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

1–50 von 159 Ergebnissen
|

    A computational approach for real-time stochastic recovery of electric power networks during a disaster

    Inanlouganji, Alireza / Pedrielli, Giulia / Reddy, T. Agami et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    A corollary to: Duane's postulate on reliability growth (avionics)

    Frank, D.G. | Tema Archiv | 1989
    Schlagwörter: DUANE LEARNING CURVE

    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

    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

    A Decentralized Multi-agent Energy Management Strategy Based on a Look-Ahead Reinforcement Learning Approach

    Khalatbarisoltani, Arash / Boulon, Loic / Kandidayeni, Mohsen et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A digital protection system incorporating knowledge based learning (for space power systems)

    Watson, K. / Russell, B.D. / McCall, K. | Tema Archiv | 1989
    Schlagwörter: KNOWLEDGE BASED LEARNING

    A dynamic routing protocol with payments for the Physical Internet: A simulation with learning agents

    Briand, Martin / Franklin, Rod / Lafkihi, Mariam | Elsevier | 2022
    Schlagwörter: Learning agents

    A graphics simulation system - task emulation not equipment modeling

    Dallman, B.E. / Pieper, W.J. / Richardson, J.J. | Tema Archiv | 1983
    Schlagwörter: STUDENT LEARNING

    A green delivery-pickup problem for home hemodialysis machines; sharing economy in distributing scarce resources

    Asghari, Mohammad / Mirzapour Al-e-hashem, S. Mohammad J. | Elsevier | 2019
    Schlagwörter: Self-learning NSGA-II

    Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach

    Gerardo Muros Anguita, Juan / Díaz Olariaga, Oscar | Elsevier | 2023
    Schlagwörter: Machine learning , Deep 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

    A low-cost altitude control system for the Kadet Senior radio-controlled airplane

    Abusleme, A. / Cipriano, A. / Guarini, M. | Tema Archiv | 2003
    Schlagwörter: Lernen

    A machine learning approach to identifying decision-making styles for managing customer relationships

    Tudoran, Ana Alina | Online Contents | 2022
    Schlagwörter: Machine learning

    A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection

    Yang, Zhisen / Wan, Chengpeng / Yu, Qing et al. | Elsevier | 2023
    Schlagwörter: ITAN learning

    A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations

    Bongiovanni, Claudia / Kaspi, Mor / Cordeau, Jean-François et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    A machine learning model to predict runway exit at Vienna airport

    Herrema, Floris / Curran, Ricky / Hartjes, Sander et al. | Elsevier | 2019
    Schlagwörter: Machine Learning

    A multi-view attention-based spatial–temporal network for airport arrival flow prediction

    Yan, Zhen / Yang, Hongyu / Wu, Yuankai et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    An adaptive learning model in coordination games

    Freier Zugriff
    Funai, Naoki | BASE | 2013
    Schlagwörter: learning

    Analyzing changes in travel patterns due to Covid-19 using Twitter data in India

    Shende, Swapnil / Bhaduri, Eeshan / Goswami, Arkopal Kishore | Elsevier | 2023
    Schlagwörter: Machine learning

    An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

    Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    An artificial neural networks approach on automobile pricing

    Iseri, A. / Karlik,B. | Tema Archiv | 2009
    Schlagwörter: Lernen

    An expert system based on artificial neural network for predicting the tensile behavior of tailor welded blanks

    Veera Babu, K. / Ganesh Narayanan, R. / Saravana Kumar, G. | Tema Archiv | 2009
    Schlagwörter: Lernen

    An improved learning-and-optimization train fare design method for addressing commuting congestion at CBD stations

    Chen, Xinyuan / Zhang, Wei / Guo, Xiaomeng et al. | Elsevier | 2021
    Schlagwörter: Learning-and-optimization

    A novel CNN-DDPG based AI-trader: Performance and roles in business operations

    Luo, Suyuan / Lin, Xudong / Zheng, Zunxin | Elsevier | 2019
    Schlagwörter: Reinforcement learning

