Zobrazeno 1 - 10
of 6 655
pro vyhledávání: '"Clustering algorithms"'
Autor:
Abeer Aljohani
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-23 (2024)
Abstract Advanced data analytics are increasingly being employed in healthcare research to improve patient classification and personalize medicinal therapies. In this paper, we focus on the critical problem of clustering electronic health record (EHR
Externí odkaz:
https://doaj.org/article/74b26c93e1134969bde7c3edabe93756
An Improved Parallel Biobjective Hybrid Real-Coded Genetic Algorithm with Clustering-Based Selection
Autor:
Akopov Andranik S.
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 2, Pp 32-49 (2024)
This work presents an improved parallel biobjective hybrid real-coded genetic algorithm (MORCGA-MOPSO-II). The approach is based on the combined use of the parallel Multi-Objective Real-Coded Genetic Algorithm (MORCGA) and the Multi-Objective Particl
Externí odkaz:
https://doaj.org/article/44e60cccc4ce41c393610a162912305a
Autor:
Aasim Ayaz Wani
Publikováno v:
PeerJ Computer Science, Vol 10, p e2286 (2024)
This survey rigorously explores contemporary clustering algorithms within the machine learning paradigm, focusing on five primary methodologies: centroid-based, hierarchical, density-based, distribution-based, and graph-based clustering. Through the
Externí odkaz:
https://doaj.org/article/eddb778b2e78444c997114264016ff14
Autor:
Tadele A. Abose, Venumadhav Tekulapally, Ketema T. Megersa, Diriba C. Kejela, Samuel T. Daka, Kehali A. Jember
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34382- (2024)
The goal of this paper's novel energy-conscious routing method is to optimize energy usage and extend network lifespans using a new clustering probability. Versatile arrangements and a longer network lifespan (until the last node dies) are achieved t
Externí odkaz:
https://doaj.org/article/e3ea54a8f7254b278e1bc17d397979a9
Publikováno v:
IEEE Access, Vol 12, Pp 127792-127804 (2024)
A comprehensive analysis of the COVID-19 pandemic is necessary to prepare for future healthcare challenges. In this regard, the large number of datasets collected during the pandemic has allowed various studies on disease behavior and characteristics
Externí odkaz:
https://doaj.org/article/9e242bca5e404eb38fec817f77f91107
Autor:
Tadele A. Abose, Venumadhav Tekulapally, Diriba C. Kejela, Ketema T. Megersa, Samuel T. Daka, Kehali A. Jember
Publikováno v:
IEEE Access, Vol 12, Pp 99661-99671 (2024)
Clustering algorithms have a key role in decreasing energy consumption and increasing network longevity in wireless sensor networks. This work advances on previous homogeneous and heterogeneous algorithms, including low-energy adaptive clustering hie
Externí odkaz:
https://doaj.org/article/94b301e583374756be4d0b43ba22d69f
Publikováno v:
IEEE Access, Vol 12, Pp 38700-38716 (2024)
According to the Air Quality Directive 2008/50/EC, air quality zoning divides a territory into air quality zones where pollution and citizen exposure are similar and can be monitored using similar strategies. However, there is no standardized computa
Externí odkaz:
https://doaj.org/article/74c8fad3253e436d8c1b0e954c55844c
Publikováno v:
IEEE Access, Vol 12, Pp 30242-30253 (2024)
This paper explores the analysis of user behavior in information systems through audit records, creating a behavior model represented as a graph. The model captures actions over a specified period, facilitating real-time comparison to identify inside
Externí odkaz:
https://doaj.org/article/fae556af3f7f44869996db7bda93c864
Publikováno v:
International Journal of Informatics, Information System and Computer Engineering, Vol 4, Iss 2, Pp 147-169 (2023)
Clustering algorithms play a pivotal role in the field of engineering, offering valuable insights into complex datasets. This review paper explores the landscape of developed clustering algorithms with a focus on their applications in engineering. Th
Externí odkaz:
https://doaj.org/article/8e8b51d8ec6848969f3e28b5e376bb2f
Publikováno v:
Climate, Vol 12, Iss 9, p 142 (2024)
Studying air Urban Heat Islands (AUHI) in African cities is limited by building height data scarcity and sparse air temperature (Tair) networks, leading to classification confusion and gaps in Tair data. Satellite imagery used in surface UHI (SUHI) a
Externí odkaz:
https://doaj.org/article/aef19467910740f6b45d5c132d7cada8