Zobrazeno 1 - 10
of 976
pro vyhledávání: '"kMeans"'
Publikováno v:
Guangtongxin yanjiu, Pp 23002601-23002606 (2024)
【Objective】The light source of fiber grating sensing system provides energy for the system. The stable and continuous light source is crucial for the application of the whole demodulation system. When the Modulated Grating Y-branch (MG-Y) laser i
Externí odkaz:
https://doaj.org/article/f6fcef77ca7148258253f759b47a5532
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Lithium in coal, as a new type of associated mineral resource, has considerable potential for exploration. Exploration of high-lithium coal seams is essential for developing and using the associated lithium resources. To explore the distribution of l
Externí odkaz:
https://doaj.org/article/5c69a43e833e47c78796636aa23af536
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-14 (2024)
Abstract Machine learning algorithms can be used to detect Alzheimer disease with RMI-images. One of the challenges of these algorithms is to clearly extract image features that show small variants of brain cells changes, which reveal the condition o
Externí odkaz:
https://doaj.org/article/5a4568ec021c4b2191b79298ad4feac2
Publikováno v:
Alexandria Engineering Journal, Vol 89, Iss , Pp 1-30 (2024)
Cloud communication is a combination of distributed computing and parallel computing. One of the biggest challenges in cloud communications is task scheduling, which is difficult due to the nondeterministic polynomial completeness (NP) of cloud syste
Externí odkaz:
https://doaj.org/article/c9a117727fa04cd4814b5e34b474aeec
Autor:
Jianyuan Wang, Xiaoyao Li
Publikováno v:
IEEE Access, Vol 12, Pp 99110-99121 (2024)
Aiming at the existing user abnormal electricity consumption detection methods that have the problem of difficult classification of user similar electricity consumption patterns, this paper proposes an unsupervised isolation forest abnormal electrici
Externí odkaz:
https://doaj.org/article/f0f75ca663b74adc8d743d8f573b6dea
Publikováno v:
IEEE Access, Vol 12, Pp 8744-8772 (2024)
Existing vehicle position estimation methods are mostly based on Global Positioning System (GPS) or a fusion of GPS and machine learning methods to realize vehicle position estimation. While highway tunnels are many, GPS signals are easy to be interf
Externí odkaz:
https://doaj.org/article/f7576d665b924dd584bed5411dd0d5f9
Publikováno v:
Energies, Vol 17, Iss 23, p 5864 (2024)
The development of power systems puts forward higher requirements for transient stability evaluations of power systems. The accuracy and timeliness of transient stability assessment are of great significance to the safe and stable operation of power
Externí odkaz:
https://doaj.org/article/46bb2e5d2f9343c08287e827b943ef12
Autor:
Abdesslem Layeb
Publikováno v:
Acta Informatica Pragensia, Vol 12, Iss 2, Pp 379-399 (2023)
This paper presents two novel deterministic initialization procedures for k-means clustering based on a modified crowding distance. The procedures, named ck-means and fck-means, use more crowded points as initial centroids. Experimental studies on mu
Externí odkaz:
https://doaj.org/article/2b5c91f1f429449bafebcc0f0bc3749c
Autor:
Jingqi Li, Junlin Li, Dan Wang, Chengxiong Mao, Zhitao Guan, Zhichao Liu, Miaomiao Du, Yuanzhuo Qi, Lexiang Wang, Wenge Liu, Pengfei Tang
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 477-485 (2023)
To improve the reliability of power supply, this paper proposes a hierarchical and partitioned planning strategy for closed-loop devices in low-voltage distribution network. Based on the geographic location and load situation of the distribution netw
Externí odkaz:
https://doaj.org/article/82bd3f0bfd29455880d3bf7f191edeab
Publikováno v:
Atmosphere, Vol 15, Iss 9, p 1031 (2024)
Sea fog is a hazardous natural phenomenon that reduces visibility, posing a threat to ports and nearshore navigation, making the identification of nearshore sea fog crucial. Millimeter-wave radar has significant advantages over satellites in capturin
Externí odkaz:
https://doaj.org/article/caf00d553b914cbda76c1f09a9a86df3