Showing 221 - 240 results of 2,202 for search 'distributed data low model', query time: 0.20s Refine Results
  1. 221

    The spatial-temporal distribution of soil-transmitted helminth infections in Guangdong Province, China: A geostatistical analysis of data derived from the three national parasitic... by Si-Yue Huang, Ying-Si Lai, Yue-Yi Fang

    Published 2022-07-01
    “…Bayesian geostatistical models were developed to analyze the above data, based on which, high-resolution maps depicting the STH infection risk were produced in the three survey years in Guangdong Province.…”
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    Article
  2. 222

    Three-Dimensional In Situ Stress Distribution in a Fault Fracture Reservoir, Linnan Sag, Bohai Bay Basin by Jiageng Liu, Yanzhong Wang, Jing Li, Xiaoyu Meng, Jiayi Teng, Zhicheng Wang, Mingzhi Li, Rui Zhu

    Published 2025-02-01
    “…This study integrates geological, logging, and seismic data, and employs advanced techniques such as ant tracking to establish a skeletal model of the fault fracture body. …”
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    Article
  3. 223

    MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement by Cheng da, Yongsheng Qian, Junwei Zeng, Xuting Wei, Futao Zhang

    Published 2025-01-01
    “…Low-light image enhancement (LLIE) remains a challenging task due to the complex degradation patterns in images captured under insufficient illumination, including non-linear intensity mappings, spatially-varying noise distributions, and content-dependent color distortions. …”
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  4. 224

    Vertical distribution and factors influencing tropical forest soil magnetic susceptibility in Xishuangbanna, Southwest China by Xiaoling Zhang, Xiaoling Zhang, Xiaoling Zhang, Haidong Wang, Haidong Wang, Hongzhan Liu, Hongzhan Liu, Haixia Li, Haixia Li, Haixia Li, Yucheng Shi, Guangyu Zheng, Fengrui Li, Daxiang Liu, Xiaoping Jiang, Erhui Ren, Gangqiang Li

    Published 2025-07-01
    “…Linear regression and structural equation modeling were used to explore the relationships between soil factors and χlf, to identify the main factors influencing the vertical distribution of soil χlf, and to analyze the processes and mechanisms by which various factors affect χlf. …”
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    Article
  5. 225

    Research on Distributed Robust Planning of Electric-Hydrogen-Gas Integrated Energy System Considering Demand Response by ZHANG Wenxuan, SU Jia, DU Xinhui, ZHANG Zhishuo, WANG Qianchun, JIANG Haipeng

    Published 2025-07-01
    “…[Objective] To completely exploit the coupling flexibility of the electric-hydrogen-gas-storage-demand response, a data-driven two-stage distributed robust collaborative planning model for integrated energy systems is proposed. …”
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  6. 226

    Distribution matters: Long-term quantification of the Sustainable Development Goals with household detail for different socio-economic pathways by Rienne Wilts, Wolfgang Britz

    Published 2024-01-01
    “…These results highlight the importance of including distributional aspects and disaggregated data in policy and socioeconomic development studies.…”
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  7. 227
  8. 228

    Lumen Degradation Lifetime Prediction for High-Power White LEDs Based on the Gamma Process Model by Mesfin Seid Ibrahim, Jiajie Fan, Winco K.C. Yung, Zeyu Wu, Bo Sun

    Published 2019-01-01
    “…An accelerated thermal degradation test was designed to gather luminous flux degradation data which was analyzed based on maximum likelihood estimation (MLE) and the method of moments (MM) to estimate the parameters for the GDD model. …”
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  9. 229

    Heterogeneous model for superdiffusive movement of dense core vesicles in C. elegans by Anna Gavrilova, Nickolay Korabel, Victoria J. Allan, Sergei Fedotov

    Published 2025-02-01
    “…According to the model, the first passage time distribution should follow a beta-negative binomial distribution with the same parameters as the DCV displacement distributions. …”
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  10. 230

