Showing 181 - 200 results of 2,064 for search 'network evaluation (pattern OR patterns)', query time: 0.19s Refine Results
  1. 181

    Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation by Pilar Schummer, Alberto del Rio, Javier Serrano, David Jimenez, Guillermo Sánchez, Álvaro Llorente

    Published 2024-12-01
    “…<b>Background:</b> In the last decade, numerous methods have been proposed to define and detect outliers, particularly in complex environments like networks, where anomalies significantly deviate from normal patterns. …”
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    Leveraging CA-ANN modelling for SDGs alignment: Previse future land use patterns and their influence on Mirik Lake of sub-Himalayan Region by Md Ashif Ali, Saleha Jamal, Nilofer Wahid, Wani Suhail Ahmad

    Published 2025-06-01
    “…To forecast and determine possible land-use changes for the years 2030 and 2040, the Modules for Land Use Change Evaluation (MOLUSCE) plug-in Multilayer Perceptron-Artificial Neural Network (MLP-ANN) was trained with the factors DEM, aspect, slope, hillshade, proximity to built-up, waterbody, and road. …”
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  4. 184

    Balancing central control and sensory feedback produces adaptable and robust locomotor patterns in a spiking, neuromechanical model of the salamander spinal cord. by Alessandro Pazzaglia, Andrej Bicanski, Andrea Ferrario, Jonathan Arreguit, Dimitri Ryczko, Auke Ijspeert

    Published 2025-01-01
    “…Unlike previous studies that often oversimplified the dynamics of the locomotor networks, our model includes detailed simulations of the classes of neurons that are considered responsible for generating movement patterns. …”
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    Deep Time Series Intelligent Framework for Power Data Asset Evaluation by Lihong Ge, Xin Li, Li Wang, Jian Wei, Bo Huang

    Published 2025-01-01
    “…These data have both long-term and short-term patterns, and traditional evaluation methods such as autoregressive models or Gaussian processes may be difficult to fully capture their characteristics, resulting in evaluation bias. …”
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  8. 188

    Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol by Bruno Bonnechère, Dominique Hansen, Kim Daniels, Sharona Vonck, Jolien Robijns, Annemie Spooren

    Published 2025-05-01
    “…Machine learning will analyse data, employing unsupervised learning (eg, hierarchical clustering) to identify PA behaviour patterns and supervised learning (eg, recurrent neural networks) to predict behavioural influences. …”
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  9. 189

    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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    The Performance of GPM IMERG Product Validated on Hourly Observations over Land Areas of Northern Hemisphere by Pengfei Lv, Guocan Wu

    Published 2024-11-01
    “…Climate Reference Network. The results showed a basic consistency in the spatial pattern of annual precipitation total between IMERG data and gauge observations. …”
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  14. 194

    Crack-Based Estimation of Seismic Damage Level in Confined Masonry Walls in the Lima Metropolitan Area Using Deep Learning Techniques by Miguel Diaz, Luis Lopez, Michel Amancio, Italo Inocente, Jhianpiere Salinas, Sergio Isuhuaylas, Erika Flores, Edisson Moscoso

    Published 2025-05-01
    “…The measured crack patterns were normalized into an index, which was then correlated with the amplitude of the lateral deformation in each hysteretic loop. …”
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    A Research on Black-box Evaluation Methods for Quantum Key Distribution Networks by DAI Hua, SUN Xin, MAO Yining, LI Yixuan, LÜ Yuxiang, WANG Hongyan, YU Xiaosong

    Published 2025-06-01
    “…It automatically adjusts the threshold based on abnormal fluctuations in network traffic patterns, thereby flexibly identifying and responding to DoS attacks.…”
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    Longitudinal evaluation of common and unique brain-networks in variants of primary progressive aphasia by Rajan Kashyap, Rose Dawn Bharath, Changsong Zhou, Kyrana Tsapkini, John E. Desmond, SH Annabel Chen, Kaviraja Udupa, PT Sivakumar, Sagarika Bhattacharjee

    Published 2025-08-01
    “…Since the subset of these subjects was scanned at the 6th and 12th months, the longitudinal changes in the rsfMRI networks were evaluated at each interval. Network features were correlated with clinical behaviours, and the longitudinal impact of the changes in these networks on behaviours was evaluated over the 12-month period. …”
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