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

1–50 von 308 Ergebnissen
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    Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

    Zhang, Pujun / Lei, Dazhou / Liu, Shan et al. | Elsevier | 2024
    Schlagwörter: Inverse reinforcement learning , Meta-learning

    Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data

    Chauhan, Mamta / Sur, Koyel / Chauhan, Prakash et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    A fault tolerant neural network for space-based 3D printing quality assessment

    Tang, Jianning / Wu, Xiaofeng | Elsevier | 2024
    Schlagwörter: Machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning

    Amankulova, Khilola / Farmonov, Nizom / Omonov, Khasan et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data

    Chen, Liao / Ma, Shoufeng / Li, Changlin et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Research on the air brake system of heavy haul trains based on neural network

    Zhou, Xinyi / Cheng, Shu / Yu, Tianjian et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Efficient inventory routing for Bike-Sharing Systems: A combinatorial reinforcement learning framework

    Guo, Yuhan / Li, Jinning / Xiao, Linfan et al. | Elsevier | 2024
    Schlagwörter: Reinforcement learning

    Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa

    Mouafik, Mohamed / Fouad, Mounir / Audet, Felix Antoine et al. | Elsevier | 2024
    Schlagwörter: Machine Learning

    Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda

    Bhattacharya, Sourabh / Govindan, Kannan / Ghosh Dastidar, Surajit et al. | Elsevier | 2024
    Schlagwörter: Machine Learning

    Machine learning-aided generative design methodology for a Martian regolith habitation shell

    Dede, Gökhan | Elsevier | 2024
    Schlagwörter: Machine Learning

    Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review

    Yang, Ying / Liu, Yang / Li, Guorong et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Classification of Particulate Matter (PM2.5) Concentrations Using Feature Selection and Machine Learning Strategies

    Freier Zugriff
    Matara Caroline Mongina / Nyambane Simpson Osano / Yusuf Amir Okeyo et al. | DOAJ | 2024
    Schlagwörter: machine learning

    Deep learning-assisted near-Earth asteroid tracking in astronomical images

    Du, Zhenhong / Jiang, Hai / Yang, Xu et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    A reinforcement learning-based hyper-heuristic for AGV task assignment and route planning in parts-to-picker warehouses

    Li, Kunpeng / Liu, Tengbo / Ram Kumar, P.N. et al. | Elsevier | 2024
    Schlagwörter: Reinforcement learning

    A deep learning-based model for tropospheric wet delay prediction based on multi-layer 1D convolution neural network

    Bi, Haohang / Huang, Liangke / Zhang, Hongxing et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning

    Sarosi, Robert / Montomoli, Francesco / Li, Zhihui et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

    Li, Huanhuan / Jiao, Hang / Yang, Zaili | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    Benchmarking deep learning approaches for all-vs-all conjunction screening

    Stevenson, Emma / Rodriguez-Fernandez, Victor / Urrutxua, Hodei et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Machine learning

    AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning

    Liu, Shan / Zhang, Ya / Wang, Zhengli et al. | Elsevier | 2023
    Schlagwörter: Inverse reinforcement learning , Ensemble learning

    Prediction of ionospheric total electron content data using spatio-temporal residual network

    Shenvi, Nayana / Chandrasekhar, E. / Kumar, Anurag et al. | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    Towards efficient airline disruption recovery with reinforcement learning

    Ding, Yida / Wandelt, Sebastian / Wu, Guohua et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning

    Spacecraft attitude fault-tolerant stabilization against loss of actuator Effectiveness: A novel iterative learning sliding mode approach

    Jia, Qingxian / Ma, Rui / Zhang, Chengxi et al. | Elsevier | 2023
    Schlagwörter: Iterative Learning observer , Iterative Learning sliding mode control

    A new deep learning approach for hyperspectral image classification based on multifeature local kernel descriptors

