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  1. 241

    Independently Identifying Noise Clusters in 2D LiDAR Scanning with Clustering Algorithms by Chiew Wei Wen, Chuan Hsian Pu

    Published 2025-03-01
    “…The research proposes a novel method for independently identifying and filtering noise clusters in 2-Dimensional (2D) LiDAR scans based on 2 distinct clustering algorithms of K-Means and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). …”
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    Article
  2. 242

    Application of Fuzzy Algorithms and Analytical Hierarchy Process Modification in Decision Support Systems for Lazis Scholarship UNNES by Dimas Bayu Satria Permadi, Alamsyah Alamsyah

    Published 2020-06-01
    “…So that it will be modified based on previous research and the addition of fuzzy algorithms to get a better decision support system method. …”
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    Article
  3. 243

    A Semi-Supervised Machine Learning Approach Using K-Means Algorithm to Prevent Burst Header Packet Flooding Attack in Optical Burst Switching Network by Patwary et al.

    Published 2019-09-01
    Subjects: “…Burst Header Packet Flooding Attack, K-Means Algorithm, Machine Learning, Optical Burst Switching Network, Semi-supervised Learning.…”
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    KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN by Jingting Xu, Hua Qu, Jihong Zhao

    Published 2015-06-01
    “…N+1 redundancy backup model was applied to controller placement problem in SDN in order to solve single node failure problem and to improve system reliability with taking system cost and latency into consideration,and the problem was abstracted as a multi-objective optimization problem. Meanwhile,an algorithm called KMOBPSO was proposed to calculate the result of high-reliability controller placement in SDN merged with K-means clustering algorithm and genetic operators. …”
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    Article
  8. 248

    Machine Learning Algorithm for Assessing Photovoltaic Panels Partial Shading Losses based on Inverter Data by Armando Luís Sousa Araujo, Tiago Francisco Pires

    Published 2025-03-01
    “…Experimental data from both models are presented, with the K-means model achieving a closer approximation to the reference values. …”
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    Research on corrosion defect identification and risk assessment of well control equipment based on a machine learning algorithm by He Zhang, Jiangna Cao, Haibo Liang, Gang Cheng

    Published 2024-12-01
    “…The experimental results show that the improved algorithm has high accuracy in identifying the corrosion type of well control pipeline, and the calculation speed is better than other algorithms described in this paper.…”
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    A Mold Damage Monitoring Algorithm for Power Metallurgy Molding Machines Using Bidirectional Long Short-Term Memory on an Internet of Things Platform by Hao-Pu Lin, Yuan-Chieh Chen, Chin-Chuan Han, Yu-Chi Wu, Jin-Yuan Lin

    Published 2025-03-01
    “…In this paper, an analysis and monitoring algorithm is proposed for mold health evaluation using vibration data. …”
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    An Enhanced Interval Type-2 Fuzzy C-Means Algorithm for Fuzzy Time Series Forecasting of Vegetation Dynamics: A Case Study from the Aksu Region, Xinjiang, China by Yongqi Chen, Li Liu, Jinhua Cao, Kexin Wang, Shengyang Li, Yue Yin

    Published 2025-06-01
    “…Fuzzy time series (FTS) prediction models based on the Fuzzy C-Means (FCM) clustering algorithm address some of these uncertainties by enabling soft partitioning through membership functions. …”
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    Article
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    SEMANTICS AND MEANING OF TERMS WITH THE COMPONENT ’RED’ by Velislava Stoykova

    Published 2024-11-01
    “…The article provides an analysis of the results of a study on the semantics and meanings of terms with the component red in modern Bulgarian. …”
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