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201–250 von 677 Ergebnissen
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    Review of UAV Obstacle Avoidance Algorithms

    Freier Zugriff
    Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie Xiaowei | DOAJ | 2021
    Schlagwörter: |uav|obstacle avoidance|optimization|potential field|machine learning|artificial intelligence|autonomous control

    The Study on a Fighter Against a Medium-range Air-to-air Missile Based on Deep Deterministic Policy Gradient Algorithm

    Freier Zugriff
    SONG Hongchuan / ZHAN Hao / XIA Lu et al. | DOAJ | 2021
    Schlagwörter: deep reinforcement learning

    Flying Free: A Research Overview of Deep Learning in Drone Navigation Autonomy

    Freier Zugriff
    Thomas Lee / Susan Mckeever / Jane Courtney | DOAJ | 2021
    Schlagwörter: deep learning

    A Review on Fatigue Detection and Management for Air Traffic Controllers

    Freier Zugriff
    SHEN Zhiyuan / WEI Yitao / YAN Yonggang et al. | DOAJ | 2021
    Schlagwörter: deep learning

    Deep adaptive learning for safe and efficient navigation of pedestrian dynamics

    Freier Zugriff
    Nigel Pugh / Hyoshin Park / Pierrot Derjany et al. | DOAJ | 2021
    Schlagwörter: Learning in AI (theory)

    Ensemble machine learning based driving range estimation for real‐world electric city buses by considering battery degradation levels

    Freier Zugriff
    Yongxing Wang / Chaoru Lu / Jun Bi et al. | DOAJ | 2021
    Schlagwörter: Machine learning (artificial intelligence)

    Women Writing Portuguese Colonialism in Africa

    Freier Zugriff
    Joana Passos | DOAJ | 2021
    Schlagwörter: History of scholarship and learning. The humanities

    VEHICLE CLASSIFICATION USING THE CONVOLUTION NEURAL NETWORK APPROACH

    Freier Zugriff
    Janak TRIVEDI / Mandalapu Sarada DEVI / Dave DHARA | DOAJ | 2021
    Schlagwörter: deep learning

    A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series

    Freier Zugriff
    Jianqing Wu / Bo Du / Qiang Wu et al. | DOAJ | 2021
    Schlagwörter: deep learning

    Modelling self-reported driver perspectives and fatigued driving via deep learning

    Freier Zugriff
    Alexandros Zoupos / Apostolos Ziakopoulos / George Yannis | DOAJ | 2021
    Schlagwörter: deep learning

    Artificial Intelligence potential within airlines: a review on how AI can enhance strategic decision-making in times of COVID-19

    Freier Zugriff
    Darío Pérez-Campuzano / Patricio Morcillo Ortega / Luis Rubio Andrada et al. | DOAJ | 2021
    Schlagwörter: artificial intelligence, machine learning, airlines, strategic decision-making, covid-19

    Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning

    Freier Zugriff
    Häfner, Bernhard / Jiru, Josef / Schepker, Henning et al. | Fraunhofer Publica | 2021
    Schlagwörter: machine learning

    Deep Learning Architectures for Skateboarder–Pedestrian Surrogate Safety Measures

    Freier Zugriff
    Chowdhury Erfan Shourov / Mahasweta Sarkar / Arash Jahangiri et al. | DOAJ | 2021
    Schlagwörter: deep learning

    Incorporation of Modeling, Simulation, and Game-Based Learning in Engineering Dynamics Education towards Improving Vehicle Design and Driver Safety

    Freier Zugriff
    Kevin F. Hulme / Mark Schiferle / Rachel Su Ann Lim et al. | DOAJ | 2021
    Schlagwörter: game-based learning

    Journal Bearing Performance Prediction Using Machine Learning and Octave-Band Signal Analysis of Sound and Vibration Measurements

    Freier Zugriff
    Moschopoulos Marios / Rossopoulos Georgios N. / Papadopoulos Christos I. | DOAJ | 2021
    Schlagwörter: machine learning algorithms

    Prediction of ship power based on variation in deep feed-forward neural network

    Freier Zugriff
    June-Beom Lee / Myung-Il Roh / Ki-Su Kim | DOAJ | 2021
    Schlagwörter: Deep learning

    How Just Culture and Personal Goals Moderate the Positive Relation between Commercial Pilots’ Safety Citizenship Behavior and Voluntary Incident Reporting

    Freier Zugriff
    Sebastian Sieberichs / Annette Kluge | DOAJ | 2021
    Schlagwörter: learning from incidents (LFI)

    PLSAV: Parallel loop searching and verifying for loop closure detection

    Freier Zugriff
    Zhe Yang / Yun Pan / Lei Deng et al. | DOAJ | 2021
    Schlagwörter: Machine learning (artificial intelligence)

    A Sound-based Machine Learning to Predict Traffic Vehicle Density

    Freier Zugriff
    Geoferleen Flores / Eduardo Jr. Piedad / Anzeneth Figueroa et al. | DOAJ | 2021
    Schlagwörter: machine learning

