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201–250 von 3,697 Ergebnissen
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    Considerazioni sulla formazione mediante simulatori di condotta

    Capaccioli, Tanya | IuD Bahn | 2006
    Schlagwörter: Betriebliches Lernen

    Detection and classification of vehicle types using machine learning technology

    Freier Zugriff
    Adel Al-Shaher, Mohamed | BASE | 2019
    Schlagwörter: Vehicle Detection Recognition Machine Learning Classification Pre-trained Models Deep Learning

    Drones Chasing Drones: Reinforcement Learning and Deep Search Area Proposal

    Freier Zugriff
    Moulay A. Akhloufi / Sebastien Arola / Alexandre Bonnet | DOAJ | 2019
    Schlagwörter: deep learning , reinforcement learning

    Deep Decentralized Reinforcement Learning for Cooperative Control

    Freier Zugriff
    Köpf, Florian / Tesfazgi, Samuel / Flad, Michael et al. | BASE | 2020
    Schlagwörter: Reinforcement Learning , Deep Learning , Learning Control , Machine Learning

    Multiclass skin lesion classification using image augmentation technique and transfer learning models

    Swetha R, Naga / Shrivastava, Vimal K. / Parvathi, K. | Emerald Group Publishing | 2024
    Schlagwörter: Transfer learning , Deep learning

    Intelligent multi-branch allocation of spectrum slices for inter-numerology interference minimization

    Freier Zugriff
    Zambianco, Marco / Verticale, Giacomo | BASE | 2021
    Schlagwörter: Reinforcement learning

    Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies

    Freier Zugriff
    Tasjid, Md Shahriar / Marouf, Ahmed Al | BASE | 2021
    Schlagwörter: machine learning , deep learning

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Schlagwörter: Deep reinforcement learning

    Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories

    Kankashvar, Mohammadrasoul / Bolandi, Hossein / Mozayani, Nasser | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Maritime Energy Efficiency in a Sociotechnical System: A Collaborative Learning Synergy via Mediating Technologies

    Freier Zugriff
    Yemao Man / Monica Lundh / Scott MacKinnon | DOAJ | 2018
    Schlagwörter: Learning Synergy , Collaborative Learning Synergy , Collaborative Learning

    AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks

    Zhang, Wei / Zhu, Fenghua / Lv, Yisheng et al. | Elsevier | 2022
    Schlagwörter: Adaptive graph learning , Deep learning

    Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game

    Freier Zugriff
    Niël, Remi / Wiering, Marco | BASE | 2018
    Schlagwörter: Reinforcement Learning

    Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient

    Freier Zugriff
    Cabezas Olivenza, Mireya / Zulueta Guerrero, Ekaitz / Sánchez Chica, Ander et al. | BASE | 2023
    Schlagwörter: reinforcement learning , q-learning

    Modeling irregular small bodies gravity field via extreme learning machines and Bayesian optimization

    Furfaro, Roberto / Barocco, Riccardo / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Extreme learning machine

    Gait Trajectory and Gait Phase Prediction Based on an LSTM Network

    Freier Zugriff
    Su, Binbin / Gutierrez-Farewik, Elena | BASE | 2020
    Schlagwörter: machine learning , deep 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

    Predicting network flows from speeds using open data and transfer learning

    Freier Zugriff
    Mahajan, Vishal / Cantelmo, Guido / Rothfeld, Raoul et al. | Wiley | 2023
    Schlagwörter: deep learning , transfer learning

    Argumentation-Based Online Incremental Learning

    Freier Zugriff
    Ayoobi, Hamed / Cao, Ming / Verbrugge, Rineke et al. | BASE | 2022
    Schlagwörter: Argumentation-Based Learning , Online Incremental Learning

    Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment

    Freier Zugriff
    Arana-Arexolaleiba, Nestor | BASE | 2022
    Schlagwörter: machine learning , reinforcement learning

    Case-based adaptation for automotive engine electronic control unit calibration

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

    Learning-based restoration sequence ordering for multi-site traffic signal failure

    Zhao, Tingting / Zhang, Yu | Elsevier | 2021
    Schlagwörter: Machine learning , Learning-based optimization

    DRL-TP3: A learning and control framework for signalized intersections with mixed connected automated traffic

    Guo, Yi / Ma, Jiaqi | Elsevier | 2021
    Schlagwörter: Deep Reinforcement Learning , Learning and Control

    Rule-base Reduction in Fuzzy Rule Interpolation-based Q-learning

    Freier Zugriff
    Vincze, Dávid / Kovács, Szilveszter | BASE | 2015
    Schlagwörter: FRIQ-learning , reinforcement learning

    Deep-learning for ionogram automatic scaling

    Xiao, Zhuowei / Wang, Jian / Li, Juan et al. | Elsevier | 2020
    Schlagwörter: Deep-learning

    Grasping learning, optimization, and knowledge transfer in the robotics field

    Freier Zugriff
    Pozzi L. / Gandolla M. / Pura F. et al. | BASE | 2022
    Schlagwörter: machine learning

    Using virtual teams to map digital new generation learning environments into tertiary online learning space

    Freier Zugriff
    Page, Angela / Charteris, Jennifer / Berman, Jeanette | BASE | 2020
    Schlagwörter: new generation learning environment (NGLE) , online learning environment

    Human–robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization

    Freier Zugriff
    Roveda, Loris / Magni, Mauro / Cantoni, Martina et al. | BASE | 2020
    Schlagwörter: assembly task learning

    Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties

    Pham, Duc-Thinh / Tran, Phu N. / Alam, Sameer et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning , Learning environment

    Reinforcement learning-based multi-agent system for network traffic signal control

    Arel, I. / Liu, C. / Urbanik, T. et al. | IET | 2010
    Schlagwörter: learning (artificial intelligence)

