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  1. 161

    Soil moisture forecasting in wireless sensor networks via spatiotemporal graph convolutional networks by Weixuan Wang, Yating Wei, Longfei Hao, Zushuai Wei, Tianjie Zhao

    Published 2025-01-01
    “…Graph neural network is adept at capturing and utilizing the complex spatiotemporal relationships and patterns inherent in graph‐structured data, thereby enhancing prediction accuracy. …”
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    Article
  2. 162

    The Dark Side of Social Media: Analysing Dark Pattern Combinations and Their Impacts by Hansika Ukgoda

    Published 2024-12-01
    “…This study explored dark patterns on social media networking sites (SNSs), focusing on two key questions: Do platforms use specific dark patterns in combination, and how do these combinations impact user interaction and experience? …”
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    Article
  3. 163

    POI Recommendation Scheme Based on User Activity Patterns and Category Similarity by Jongtae Lim, Seoheui Lee, He Li, Kyoungsoo Bok, Jaesoo Yoo

    Published 2024-11-01
    “…The utilization of location-based social networks to provide point-of-interest (POI) recommendation services has been the subject of extensive research in recent years. …”
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    Article
  4. 164

    Identifying systematic heterogeneity patterns in genetic association meta-analysis studies. by Lerato E Magosi, Anuj Goel, Jemma C Hopewell, Martin Farrall, CARDIoGRAMplusC4D Consortium

    Published 2017-05-01
    “…Q, I2) are not suited to identifying locus-specific from more systematic multi-locus or genome-wide patterns of heterogeneity. We have developed and evaluated an aggregate heterogeneity M statistic that combines between-study heterogeneity information across multiple genetic variants, to reveal systematic patterns of heterogeneity that elude conventional single variant analysis. …”
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    Article
  5. 165

    Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences by Qing Tang, Shenghua Xu, Zhuolu Wang, Yong Wang, Shichuan Liu, Haiqin Hua

    Published 2025-07-01
    “…This process involves analyzing users’ historical check-in data within location networks, which helps capture spatial activity preferences and predict regional movement patterns. …”
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  8. 168

    Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data by Kaisheng Zhang, Daniel (Jian) Sun, Suwan Shen, Yi Zhu

    Published 2017-06-01
    “…Fuzzy C-means clustering was used to conduct an exhaustive study on 24-hour congestion pattern of road segments in urban area, so that the spatial autoregressive moving average model (SARMA) was introduced to analyze the output from the clustering analysis to establish the relationship between built environment and the 24-hour congestion pattern. …”
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  9. 169

    Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach. by Andre F Marquand, Maurizio Filippone, John Ashburner, Mark Girolami, Janaina Mourao-Miranda, Gareth J Barker, Steven C R Williams, P Nigel Leigh, Camilla R V Blain

    Published 2013-01-01
    “…An advanced probabilistic pattern recognition approach was employed to evaluate the diagnostic value of several pre-defined anatomical patterns for discriminating the disorders, including: (i) a subcortical motor network; (ii) each of its component regions and (iii) the whole brain. …”
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  10. 170
  11. 171

    Urban Spatial Patterns of Banda Aceh Using a Shannon Entropy Method by Amir Murtadha*, Noer Fadhly, Muhammad Rusdi

    Published 2023-08-01
    “…Policymakers need a simple method to control and evaluate urban sprawl. This study integrates Shannon's Entropy model with remote sensing and GIS to analyze the pattern of sprawl in each sub-district in Banda Aceh City based on two aspects of distance, namely distance to the city center and road network in order to illustrate the pattern of urban sprawl. …”
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  16. 176

    Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis by Tianhang Nan, Song Zheng, Siyuan Qiao, Hao Quan, Xin Gao, Jun Niu, Bin Zheng, Chunfang Guo, Yue Zhang, Xiaoqin Wang, Liping Zhao, Ze Wu, Yaoxing Guo, Xingyu Li, Mingchen Zou, Shuangdi Ning, Yue Zhao, Wei Qian, Hongduo Chen, Ruiqun Qi, Xinghua Gao, Xiaoyu Cui

    Published 2025-07-01
    “…To obtain pathologists’ expertise with minimal pathologist workloads then achieve precise diagnostics, we collect the image review patterns of pathologists by eye-tracking devices. Simultaneously, we design a deep learning system: Pathology Expertise Acquisition Network (PEAN), based on the collected visual patterns, which can decode pathologists’ expertise and then diagnose WSIs. …”
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  17. 177

    Dermoscopic Patterns of Facial Melanoses in Adult Patients: A Cross-sectional Study by Manjari Annapurna Malladi, Rameez Raja Mullan Abdul, Divya Sri Vaka, Abhilash Bhavani Satya Venkata Subrahmanya Pampana, Susmitha Kattamsetty

    Published 2025-02-01
    “…Different pigmentary conditions exhibit specific pigment patterns, networks and special features on dermoscopy, which aid in their diagnosis. …”
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    Traffic Pattern Analysis at Urban Intersections through Vehicle Detection in Aerial Imagery by R. Bahmanyar, J. Hellekes, M. Mühlhaus, V. Gstaiger, F. Kurz

    Published 2025-07-01
    “…This approach allows us to infer vehicle density, identify queuing patterns, and analyze traffic light cycles. Such analysis can assess the robustness of signal timing under different traffic flows and the factors that influence intersection performance. …”
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  20. 180

    Neural Patterns of Social Pain in the Brain‐Wide Representations Across Social Contexts by Xiaodong Zhang, Peng Qing, Qi Liu, Can Liu, Lei Liu, Xianyang Gan, Kun Fu, Chunmei Lan, Xinqi Zhou, Keith M. Kendrick, Benjamin Becker, Weihua Zhao

    Published 2025-05-01
    “…Here, it is combined fMRI with multivariate pattern analysis (MVPA) to establish neurofunctional models for social pain triggered by observing social exclusion and separation naturistic stimuli. …”
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    Article