Zobrazeno 1 - 10
of 1 304
pro vyhledávání: '"dynamic clustering"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract A central problem in the study of human mobility is that of migration systems. Typically, migration systems are defined as a set of relatively stable movements of people between two or more locations over time. While these emergent systems a
Externí odkaz:
https://doaj.org/article/1a79b082222041dd9103f66e540e65ca
Publikováno v:
IEEE Access, Vol 12, Pp 125416-125426 (2024)
The application of neural network models is becoming increasingly widespread.One of the most relevant aspects of neural networks is their generalization ability, which predicts situations that are not included in the training set. Research has shown
Externí odkaz:
https://doaj.org/article/6e40c26fc21344f2a451392bdafd01ee
Publikováno v:
IEEE Access, Vol 12, Pp 29583-29595 (2024)
Currently, supervised person re-identification (Re-ID) models trained on labeled datasets can achieve high recognition performance in the same data domain. However, accuracy drops dramatically when these models are directly applied to other unlabeled
Externí odkaz:
https://doaj.org/article/bf8c4298b270460cbeab5d41f5cc9d0b
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103791- (2024)
Point cloud segmentation is one of the most important tasks in LiDAR remote sensing with widespread scientific, industrial, and commercial applications. The research thereof has resulted in many breakthroughs in 3D object and scene understanding. Exi
Externí odkaz:
https://doaj.org/article/c11d821aa7e64c2895f0fe8ec8ae1a27
Publikováno v:
ETRI Journal, Vol 45, Iss 6, Pp 1065-1078 (2023)
In vehicular networks, diverse safety information can be shared among vehicles through internet connections. In vehicle-to-internet communications, vehicles on the road are wirelessly connected to different cloud networks, thereby accelerating safety
Externí odkaz:
https://doaj.org/article/4d74198bf5e3460aa923d151ad6fb134
Autor:
Yan Shenghua, Huang Lei
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 181-192 (2023)
The rapid development of China’s economy, especially the rapid rise of the logistics and distribution industry in recent years, coupled with the rise of e-commerce in recent years, has created a huge impact on the traditional logistics industry. Ai
Externí odkaz:
https://doaj.org/article/6b006174f3f94b5c8673fa3f73fe276f
Autor:
Zang Xiaoming
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper takes the results of the practice of intelligent construction of intelligent Civics teaching mode in colleges and universities as the theoretical basis and constructs the evaluation system of the effectiveness of intelligent Civics teachin
Externí odkaz:
https://doaj.org/article/cffc524e8dfd4e61b910d8c77bc7941d
Publikováno v:
Energies, Vol 17, Iss 11, p 2514 (2024)
This work explores the ability to dynamically group the Wind Turbine (WT) of a Wind Farm (WF) based on the behavior of some of their Supervisory Control And Data Acquisition (SCADA) signals to detect the turbines that exhibit abnormal behavior. This
Externí odkaz:
https://doaj.org/article/ad9a2ebab69241229c4af02ac72cccc3
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 3, Pp 74-86 (2023)
Underwater wireless sensor networks possess considerable potential to monitor large and hostile underwater environments by reliably sensing, collecting, and forwarding data toward the surface sinks. Although the research community has made promising
Externí odkaz:
https://doaj.org/article/34e70aa49e30459cbda126c2a26b760d
Publikováno v:
IEEE Access, Vol 11, Pp 32508-32522 (2023)
Load scheduling and peak demand shaving are two critical aspects of the utility grid operation that help both the grid operators as well as end-users. This paper proposes a two-stage community home energy management system for microgrids. The first s
Externí odkaz:
https://doaj.org/article/c668be4f7c0c47df96b27a92a6b2bab3