    A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption

    Khan, Waqar Ahmed / Chung, Sai-Ho / Ma, Hoi-Lam et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    An Unsupervised Machine-Learning Technique for the Definition of a Rule-Based Control Strategy in a Complex HEV

    Spessa, Ezio / Venditti, Mattia / Finesso, Roberto | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Application of machine learning to characterize uneconomical managed lane choice behaviour

    Sharifi, Farinoush / Burris, Mark W. | Elsevier | 2019
    Schlagwörter: Machine learning

    Application of machine learning to investigate heterogeneity in users’ perception of intercity train service quality in developing countries

    Farazi, Nahid Parvez / Murshed, Mohammad Neaz / Hadiuzzaman, Md | Elsevier | 2021
    Schlagwörter: Application of 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

    Applications of machine learning methods in port operations – A systematic literature review

    Filom, Siyavash / Amiri, Amir M. / Razavi, Saiedeh | Elsevier | 2022
    Schlagwörter: Machine 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

    Artificial intelligence and machine learning

    Freier Zugriff
    Kühl, Niklas / Schemmer, Max / Goutier, Marc et al. | Online Contents | 2022
    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

    A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations

    Asadi, Amin / Nurre Pinkley, Sarah | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    A Study on Web2.0 Blending Learning

    Cheng, Rui | Springer Verlag | 2012
    Schlagwörter: blending learning , learning model

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Automated Expert Knowledge-Based Deep Reinforcement Learning Warm Start via Decision Tree for Hybrid Electric Vehicle Energy Management

    Xu, Bin / Wang, Hanchen / Zhang, Jiangfeng et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Beitrag zur durchgängigen und methodenbasierten Entwicklung von Antriebssträngen mittels Bewertung ihrer RDE-Kritikalität

    Steinhaus, Tim / Technische Universität Darmstadt / Shaker Verlag | TIBKAT | 2022
    Schlagwörter: Deep learning

    Beyond brain training: Cognitive science and instructional systems design

    Hotes, R.W. | Tema Archiv | 1989
    Schlagwörter: LERNEN

    Case-based adaptation for automotive engine electronic control unit calibration

    Vong, Chi-man / Wong, Pak-Kin | Tema Archiv | 2010
    Schlagwörter: Lernen

    Chancen und Herausforderungen des digitalen Lernens : Methoden und Werkzeuge für innovative Lehr-Lern-Konzepte

    Leimeister, Jan Marco / David, Klaus | TIBKAT | 2019
    Schlagwörter: Lernen , Learning.

      Chancen und Herausforderungen des digitalen Lernens : Methoden und Werkzeuge für innovative Lehr-Lern-Konzepte

      Leimeister, Jan Marco / David, Klaus | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2019
      Schlagwörter: Lernen , Learning.

    Clustering sensor data for autonomous terrain identification using time-dependency

    Giguere, Philippe / Dudek, Gregory | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    Cognitive automation

    Engel, Christian / Ebel, Philipp / Leimeister, Jan Marco | Online Contents | 2022
    Schlagwörter: Machine learning

    Collaborative robot assisted smart needle placement

    Freier Zugriff
    Neidhardt, Maximilian / Gerlach, Stefan / Laves, Max-Heinrich et al. | BASE | 2021
    Schlagwörter: machine learning

    Computer based training in der Audi V6-Motormontage

    Schneider, M. | Tema Archiv | 1991
    Schlagwörter: LERNEN

    Computers and railroad history: an essay on historical opportunities

    Black, P.V. | Tema Archiv | 1978
    Schlagwörter: LERNEN

    Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data

    Zhang, Wen / Yan, Shaoshan / Li, Jian et al. | Elsevier | 2022
    Schlagwörter: Multi-modal learning

    Data mining for quality control: Burr detection in the drilling process

    Ferreiro, Susana / Sierra, Basilio / Irigoien, Itziar et al. | Tema Archiv | 2011
    Schlagwörter: Lernen , maschinelles Lernen

    Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems

    Guo, Feng / Wei, Qu / Wang, Miao et al. | Elsevier | 2023
    Schlagwörter: Deep reinforcement learning