    Deep Q‐network implementation for simulated autonomous vehicle control

    Freier Zugriff
    Yang Thee Quek / Li Ling Koh / Ngiap Tiam Koh et al. | DOAJ | 2021
    Schlagwörter: Learning in AI (theory)

    A two‐step abnormal data analysis and processing method for millimetre‐wave radar in traffic flow detection applications

    Freier Zugriff
    Haiqing Liu / Kunmin Teng / Laxmisha Rai et al. | DOAJ | 2021
    Schlagwörter: Other learning models (inc. Naive Bayes)

    Using reinforcement learning to minimize taxi idle times

    O’Keeffe, Kevin / Anklesaria, Sam / Santi, Paolo et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning , reinforcement learning

    Learning through policy transfer? Reviewing a decade of scholarship for the field of transport

    Freier Zugriff
    Glaser, Meredith / Bertolini, Luca / te Brömmelstroet, Marco et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: policy learning , learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    Multiple-UAV Reinforcement Learning Algorithm Based on Improved PPO in Ray Framework

    Freier Zugriff
    Guang Zhan / Xinmiao Zhang / Zhongchao Li et al. | DOAJ | 2022
    Schlagwörter: deep reinforcement learning , curriculum learning

    Performance evaluation of mode choice models under balanced and imbalanced data assumptions

    Rezaei, Shahrbanoo / Khojandi, Anahita / Haque, Antora Mohsena et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: imbalanced learning , machine learning

    Deep Reinforcement Learning with Corrective Feedback for Autonomous UAV Landing on a Mobile Platform

    Freier Zugriff
    Lizhen Wu / Chang Wang / Pengpeng Zhang et al. | DOAJ | 2022
    Schlagwörter: deep reinforcement learning , interactive learning

    Detecting transportation modes using smartphone data and GIS information: evaluating alternative algorithms for an integrated smartphone-based travel diary imputation

    Liu, Yicong / Miller, Eric / Habib, Khandker Nurul | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning , tree-based ensemble learning

    Shipping market forecasting by forecast combination mechanism

    Gao, Ruobin / Liu, Jiahui / Du, Liang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning

    Freier Zugriff
    Yongfeng Yin / Yang Guo / Qingran Su et al. | DOAJ | 2022
    Schlagwörter: deep reinforcement learning , transfer learning

    Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach

    Mohammed, Hossameldin / Sayed, Tarek / Bigazzi, Alexander | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    A data-driven lane-changing behavior detection system based on sequence learning

    Gao, Jun / Murphey, Yi Lu / Yi, Jiangang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: sequence learning

    Uplink Throughput Maximization in UAV-Aided Mobile Networks: A DQN-Based Trajectory Planning Method

    Freier Zugriff
    Yuping Lu / Ge Xiong / Xiang Zhang et al. | DOAJ | 2022
    Schlagwörter: deep reinforcement learning , Q-learning

    Application of algorithmic models of machine learning to the freight transportation process

    Freier Zugriff
    Viktoriia Kotenko | DOAJ | 2022
    Schlagwörter: machine learning , algorithmic models of machine learning

    Station-level short-term demand forecast of carsharing system via station-embedding-based hybrid neural network

    Zhao, Feifei / Wang, Weiping / Sun, Huijun et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Machine learning

    Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors

    Freier Zugriff
    Yuan-Kai Wang / Jonathan Guo / Tung-Ming Pan | DOAJ | 2022
    Schlagwörter: multitask learning , multidomain joint learning

    Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning

    Freier Zugriff
    LI Junsheng / YUE Longfei / ZUO Jialiang et al. | DOAJ | 2022
    Schlagwörter: deep learning , deep reinforcement learning

    Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network

    Taleongpong, Panukorn / Hu, Simon / Jiang, Zhoutong et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Real-time traffic incident detection based on a hybrid deep learning model

    Li, Linchao / Lin, Yi / Du, Bowen et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach

    Freier Zugriff
    Limon Barua / Bo Zou | DOAJ | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021

    Schüppstuhl, Thorsten | Katalog Medizin | 2022
    Schlagwörter: Machine learning

    Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique

    Freier Zugriff
    Dana Mohammed Ali / Haval A.Sadeq | DOAJ | 2022
    Schlagwörter: deep learning

    Reinforcement learning-enabled genetic algorithm for school bus scheduling

    Köksal Ahmed, Eda / Li, Zengxiang / Veeravalli, Bharadwaj et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning

    SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection

    Freier Zugriff
    Esra Kavalci Yilmaz / M. Ali Akcayol | DOAJ | 2022
    Schlagwörter: deep learning

    Integrating data-driven and simulation models to predict traffic state affected by road incidents

    Shafiei, Sajjad / Mihăiţă, Adriana-Simona / Nguyen, Hoang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model

    Hesam Hafezi, Mohammad / Sultana Daisy, Naznin / Millward, Hugh et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine-learning

    DLW-Net model for traffic flow prediction under adverse weather

    Yao, Ronghan / Zhang, Wensong / Long, Meng | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data

    Basso, Franco / Cifuentes, Álvaro / Cuevas-Pavincich, Francisca et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Interpretable Machine Learning

    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