Zobrazeno 1 - 10
of 4 102
pro vyhledávání: '"K-Means Algorithm"'
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 702-714 (2024)
Accurate indoor robot navigation cannot be achieved without reliable indoor positioning techniques. Ultra-wideband (UWB) is among the most dependable techniques currently available. However, the complexity of indoor environments results in signal tra
Externí odkaz:
https://doaj.org/article/609e85d939774cb7a4bcaaca09605376
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 2, Pp 341-349 (2024)
This study aims to segment donors using the Recency, Frequency, Monetary (RFM) model and the K-Means algorithm to optimize fundraising strategies. The RFM model is used to measure donor engagement through three dimensions: Recency (the last time a do
Externí odkaz:
https://doaj.org/article/8f53e3e689ec4bdc8e84eff05ac64cee
Autor:
Luis Fernando, Melissa Indah Fianty
Publikováno v:
Journal of Information Systems and Informatics, Vol 6, Iss 3, Pp 1484-1498 (2024)
Information plays a crucial role in the sustainability of company operations. The development of information technology, especially in the industry 4.0 era, affects various fields including economics, social, and education. The company faces challeng
Externí odkaz:
https://doaj.org/article/6ab409e7f3f44f56a1147748f1fb11a9
Publikováno v:
Heliyon, Vol 10, Iss 24, Pp e40033- (2024)
This study proposes a public opinion monitoring model that combines the K-means clustering algorithm with Particle Swarm Optimization (PSO) to enhance the accuracy and effectiveness of public opinion monitoring on social media. The model's performanc
Externí odkaz:
https://doaj.org/article/ca9e4c2e82054d9cbb1e5d9e339e3b51
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 56, Iss , Pp 102067- (2024)
Study region: The study was conducted in a Sahelian watershed located in Burkina Faso (West Africa). Study focus: In this study, an inter-comparison procedure is proposed to investigate the effects of implementing various sets of explanatory variable
Externí odkaz:
https://doaj.org/article/c987e6a386b6490289a8c5e402d1f9e2
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103377- (2024)
To identify the behavior and health monitoring of dams, it is necessary to correctly interpret the results of instrumentation in different phases of construction, impounding, and operation. Therefore, the approach based on spatiotemporal prediction i
Externí odkaz:
https://doaj.org/article/ae2e1236308c4a6d99bae052acadbb08
Autor:
Ruobing Wu
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200143- (2024)
In the fierce competition of the electricity market, how to consolidate and develop customers is particularly important. Aiming to analyze the electricity consumption characteristics of customer groups, this paper used a k-means algorithm and optimiz
Externí odkaz:
https://doaj.org/article/26f265d73be84485b3e3dab9d101b118
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200091- (2024)
With the advancement of education information, the scale of online education has been expanding, which brings challenges to students' learning path planning, i.e., course and learning method planning. To address the limitations of learning path plann
Externí odkaz:
https://doaj.org/article/a6ea2c8e1b214a6aab20e5e92d039a34
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102794- (2024)
Rapid and accurate detection of bamboo aphids can help prevent large-scale aphid infestations from occurring, which is of great significance for increasing bamboo shoot production and economic benefits. Herein, a lightweight and accurate model, SCA-Y
Externí odkaz:
https://doaj.org/article/cbf7ac9e3b244559aafc3536d490b850
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundIntegrating technology with rural development is essential for addressing the unique challenges faced by aging populations in rural areas. China’s national rural revitalization strategy emphasizes the importance of developing characterist
Externí odkaz:
https://doaj.org/article/62d7a22158b542c9a26706229fa93735