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1–50 von 7,054 Ergebnissen
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    Einsatzindividuelles, intelligentes Energiemanagement im hybriden Nutzfahrzeug

    Freier Zugriff
    Palm, Kerstin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Integrating big data analytics in autonomous driving: An unsupervised hierarchical reinforcement learning approach

    Mao, Zhiqi / Liu, Yang / Qu, Xiaobo | Elsevier | 2024
    Schlagwörter: Reinforcement learning , Deep learning , Unsupervised skill learning

    A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs

    Freier Zugriff
    Serhat Sönmez / Matthew J. Rutherford / Kimon P. Valavanis | DOAJ | 2024
    Schlagwörter: offline learning , online learning , reinforcement learning , deep learning , machine learning

    Learning Driver Behavior Models for Predicting Urban Traffic Situations

    Freier Zugriff
    Sackmann, Moritz | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Probabilistic prediction of energy demand and driving range for electric vehicles with federated learning

    Freier Zugriff
    Thorgeirsson, Adam Thor | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Risk-aware and Robust Approaches for Machine Learning-supported Model Predictive Control for Iterative Processes

    Freier Zugriff
    Morabito, Bruno | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Applying Machine Learning Tools for Runway Configuration Decision Support

    K. M. Kalyanam / M. Memarzadeh / J. Crissman et al. | NTIS | 2024
    Schlagwörter: Machine learning , Q-learning

    Adaptive human-robot policy blending for shared control teleoperation

    Freier Zugriff
    Oh, Yoojin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data

    Freier Zugriff
    Haase-Schütz, Christian | TIBKAT | 2024
    Schlagwörter: Deep learning , Maschinelles Lernen

    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

    Deep Reinforcement Learning basierte Leistungsmanagementstrategie in 12 V-Bordnetzen

    Freier Zugriff
    Tan, Ömer | TIBKAT | 2024
    Schlagwörter: Deep learning , Bestärkendes Lernen

    Recent advances and prospects in hypersonic inlet design and intelligent optimization

    Ma, Yue / Guo, Mingming / Tian, Ye et al. | Elsevier | 2024
    Schlagwörter: Machine learning , Reinforcement learning

    Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning

    Sun, Jie / Yang, Hai | Elsevier | 2024
    Schlagwörter: Imitation learning , Adversarial inverse reinforcement learning

    The construction of a neural network proxy model for ship hull design based on multi-fidelity datasets and the parameter freezing strategy

    Ao, Yu / Li, Shaofan / Li, Yunbo et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep learning , machine 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

    Towards Fully Autonomous Drone Tracking by a Reinforcement Learning Agent Controlling a Pan–Tilt–Zoom Camera

    Freier Zugriff
    Mariusz Wisniewski / Zeeshan A. Rana / Ivan Petrunin et al. | DOAJ | 2024
    Schlagwörter: reinforcement learning , deep learning , machine learning

    Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes

    Freier Zugriff
    Wu, Liangdong / Wu, Jiaxi / Li, Zhengwei et al. | BASE | 2024
    Schlagwörter: Deep Learning in Manipulation , Reinforcement Learning

    Traffic Lights Control Using Reinforcement Learning: A Comparative Study

    Errajraji, Khalid / Bouayad, Anas / Fardousse, Khalid | Springer Verlag | 2024
    Schlagwörter: Reinforcement learning , Q-learning , Deep Q-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

    Quality of service provisioning optimization for coexisting services in vehicular communications via anticipatory networking

    Freier Zugriff
    Külzer, Daniel Fabian | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    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

    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

    Verfahrensentwicklung für Schaltzeitprognosen an verkehrsabhängigen Lichtsignalanlagen mit Hilfe maschinellen Lernens

    Freier Zugriff
    Schneegans, Lena Elisa | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    FedRDR: Federated Reinforcement Distillation-Based Routing Algorithm in UAV-Assisted Networks for Communication Infrastructure Failures