    Asghari Beirami, Behnam / Mokhtarzade, Mehdi | Elsevier | 2023
    Schlagwörter: Deep learning

    Ionospheric foF2 nowcast based on a machine learning GWO-ALSTM model

    Yang, Zheng / Qiao, Lei / Su, Mingkun et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Efficient and accurate TEC modeling and prediction approach with random forest and Bi-LSTM for large-scale region

    Jiang, Zixin / Zhang, Zhetao / He, Xiufeng et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Inertia matrix identification of combined spacecraft using a deep neural network with optimized network structure

    Wu, Shunan / Chu, Weimeng / Wu, Zhigang et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Downscaling of GPM satellite precipitation products based on machine learning method in complex terrain and limited observation area

    Wang, Hao / Li, Zhi / Zhang, Tao et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Optimization of ride-sharing with passenger transfer via deep reinforcement learning

    Wang, Dujuan / Wang, Qi / Yin, Yunqiang et al. | Elsevier | 2023
    Schlagwörter: Deep reinforcement learning

    Multi-class classification of ionospheric scintillations using SMOTE-Super Learner ensemble technique

    Srivani, I. / Sridhar, M. / Swamy, K.C.T. et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2

    Merchant, Michael A. | Elsevier | 2023
    Schlagwörter: Machine Learning

    Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake

    Qasim, Muhammad / Shah, Munawar / Shahzad, Rasim et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Composition and source based aerosol classification using machine learning algorithms

    Annapurna, S.M / Anitha, M. / Sutha Kumar, Lakshmi | Elsevier | 2023
    Schlagwörter: Machine learning

    On adaptive attitude tracking control of spacecraft: A reinforcement learning based gain tuning way with guaranteed performance

    Wei, Caisheng / Xiong, Yunwen / Chen, Qifeng et al. | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Vehicle yaw stability control with a two-layered learning MPC

    Zhang, Zhiming / Xie, Lei / Lu, Shan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: model learning

    Hemispheric prediction of solar cycle 25 based on a deep learning technique

    Prasad, Amrita / Roy, Soumya / Sarkar, Arindam | Elsevier | 2023
    Schlagwörter: Deep learning

    Deep reinforcement learning spacecraft guidance with state uncertainty for autonomous shape reconstruction of uncooperative target

    Brandonisio, Andrea / Capra, Lorenzo / Lavagna, Michèle | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Deep learning-based solar image captioning

    Baek, Ji-Hye / Kim, Sujin / Choi, Seonghwan et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Estimation of grassland height using optical and SAR remote sensing data

    Zhang, Lei / Ren, Hongrui | Elsevier | 2023
    Schlagwörter: Machine learning method

    Improving IRI-2016 global total electron content maps using ELM neural network

    Dehvari, Masoud / Karimi, Sedigheh / Farzaneh, Saeed et al. | Elsevier | 2023
    Schlagwörter: Extremely Learning Machine

    Prediction of crop yield using satellite vegetation indices combined with machine learning approaches

    Jhajharia, Kavita / Mathur, Pratistha | Elsevier | 2023
    Schlagwörter: Machine Learning

    Machine learning-based approach for ballistic coefficient estimation of resident space objects in LEO

    Cimmino, N. / Opromolla, R. / Fasano, G. | Elsevier | 2023
    Schlagwörter: Machine learning

    A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections

    Yang, Zhisen / Yu, Qing / Yang, Zaili et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    This is what’s in store for you: How online social learning affects product positioning

    Li, Feng / Du, Timon C. / Wei, Ying | Elsevier | 2023
    Schlagwörter: Social learning

    Automatic detection for small-scale lunar impact crater using deep learning

    Zhang, Shuowei / Zhang, Peng / Yang, Juntao et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Experience-based territory planning and driver assignment with predicted demand and driver present condition

    Li, Yifu / Zhou, Chenhao / Yuan, Peixue et al. | Elsevier | 2023
    Schlagwörter: Learning effect