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    The T-DBSCAN Algorithm for Stopover Site Identification of Migration Birds Based on Satellite Positioning Data by Xinwu He, Xiqun Liu, Jiajia Liu, Youwen Li, Zhenggang Xu, Ping Mo, Tian Huang

    Published 2025-03-01
    “…Habitat research frequently employs clustering techniques, but conventional clustering algorithms struggle to adjust to these data features, particularly when it comes to time dimension changes and irregular data sampling. …”
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    Article
  3. 83

    Enhancing Spatial Legibility through Building Layout Optimization: The Case of Erbil City Shopping Malls by Sally Ghanim, Faris Mustafa

    Published 2025-11-01
    “…It aims to address the research gap by developing a comprehensive framework for optimizing spatial legibility in shopping mall layouts. …”
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    Article
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    Algorithmic Support for Environmental Impact Assessment of Road Transport Infrastructure on Atmospheric Air in Urban Areas by N. I. Kurakina, R. A. Myshko, R. A. Burdin, N. F. Denissova

    Published 2024-12-01
    “…The developed software and algorithmic support can serve as the basis for development of a digital air pollution map. …”
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    Article
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    Independently Identifying Noise Clusters in 2D LiDAR Scanning with Clustering Algorithms by Chiew Wei Wen, Chuan Hsian Pu

    Published 2025-03-01
    “…LiDAR environmental mapping technology is often highly praised for its precise mapping information with intricate features for various detection or tracking based applications. 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
  8. 88

    A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources by Theodoros Anagnostopoulos, Samson Rani Jino Ramson

    Published 2025-05-01
    “…The proposed algorithm is evaluated experimentally with real data based on specific evaluation metrics assessing its efficiency with regards to certain spatial, temporal, social, capacity, and satisfaction contexts. …”
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    Article
  9. 89

    Improvement of classification accuracy of functional near-infrared spectroscopy signals for hand motion and motor imagery using a common spatial pattern algorithm by Omid Asadi, Mahsan Hajihosseini, Sima Shirzadi, Zahra Einalou, Mehrdad Dadgostar

    Published 2025-05-01
    “…This study aimed to address this challenge by employing the common spatial pattern (CSP) algorithm to reduce input dimensions for support vector machine (SVM) and linear discriminant analysis (LDA) classifiers. …”
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    Article
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