    Freier Zugriff
    Jie Li / Anqi Liu / Guangjie Han et al. | DOAJ | 2024
    Schlagwörter: reinforcement learning , federated learning

    Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach

    Li, Shuang / Pu, Ziyuan / Cui, Zhiyong et al. | Elsevier | 2024
    Schlagwörter: Causal machine learning , Doubly robust learning

    Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning

    Freier Zugriff
    Yuting Feng / Tao Yang / Yushu Yu | DOAJ | 2024
    Schlagwörter: offline reinforcement learning , online reinforcement learning

    Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah

    Gong, Yaobang / Isom, Tanner / Lu, Pan et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Intelligent Classification of Automotive Horn Sound Quality

    Mollah, Asfak / Mahanta, Tapan K. / Balide, Venkatesham | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTIS | 2024
    Schlagwörter: Machine learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling

    Yue, Lishengsa / Abdel-Aty, Mohamed / Zaki, Mohamed H. et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: inverse reinforcement learning

    Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings

    Freier Zugriff
    Sumanasena, Vidura / Fernando, Heshan / De Silva, Daswin et al. | BASE | 2024
    Schlagwörter: direct policy learning , imitation learning

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Vision-enhanced Peg-in-Hole for automotive body parts using semantic image segmentation and object detection

    Freier Zugriff
    Monica Sileo / Nicola Capece / Monica Gruosso et al. | BASE | 2024
    Schlagwörter: Deep learning

    Cooperative adaptive cruise control system for electric vehicles through a predictive deep reinforcement learning approach

    Moghaddam, Iman Tahbaz-zadeh / Ayati, Moosa / Taghavipour, Amir | SAGE Publications | 2024
    Schlagwörter: deep reinforcement learning (deep RL) , deep learning (DL)

    Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona

    Cottam, Adrian / Li, Xiaofeng / Ma, Xiaobo et al. | ASCE | 2024
    Schlagwörter: Machine learning

    Reinforcement Learning Based Parking Space Egress for Autonomous Driving

    Theerthala, Raghu Ram / A R, Vimal Kumar | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Optimal reinforcement learning and probabilistic-risk-based path planning and following of autonomous vehicles with obstacle avoidance

    Freier Zugriff
    Taghavifar, Hamid / Taghavifar, Leyla / Hu, Chuan et al. | SAGE Publications | 2024
    Schlagwörter: reinforcement learning

    Study of Derived Battery Features for Real-Time Estimation of SOH and RUL of EV Battery Using Data Analysis

    Nangare, Kapilraj / Nidubrolu, Kranthi / Gaikwad, Pooja | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Predicting passenger satisfaction in public transportation using machine learning models

    Ruiz, Elkin / Yushimito, Wilfredo F. / Aburto, Luis et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    LSTM-oriented Handover Decision-making with SVR-based Mobility Prediction in 5G Vehicular Networks

    Freier Zugriff
    Chowdhury, Shajib | BASE | 2024
    Schlagwörter: Machine Learning

    Cooperative pursuit with multiple pursuers based on Deep Minimax Q-learning

    Ji, Mengda / Xu, Genjiu / Duan, Zekun et al. | Elsevier | 2024
    Schlagwörter: Deep Minimax Q-learning

    Fast flow field prediction approach of supersonic inlet in wide operating range based on deep learning

    Zhong, Jiaxiang / Qu, Feng / Sun, Di et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023

    Azimov, Dilmurat | Springer Verlag | 2024
    Schlagwörter: Machine learning.

    Reconstruction and prediction of the rotor wake flow field in hovering state

    Gao, Hanting / Gao, Lei / Shi, Zheyu et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    Evolutionary Reinforcement Learning: Hybrid Approach for Safety-Informed Fault-Tolerant Flight Control

    Gavra, Vlad / van Kampen, Erik-Jan | AIAA | 2024
    Schlagwörter: Reinforcement Learning , Deep Reinforcement Learning

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Traffic congestion forecasting using multilayered deep neural network

    Kumar, Kranti / Kumar, Manoj / Das, Pritikana | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep learning