Synonyme wurden verwendet für: Ensemble
Suche ohne Synonyme: keywords:(Ensemble)

1–50 von 128 Ergebnissen
|

    Estimating discharges for poorly gauged river basin using ensemble learning regression with satellite altimetry data and a hydrologic model

    Kim, Donghwan / Lee, Hyongki / Beighley, Edward et al. | Elsevier | 2019
    Schlagwörter: Ensemble learning regression , Basic Ensemble Method (BEM)

    Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction

    Shahriari, Siroos / Ghasri, Milad / Sisson, S. A. et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: ensemble

    A class-specific soft voting framework for customer booking prediction in on-demand transport

    Kieu, Le-Minh / Ou, Yuming / Truong, Long T. et al. | Elsevier | 2020
    Schlagwörter: Ensemble

    Ensemble Climate Projection for Hydro-Meteorological Drought over a river basin in Central Highland, Vietnam

    Vu, M. T. / Raghavan, V. S. / Liong, S.-Y. | Springer Verlag | 2015
    Schlagwörter: ensemble climate projections

      Ensemble Climate Projection for Hydro-Meteorological Drought over a river basin in Central Highland, Vietnam

      Vu, M. T. / Raghavan, V. S. / Liong, S.-Y. | Online Contents | 2015
      Schlagwörter: ensemble climate projections

    Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach

    Chen, Xiqun (Michael) / Zahiri, Majid / Zhang, Shuaichao | Elsevier | 2016
    Schlagwörter: Ensemble learning

    Identification of land-use characteristics using bicycle sharing data: A deep learning approach

    Zhao, Jiahui / Fan, Wei / Zhai, Xuehao et al. | Elsevier | 2019
    Schlagwörter: Ensemble clustering

    The ensemble approach to forecasting: A review and synthesis

    Wu, Hao / Levinson, David | Elsevier | 2021
    Schlagwörter: Ensemble forecasting

    Assessment of Ensemble Flood Forecasting with Numerical Weather Prediction by considering Spatial Shift of Rainfall Fields

    Yu, Wansik / Nakakita, Eiichi / Kim, Sunmin et al. | Springer Verlag | 2018
    Schlagwörter: ensemble NWP rainfall

      Assessment of Ensemble Flood Forecasting with Numerical Weather Prediction by considering Spatial Shift of Rainfall Fields

      Yu, Wansik / Nakakita, Eiichi / Kim, Sunmin et al. | Online Contents | 2018
      Schlagwörter: ensemble NWP rainfall

    On improved nearshore bathymetry estimates from satellites using ensemble and machine learning approaches

    Surisetty, V.V. Arun Kumar / Venkateswarlu, Ch. / Gireesh, B. et al. | Elsevier | 2021
    Schlagwörter: Ensemble

    Modelling the energy consumption of electric vehicles under uncertain and small data conditions

    Liu, Yang / Zhang, Qi / Lyu, Cheng et al. | Elsevier | 2021
    Schlagwörter: Ensemble strategy

    Designing an optimal strategy for GMAO S2S ensemble forecast

    Anna Borovikov / Siegfried Schubert / Jelena Marshak | NTRS
    Schlagwörter: Ensemble forecast

    Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India

    Saha, Sunil / Roy, Jagabandhu / Pradhan, Biswajeet et al. | Elsevier | 2021
    Schlagwörter: Ensemble machine learning

    Seismic response evaluation of the RC elevated water tank with fluid-structure interaction and earthquake ensemble

    Omidinasab, F. / Shakib, H. | Springer Verlag | 2012
    Schlagwörter: ensemble earthquake records

      Seismic response evaluation of the RC elevated water tank with fluid-structure interaction and earthquake ensemble

      Omidinasab, F. / Shakib, H. | Online Contents | 2012
      Schlagwörter: ensemble earthquake records

    Pressure wave propagation characteristics in a two-phase flow pipeline for liquid-propellant rocket

    Li, Yanzhong / Li, Cui / Chen, Erfeng et al. | Elsevier | 2010
    Schlagwörter: Ensemble-averaging

    An ensemble deep learning based shoreline segmentation approach (WaterNet) from Landsat 8 OLI images

    Erdem, Firat / Bayram, Bulent / Bakirman, Tolga et al. | Elsevier | 2020
    Schlagwörter: Ensemble deep learning

    Physical interpretation of neural network-based nonlinear eddy viscosity models

    Zhang, Xin-Lei / Xiao, Heng / Jee, Solkeun et al. | Elsevier | 2023
    Schlagwörter: Ensemble Kalman inversion

    Bayesian flexible modeling of trip durations

    Chipman, Hugh / George, Edward / Lemp, Jason et al. | Elsevier | 2010
    Schlagwörter: Ensemble modeling

    Urban Road Traffic State Level Classification Based on Dynamic Ensemble Learning Algorithm

    Liu, Qingchao / Cai, Yingfeng / Jiang, Haobin et al. | ASCE | 2018
    Schlagwörter: dynamic ensemble learning

    Short-term metro passenger flow forecasting using ensemble-chaos support vector regression

    Shi, Zhuangbin / Zhang, Ning / Schonfeld, Paul M. et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: ensemble learning

    Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method

    Zhang, Weibin / Qi, Yong / Henrickson, Kristian et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: models ensemble

    Characterizing favored users of incentive-based traffic demand management program

