Showing 161 - 180 results of 2,064 for search 'network evaluation patterns', query time: 0.16s Refine Results
  1. 161

    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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  2. 162

    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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  3. 163

    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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  4. 164

    Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

    Published 2025-04-01
    “…This research addresses the critical need for intrusion detection and mitigation systems by introducing a novel hybrid deep learning model, Stacked Autoencoder–Gated Recurrent Unit (SAE-GRU), specifically designed for IoT networks in smart cities. The study targets the dual challenges of processing high-dimensional data and recognizing temporal patterns to identify and mitigate botnet activities in real time. …”
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    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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  8. 168

    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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    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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  12. 172

    Contemporaneous symptom networks for multidimensional symptom experience in lung cancer survivors of immunotherapy: A network analysis. by Hang Gao, Xiaoxue Wen, Xiaoli Sun, Yuwei Liu, Jianwen Hou, Danwen Zheng, Hejia Chen, Lingfang Ma, Yufang Zhou, Xinyan Yu

    Published 2025-01-01
    “…<h4>Background</h4>Immunotherapy dramatically increases patient survival and radically changes the way lung cancer is treated. Through intricate network analysis of disease-related symptoms, symptom networks are able to statistically analyze and depict the links between different symptoms. …”
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  13. 173

    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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    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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