    Optimization of Online Moisture Prediction Model for Paddy in Low-Temperature Circulating Heat Pump Drying System with Artificial Neural Network by Yi Zuo, Abdulaziz Nuhu Jibril, Jianchun Yan, Yu Xia, Ruiqiang Liu, Kunjie Chen

    Published 2025-04-01
    “…While existing studies on drying models often rely on laboratory-scale experiments with limited data, real-time and high-frequency data collection under industrial conditions remains underexplored. …”
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  11. 231
  12. 232

    The development of models of an analytical data processing system for monitoring information security of an informatization object using cloud infrastructure by V. A. Sizov, A. D. Kirov

    Published 2021-12-01
    “…The quality of the information security monitoring system is used as a criterion in the first optimization model. The following limitations are suggested: limitation on the time of making a decision on an incident; limitation on the degree of quality of analysis of information security events by the analytical data processing system and limitation on the compatibility of data analysis functions with data types about information security events. …”
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  13. 233

    Global Three‐Dimensional Ionospheric Tomography by Combination of Ground‐Based and Space‐Borne GNSS Data by Dengkui Mei, Xiaodong Ren, Hang Liu, Xuan Le, Si Xiong, Xiaohong Zhang

    Published 2023-04-01
    “…Abstract The inhomogeneous distribution of Global Navigation Satellite System (GNSS) data is a significant problem for global GNSS computerized ionospheric tomography (CIT). …”
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  14. 234

    Testing spatial transferability of species distribution models reveals differing habitat preferences for an endangered delphinid (Cephalorhynchus hectori) in Aotearoa, New Zealand by Steph Bennington, Peter W. Dillingham, Scott D. Bourke, Stephen M. Dawson, Elisabeth Slooten, William J. Rayment

    Published 2024-07-01
    “…Abstract Species distribution models (SDMs) can be used to predict distributions in novel times or space (termed transferability) and fill knowledge gaps for areas that are data poor. …”
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  15. 235
  16. 236

    Presence‐only species distribution models to predict suitability over a long‐term study for a species with a growing population by Tiffany M. MCfarland, Joseph A. Grzybowski, Heather A. Mathewson, Michael L. Morrison

    Published 2015-03-01
    “…ABSTRACT We used a long‐term data set of black‐capped vireo (Vireo atricapilla) detection locations collected between May and June of 1990 through 2005 within the Wichita Mountains of Oklahoma, USA, to determine how presence‐only distribution models change as a population expands to help focus conservation and management activities. …”
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  17. 237

    An Efficient Estimation of Time‐Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation by Yohei Sawada

    Published 2022-06-01
    “…In the present paper, an efficient and practical method to estimate time‐varying parameters of relatively low dimensional models is presented. In the newly proposed method, called Hybrid Offline Online Parameter Estimation with Particle Filtering (HOOPE‐PF), an inflation method to maintain the spread of ensemble members in a Sampling‐Importance‐Resampling Particle Filter (SIRPF) is improved using a non‐parametric posterior probabilistic distribution of time‐invariant parameters obtained by comparing simulated and observed climatology. …”
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  18. 238

    Seasonal and Meteorological Drivers of Hand, Foot, and Mouth Disease Outbreaks Using Data-Driven Machine Learning Models by Pakorn Lonlab, Suparinthon Anupong, Chalita Jainonthee, Sudarat Chadsuthi

    Published 2025-02-01
    “…Our findings showed that the XGBoost model outperformed the other models in predicting unseen data and defining the best model. …”
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  19. 239

    Development and Balance Evaluation for Land Use and Transport Interaction Using Node-Place Model and Data Envelopment Analysis by Xiaoyi Ma, Hongjie He, Mingmin Liu, An Jin

    Published 2024-01-01
    “…Conversely, the LoM model, grounded in data envelopment analysis methods, evaluates the relative relationship between transport services and the travel demand generated by land use. …”
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  20. 240

    Role of ADME genes in breast cancer prognosis: an analysis of risk scoring models based on multi-omics data by Jie Jin, Xueyun Zhao, Miao Deng, Lingyan Du

    Published 2025-06-01
    “…This model divided all patients into HR (High risk) and LR (Low risk) groups following the median risk score. …”
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