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Mostrando 141 - 160 Resultados de 475 Para Buscar '"KDE"', tiempo de consulta: 0.27s Limitar resultados
  1. 141
    por Hu, Di, Zhang, Chen, Yang, Tao, Chen, Gang
    Publicado 2020
    “…The reasonable range is obtained using kernel density estimation (KDE) with a 99% confidence interval, and the OR is monitored to detect abnormalities in real-time. …”
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    Online Artículo Texto
    Anomaly Detection of Power Plant Equipment Using Long Short-Term Memory Based Autoencoder Neural Network
  2. 142
    “…We here show that the local repertoire density can be estimated using a combined representation of these components through distance conserving autoencoders and Kernel Density Estimates (KDE). We present ELATE–an Encoder-based LocAl Tcr dEnsity and show that the resulting density of a sample can be used as a novel measure to study repertoire properties. …”
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    Online Artículo Texto
    Autoencoder based local T cell repertoire density can be used to classify samples and T cell receptors
  3. 143
    “…In order to calculate the (h,φ)-entropy, the kernel density estimation (KDE) algorithm is used to estimate the probability density function (PDF) of the tracking error. …”
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    Online Artículo Texto
    Superheating Control of ORC Systems via Minimum (h,φ)-Entropy Control
  4. 144
    por Şenol, Ali
    Publicado 2022
    “…In the VIASCKDE Index, we used separation and compactness of each data to support arbitrary-shaped clusters and utilized the kernel density estimation (KDE) to give more weight to the denser areas in the clusters to support cluster compactness. …”
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    Online Artículo Texto
    VIASCKDE Index: A Novel Internal Cluster Validity Index for Arbitrary-Shaped Clusters Based on the Kernel Density Estimation
  5. 145
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    First Year of Operations in the HiRadMat Irradiation Facility at CERN
  6. 146
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    Proton-neutron pairing correlations in the self conjugate nucleus $^{38}$K probed via a direct measurement of the isomer shift
  7. 147
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    A measurement of $\Omega$ from the North American test flight of BOOMERANG
  8. 148
    “…The load forecast provided by a calibrated white-box model and a real weather forecast was classified and hierarchically selected to perform a kernel density estimation (KDE) using only similar days from the database characterized quantitatively and qualitatively. …”
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    Online Artículo Texto
    Probabilistic Load Forecasting Optimization for Building Energy Models via Day Characterization
  9. 149
    Publicado 2020
    “…Based on infection rates and reported deaths, hot spots were determined by applying the kernel density estimation (KDE) to the groups that have been previously obtained using a clustering algorithm together with the elbow method. …”
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    Online Artículo Texto
    Surveillance Routing of COVID-19 Infection Spread Using an Intelligent Infectious Diseases Algorithm
  10. 150
    “…To fill this gap, we first calculate the dynamic carbon emission efficiency of China’s logistics industry (CEELI) (2001–2017) using the three-stage DEA-Malmquist model, and then using the Dagum Gini coefficient method, the Kernel Density Estimation (KDE), and the panel vector auto-regression (PVAR) model to analyze regional differential decomposition and their formation mechanism. …”
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    Online Artículo Texto
    Regional Differential Decomposition and Formation Mechanism of Dynamic Carbon Emission Efficiency of China’s Logistics Industry
  11. 151
    “…A photointerpretation method and the kernel density estimation (KDE) tool implemented in ArcGIS Desktop 10.7.1 software were applied in the study. …”
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    Online Artículo Texto
    Detecting the Severity of Socio-Spatial Conflicts Involving Wild Boars in the City Using Social Media Data
  12. 152
    por Su, Hao, Yang, Shuo
    Publicado 2022
    “…This paper introduced carbon emissions into the input-output indicator system, measured ULGUE of 57 cities in the Yellow River Basin (YRB) over the 2004–2017 periods using the super-efficiency slacked-based measure (Super-SBM) model, analyzed its spatio-temporal patterns with the kernel density estimation (KDE) model and spatial autocorrelation model, and then identified the influencing factors with the Spatial Durbin model (SDM). …”
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    Online Artículo Texto
    Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China
  13. 153
    “…Thirdly, a multi-critics network structure is adopted to solve the problem of inaccurate Q-value estimation, which is the key to improving the prediction accuracy of the model. Finally, KDE is introduced to determine the fault threshold to judge whether the residual error is abnormal after EWMA processing. …”
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    Online Artículo Texto
    A Fault Detection Method Based on an Oil Temperature Forecasting Model Using an Improved Deep Deterministic Policy Gradient Algorithm in the Helicopter Gearbox
  14. 154
    “…Based on the data of high-grade tourist attractions on the Tibetan Plateau, the spatial heterogeneity and influence factors are studied employing the Standard Deviation Ellipse (SDE), Kernel Density Estimation (KDE), spatial autocorrelation (SA), and modified tourism gravity model methods. …”
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    Online Artículo Texto
    Spatial Heterogeneity and Influencing Factors of High-Grade Tourist Attractions in the Tibetan Plateau
  15. 155
    “…The ethanol as well as methanol-acetone-water (3:1:1) extracts of K. drymeia (KDE and KDM) exhibited great ability to scavenge free radicals and good capacity to inhibit cyclooxygenase-1, cyclooxygenase-2, and lipoxygenase. …”
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    Online Artículo Texto
    The Anti-Acne Potential and Chemical Composition of Knautia drymeia Heuff. and Knautia macedonica Griseb Extracts
  16. 156
    “…Frequently occurring δREC–ψJα T-cell receptor excision circles (TRECs) have been used to assess thymic output and intronRSS–Kde recombination excision circles (KREC) to quantify B-cell replication history. …”
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    PID Comes Full Circle: Applications of V(D)J Recombination Excision Circles in Research, Diagnostics and Newborn Screening of Primary Immunodeficiency Disorders
  17. 157
    “…This study also analyzes temporal variations of urban and rural water poverty by the kernel density estimation (KDE). We found that the level of water poverty is gradually declining over time and the improvements in urban and rural areas are not harmonious. …”
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    Online Artículo Texto
    Synergetic Relationship between Urban and Rural Water Poverty: Evidence from Northwest China
  18. 158
    “…The composed data is converted to geographic information system (GIS) type and assessed using temporal statistical analysis and spatial statistical analysis using kernel density estimation (KDE) assessment. We have applied various algorithms and trained machine learning models and finally satisfied with sequential model results because the accuracy we got was leading amongst others. …”
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    Online Artículo Texto
    Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data
  19. 159
    “…Kernel density estimation (KDE) is used to complete the information about the density distribution of the image further to enhance the visual difference between the normal and fault samples. …”
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    Online Artículo Texto
    A Visual Fault Detection Method for Induction Motors Based on a Zero-Sequence Current and an Improved Symmetrized Dot Pattern
  20. 160
    “…For every subgroup, the kernel density estimation (KDE) of each parameter was calculated and the p-value histogram of the parameters together was obtained, in order to compare the subgroups and to extract information about the children’s exposure. …”
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    Online Artículo Texto
    Characterization of Children’s Exposure to Extremely Low Frequency Magnetic Fields by Stochastic Modeling
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