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Showing 161 - 180 results of 4,583 for search '((\ spatial research algorithm\ ) OR ((\ pain OR \ main) research algorithm\ ))', query time: 0.45s Refine Results
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    An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

    Published 2025-01-01
    “…Method and results: This research established a pain recognition model based on AI skin potential (SP) signal analysis. …”
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  4. 164

    Research on Building Extraction Based on Object-oriented CART Classification Algorithm and GF-2 Satellite Images by HUANG Wei, CUI Zhimei, HUANMG Zhidu, WU Rongrong

    Published 2024-12-01
    “…Extracting building information around power facilities, especially obtaining this information from high-resolution images, has become one of the current hot topics in remote sensing technology research. This study made full use of the characteristics of GF-2 satellite remote sensing images, adopted an object-oriented classification method, combined with multi-scale segmentation technology and CART classification algorithm, and successfully extracted the buildings in the study area. …”
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    Research on Dynamic Stability of Slopes Under the Influence of Heavy Rain Using an Improved NSGA-II Algorithm by Bohu He, Xiuli Du, Mingzhou Bai, Jinwen Yang, Dong Ma

    Published 2025-06-01
    “…In this study, building upon our existing parameter inversion model, the improved backpropagation genetic algorithm non-dominated sorting genetic algorithm II model (BPGA-NSGA-II), in-depth research was conducted on the selection of key parameters for the model. …”
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  8. 168

    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
  9. 169

    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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  10. 170

    Research on self-supervised super resolution restoration algorithm based on reflective micro-scanning optical system by Jian Chen, Yuwei Wang, Xin Ye, Mo Chen, Qun Zhou

    Published 2025-07-01
    “…Abstract The features of infrared image such as less details and low SNR become bottleneck of infrared image application. This paper mainly focuses on research of super-resolution restoration algorithm of infrared image based on reflective infrared micro-scanning optical system. …”
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    Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm by Guiliang Lu, Mingwei Liu

    Published 2025-04-01
    “…While traditional studies on pedestrian evasive behavior have mainly focused on general traffic environments and used image-based features to predict trajectories, few have specifically addressed the behavior of pedestrians in school zones. …”
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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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    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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    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