation problems in a smart city due to the benefits of cooperation, adaptation, and rapid convergence. To obtain a reliable estimate of the network-
Externí odkaz:
https://doaj.org/article/eef0a716670b41be90a104ff16965d96
Publikováno v:
Sensors, Vol 15, Iss 1, Pp 248-273 (2014)
One of the most widespread and important applications in wireless sensor networks (WSNs) is the continuous data collection, such as monitoring the variety of ambient temperature and humidity. Due to the sensor nodes with a limited energy supply, the
Externí odkaz:
https://doaj.org/article/495617ddec214b3795360c19db6c3244
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
Distributed parameter estimation problem has attracted much attention due to its important foundation of some applications in wireless sensor networks. In this work, we first investigate the performance tradeoff between existing incremental least-mea
Externí odkaz:
https://doaj.org/article/5c9c3462a54d40ccaae0cd825c9ef019