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  1. 661

    A Progressive Clustering Approach for Buildings Using MST and SOM with Feature Factors by Tianliang Zhang, Xiaoji Lan, Jianhua Feng

    Published 2025-02-01
    “…To address the challenges in current research on spatial clustering algorithms for buildings in topographic maps—namely, their limited ability to effectively accommodate diverse application scenarios, including dense and regular urban environments, sparsely and irregularly distributed rural areas, and urban villages with complex structures—this paper introduces an innovative progressive clustering algorithm framework. …”
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    Identification of Road Black Spots Based on the Sliding Window Optimization and Safety Performance Function Development by Shahin Shabani, Jalal Ayoubinejad, Nassir Baradaran Rahmanian

    Published 2024-03-01
    “…The optimization methodology employed in this study is as follows: Firstly, the road is segmented, and for each segment, different scenarios of window lengths are chosen using the Density-Based Spatial Clustering of Applications with Noise algorithm. …”
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    Mapping Urban Villages in Beijing–Tianjin–Hebei Core Cities Through a Dual-Stage Fusion of Individual Building Footprints and Glimmer Imagery by Jianqiang Hu, Yuheng Fu, Chaoqun Zhang, Manchun Li, Bingbo Gao, Qiancheng Lv, Jing Yang, Ziyue Chen

    Published 2025-01-01
    “…First, individual building footprints are analyzed using the density-based spatial clustering of applications with noise clustering algorithm to identify potential UV candidate areas based on spatial clustering characteristics. …”
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    A Hybrid Deep Learning–Based Approach for Visual Field Test Forecasting by Ashkan Abbasi, PhD, Sowjanya Gowrisankaran, PhD, Wei-Chun Lin, MD, PhD, Xubo Song, PhD, Bhavna Josephine Antony, PhD, Gadi Wollstein, MD, Joel S. Schuman, MD, Hiroshi Ishikawa, MD

    Published 2025-09-01
    “…Subjects and Controls: A total of 1750 subjects (healthy and glaucoma patients) with 19 437 Humphrey VF (24-2 Swedish Interactive Threshold Algorithm) tests collected from longitudinal glaucoma cohorts at the University of Pittsburgh and New York University. …”
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    Novel Automatic Classification Method for Geological Structures in Carbonate Formations Based on Electrical Imaging Logging by FU Yafeng, HUANG Ke, ZHU Hanbin, WANG Hui, ZHANG Xu, ZHAO Jie, XIAO Ni

    Published 2025-02-01
    “…Then, image thinning and the Hough transform are employed to obtain a line-segment representation of the skeleton map, and line segments are grouped based on spatial geometric relationships. Next, a directional region-growing algorithm is applied to separate overlapping regions and to extract geometric features (e.g., perimeter, area, average dip, etc.) of each independent connected region. …”
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    Assessing climate risks from satellite imagery with machine learning: A case study of flood risks in Jakarta by Jeasurk Yang, Donghyun Ahn, Junbeom Bahk, Sungwon Park, Nurrokhmah Rizqihandari, Meeyoung Cha

    Published 2024-01-01
    “…Our model first maps hazard-related risks with geo-spatial data, then extends the model to incorporate exposure and vulnerability. …”
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