Showing 101 - 120 results of 2,064 for search 'network evaluation (pattern OR patterns)', query time: 0.21s Refine Results
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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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  4. 104

    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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  7. 107

    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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  13. 113

    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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  14. 114

    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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  15. 115

    Analysis of signals from air conditioner compressors with ordinal patterns and machine learning by Keila Barbosa, Alejandro C Frery, George DC Cavalcanti

    Published 2025-03-01
    “…Furthermore, we incorporate machine learning algorithms, such as Artificial Neural Networks, Support Vector Machines, and Decision Trees, to evaluate and validate the effectiveness of Ordinal Patterns as discriminative features. …”
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    Geographical analyses and artificial intelligence for the study of late medieval settlements in Southern Tuscany (Italy) by Luca Deravignone

    Published 2014-12-01
    “…This paper presents how Artificial Neural Networks (ANN), integrated in a GIS platform, has been used to analyse ancient settlement patterns, in particular fortified villages and medieval settlements in central Italy. …”
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  19. 119

    A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

    Published 2025-06-01
    “…The model is trained here, using data from ten stations in Texas, enabling it to capture both spatial and temporal patterns in atmospheric behavior. Performance evaluation shows notable improvements, with a Root Mean Square Error (RMSE) reduction ranging from 34.11% to 71.63%. …”
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    Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction by Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka

    Published 2025-03-01
    “…Most ML algorithms in this study had an accuracy greater than 90 ​% in EMG-based abnormal gait pattern recognition except for LSTM and BiLSTM. This study provides novel technology for evaluation of gait pattern recognition related to flat ground fall.…”
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