      Reinforcement learning-based multi-agent system for network traffic signal control

      Arel, I. / Liu, C. / Urbanik, T. et al. | Tema Archiv | 2010
      Schlagwörter: Lernen

    Warning systems triggered by trains increase flight-initiation times of wildlife

    Backs, Jonathan A.J. / Nychka, John A. / St. Clair, Colleen Cassady | Elsevier | 2020
    Schlagwörter: Learning

    Automatic classification of traffic incident's severity using machine learning approaches

    Freier Zugriff
    Nguyen, Hoang / Cai, Chen / Chen, Fang | Wiley | 2017
    Schlagwörter: learning (artificial intelligence) , active learning , machine learning

      Automatic classification of traffic incident's severity using machine learning approaches

      Freier Zugriff
      Nguyen, Hoang / Cai, Chen / Chen, Fang | IET | 2017
      Schlagwörter: machine learning , active learning , learning (artificial intelligence)

    Deep learning for short-term traffic flow prediction

    Polson, Nicholas G. / Sokolov, Vadim O. | Elsevier | 2017
    Schlagwörter: Deep Learning

    Deep reinforcement learning-based energy management strategies for energy-efficient driving of hybrid electric buses

    Wang, Kunyu / Yang, Rong / Huang, Wei et al. | SAGE Publications | 2023
    Schlagwörter: generative adversarial imitation learning , deep reinforcement learning

    A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

    Basso, Franco / Pezoa, Raúl / Varas, Mauricio et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Machine learning for multi-jurisdictional optimal traffic corridor control

    Jacob, Celine / Abdulhai, Baher | Elsevier | 2009
    Schlagwörter: Machine learning , Reinforcement learning , Q-learning

    The Utilization of Virtual Laboratory in Learning: A Meta-Analysis

    Freier Zugriff
    Zaturrahmi, Zaturrahmi / Festiyed, Festiyed / Ellizar, Ellizar | BASE | 2020
    Schlagwörter: learning

    The role of double-loop learning in manufacturing supply chains. The study of the disruptions driven by COVID-19 in Poland

    Freier Zugriff
    Frankowska, Marzena / Swierczek, Artur / Cheba, Katarzyna | BASE | 2023
    Schlagwörter: organizational learning , double-loop learning

    Gea2: a Serious Game for Technology Enhanced Learning in STEM

    Freier Zugriff
    Ferro L. S. / Mecella M. / Sapio F. et al. | BASE | 2021
    Schlagwörter: Electronic learning , game-based learning , technology-enhanced learning

    New reinforcement learning algorithm for robot soccer

    Freier Zugriff
    Yoon, M / Bekker, J / Kroon, S | BASE | 2017
    Schlagwörter: Reinforcement learning , machine learning

    Semi-supervised double duelling broad reinforcement learning in support of traffic service in smart cities

    Freier Zugriff
    Tang, Jing / Wei, Xin / Zhao, Jialin et al. | IET | 2020
    Schlagwörter: semisupervised double duelling broad reinforcement learning , deep reinforcement learning approach , semisupervised learning , Q-learning network , supervised learning

      Semi‐supervised double duelling broad reinforcement learning in support of traffic service in smart cities

      Freier Zugriff
      Tang, Jing / Wei, Xin / Zhao, Jialin et al. | Wiley | 2020
      Schlagwörter: Q‐learning network , supervised learning , semisupervised learning , deep reinforcement learning approach , semisupervised double duelling broad reinforcement learning

    A Bayesian deep learning method for freeway incident detection with uncertainty quantification

    Liu, Genwang / Jin, Haolin / Li, Jiaze et al. | Elsevier | 2022
    Schlagwörter: Bayesian deep learning , Machine learning

    Quasi revenue-neutral congestion pricing in cities: Crediting drivers to avoid city centers

    Li, Ye / Ramezani, Mohsen | Elsevier | 2022
    Schlagwörter: Learning-based model predictive control , Machine learning

    Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning

    Cui, Pengfei / Yang, Xiaobao / Abdel-Aty, Mohamed et al. | Elsevier | 2024
    Schlagwörter: Hypergraph Learning , Self-Supervised Learning

    Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

    Parsa, Amir Bahador / Movahedi, Ali / Taghipour, Homa et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    An experimental study on visual tracking based on deep learning

    A, Krishna Mohan / PVN, Reddy / K, Satya Prasad | Emerald Group Publishing | 2021
    Schlagwörter: Deep learning

    Semisupervised fault diagnosis of aeroengine based on denoising autoencoder and deep belief network

    Lv, Defeng / Wang, Huawei / Che, Changchang | Emerald Group Publishing | 2022
    Schlagwörter: Unsupervised learning , Supervised learning

    PENGEMBANGAN MEDIA PEMBELAJARAN RODA PUTAR FISIKA UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA

    Freier Zugriff
    Hamzah Hamzah / Linda Sekar Utami / Zulkarnain Zulkarnain | DOAJ | 2020
    Schlagwörter: learning media development , learning motivation.

    Toward Developing Intelligent Mobile Obe System In Higher Learning Institution

    Freier Zugriff
    Abdifatah Farah Ali / Rusli Haji Abdulah / Mohamed M. Mohamed | BASE | 2020
    Schlagwörter: Higher learning institution , Teching and learning

    Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines

    Li, Bing / Xue, Shao-Kai / Fu, Yu-Hui et al. | Elsevier | 2024
    Schlagwörter: Transfer learning , Kernel extreme learning machine

    Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models

    Freier Zugriff
    Gian Maria Marconi / Raffaello Camoriano / Lorenzo Rosasco et al. | BASE | 2021
    Schlagwörter: structured machine learning