    Tian, Ye / Li, Yudi / Sun, Jian et al. | Elsevier | 2021
    Schlagwörter: Ensemble empirical mode decomposition

    Railway accident prediction strategy based on ensemble learning

    Meng, Haining / Tong, Xinyu / Zheng, Yi et al. | Elsevier | 2022
    Schlagwörter: Ensemble learning

    Unlabeled scene adaptive crowd counting via meta-ensemble learning

    Ma, Chaoqun / Zeng, Jia / Shao, Penghui et al. | Elsevier | 2023
    Schlagwörter: Ensemble learning

    Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology

    Xie, Gang / Zhang, Ning / Wang, Shouyang | Elsevier | 2017
    Schlagwörter: Decomposition-ensemble methodology

    Ensemble-based model selection for imbalanced data to investigate the contributing factors to multiple fatality road crashes in Ghana

    Yahaya, Mahama / Guo, Runhua / Jiang, Xinguo et al. | Elsevier | 2020
    Schlagwörter: Ensemble classifiers

    Prediction of pedestrians’ wait-or-go decision using trajectory data based on gradient boosting decision tree

    Xin, Xiuying / Jia, Ning / Ling, Shuai et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble learning

    A gradient boosting method to improve travel time prediction

    Zhang, Yanru / Haghani, Ali | Elsevier | 2015
    Schlagwörter: Ensemble learning

    A deep learning approach to solar radio flux forecasting

    Stevenson, Emma / Rodriguez-Fernandez, Victor / Minisci, Edmondo et al. | Elsevier | 2021
    Schlagwörter: Ensemble

    Short-Term Passenger Flow Prediction for Urban Rail Based on Improved EEMD-Ensemble Learning

    Qiao, Yaoqin / Zhou, Huijuan / Zhang, Xiayu et al. | Springer Verlag | 2024
    Schlagwörter: Ensemble learning , Ensemble empirical mode decomposition

    Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones

    Rahman, Md Sharikur / Abdel-Aty, Mohamed / Hasan, Samiul et al. | Elsevier | 2019
    Schlagwörter: Ensemble technique

    Ensemble Risk Assessment in Support of the 2016 NEO Science Definition Team

    Mathias, Donovan / Wheeler, Lorien / Dotson, Jessie et al. | NTRS | 2017
    Schlagwörter: Ensemble Risk Assessment

    Forecasting container throughput based on wavelet transforms within a decomposition-ensemble methodology: a case study of China

    Xie, Gang / Qian, Yatong / Yang, Hewei | Taylor & Francis Verlag | 2019
    Schlagwörter: decomposition-ensemble methodology

    Identification of spin maneuver aerodynamic nonlinear model by applying ensemble empirical mode decomposition and extended multipoint modeling

    Mokhtari, MA / Sabzehparvar, M | SAGE Publications | 2019
    Schlagwörter: ensemble empirical mode decomposition

    CNN Ensemble Regularization Method Based on Diversity Measure for Marine Mammals Sound Recognition

    Yang, Honghui / Zeng, Zhiliang / Wang, Junlong et al. | Springer Verlag | 2022
    Schlagwörter: Ensemble learning , Selective ensemble learning

    Estimating model parameters of liquid rocket engine simulator using data assimilation

    Satoh, Daiwa / Tsutsumi, Seiji / Hirabayashi, Miki et al. | Elsevier | 2020
    Schlagwörter: Ensemble Kalman filter

    Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach

    Song, Yang / Hu, Xianbiao | Taylor & Francis Verlag | 2023
    Schlagwörter: ensemble learning

    Forest fire detection in aerial vehicle videos using a deep ensemble neural network model

    Sarikaya Basturk, Nurcan | Emerald Group Publishing | 2023
    Schlagwörter: Ensemble model

    Long-term travel time prediction using gradient boosting

    Chen, Che-Ming / Liang, Chia-Ching / Chu, Chih-Peng | Taylor & Francis Verlag | 2020
    Schlagwörter: ensemble method

    Ensemble based traffic light control for city zones using a reduced number of sensors

    Pescaru, Dan / Curiac, Daniel-Ioan | Elsevier | 2014
    Schlagwörter: Ensemble based system

    Real-time optimal control of a 6-DOF state-constrained close-proximity rendezvous mission

    Selim, Akan / Özkol, İbrahim | Elsevier | 2023
    Schlagwörter: Ensemble optimal control

    A new logit‐artificial neural network ensemble for mode choice modeling: a case study for border transport

    Gazder, Uneb | Online Contents | 2015
    Schlagwörter: logit‐artificial neural network ensemble

    Self-evolution direct thrust control for turbofan engine individuals based on reinforcement learning methods

    Zhu, Yiyang / Pan, Muxuan / Zhou, Wenxiang et al. | Elsevier | 2023
    Schlagwörter: Bootstrapped network ensemble

    Data-efficient modeling for power consumption estimation of quadrotor operations using ensemble learning

    Dai, Wei / Zhang, Mingcheng / Low, Kin Huat | Elsevier | 2023
    Schlagwörter: Ensemble learning

    Applying an ensemble-based model to travel choice behavior in travel demand forecasting under uncertainties

    Cheng, Long / Lai, Xinjun / Chen, Xuewu et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: Ensemble-based model

    Unmanned aerial vehicle path planning for traffic estimation and detection of non-recurrent congestion

    Yahia, Cesar N. / Scott, Shannon E. / Boyles, Stephen D. et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble Kalman filter