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1–50 von 236 Ergebnissen
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    Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems

    Dai, Yueyue / Ma, Huihui | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement learning , Supervised learning , Semi-supervised learning , Meta-learning , Unsupervised learning , Federated learning , Transfer learning

    An Agent-Based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles

    Silva, Varuna / Wang, Xiongzhao / Aladagli, Deniz et al. | Springer Verlag | 2018
    Schlagwörter: Agent-based learning , Reinforcement learning , Imitation learning

    Artificial Intelligence

    Guo, Zhiwei / Yu, Keping | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine learning AI , Supervised learning , Unsupervised learning , Semi-supervised learning , Reinforcement learning , Deep learning AI

    Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies

    Fu, Swee Tee / Lau, Bee Theng / Tee, Mark Kit Tsun et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    A Reinforcement Learning Method of Obstacle Avoidance for Industrial Mobile Vehicles in Unknown Environments Using Neural Network

    XIA, Chen / EL KAMEL, A. | Springer Verlag | 2015
    Schlagwörter: Q-learning , Reinforcement learning

    A Review on Behavioural Biometric GAIT Recognition

    Amogha, B. / Deshpande, Rohini | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning , Machine Learning

    Object Detection and Pattern Analysis in an Autonomous Car

    Kadwani, Rashmi / Pereira, Joshua / Thakur, Adya et al. | Springer Verlag | 2021
    Schlagwörter: Deep learning , Machine Learning

    A Study on Web2.0 Blending Learning

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

    Modeling Human Motor Skills to Enhance Robots’ Physical Interaction

    Averta, Giuseppe / Arapi, Visar / Bicchi, Antonio et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Learning from humans

    A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management

    Prasad, K. Sai / Pasupathy, S. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning , Machine Learning

    Multi-agent reinforcement learning for autonomous vehicles: a survey

    Freier Zugriff
    Dinneweth, Joris / Boubezoul, Abderrahmane / Mandiau, René et al. | Springer Verlag | 2022
    Schlagwörter: Multi-agent reinforcement learning , Machine Learning

    Traffic Congestion and Road Anomalies Detection Using CCTVs Images Processing, Challenges and Opportunities

    Es-Swidi, Ayoub / Ardchir, Soufiane / Elghoumari, Yassine et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning

    Towards Ontology-Guided Learning for Shepherding

    Campbell, Benjamin | Springer Verlag | 2021
    Schlagwörter: Guided learning , Hybrid learning

    Traffic Rule Violation Detection System: Deep Learning Approach

    Kathane, Mandar / Abhang, Shubham / Jadhavar, Abhishek et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine Learning

    ML of Choosing: Architecting Intelligent Choice Framework

    Kulkarni, Parag | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Explainable AI in ITS: Ethical Concerns

    Gaur, Loveleen / Sahoo, Biswa Mohan | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    An Overview of Real-Time Traffic Sign Detection and Classification

    Taki, Youssef / Zemmouri, Elmoukhtar | Springer Verlag | 2021
    Schlagwörter: Machine learning , Deep learning

    Vehicle Classification for Autonomous Vehicles Using Transfer Deep Learning

    Chhabra, Rishu / Khullar, Vikas / Singh, Saravjeet | Springer Verlag | 2023
    Schlagwörter: Deep learning , Transfer learning

    DCOP: Deep Learning for Road Safety System

    Hyoju, Binod / Salahuddin, A. B. Emran / Heyasat, Haneen et al. | Springer Verlag | 2023
    Schlagwörter: Deep Learning , Machine Learning

    Apprenticeship Bootstrapping Reinforcement Learning for Sky Shepherding of a Ground Swarm in Gazebo

    Nguyen, Hung / Garratt, Matthew / Abbass, Hussein A. | Springer Verlag | 2020
    Schlagwörter: Apprenticeship learning , Reinforcement learning

    Intelligent Traffic Management Systems for Next Generation IoV in Smart City Scenario

    Vijayaraghavan, V. / Rian Leevinson, J. | Springer Verlag | 2020
    Schlagwörter: Reinforcement learning , Machine Learning

    Vehicular Networks and Autonomous Driving Cars

    Seon Hong, Choong / Khan, Latif U. / Chen, Mingzhe et al. | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Golden Jackal Optimization with Deep Learning-Based Anomaly Detection in Pedestrian Walkways for Road Traffic Safety

    Al Sulaie, Saleh | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine Learning

    Prediction of Hourly Power Consumption for a Central Air-Conditioning System Based on Different Machine Learning Methods

    Gao, Si-qi / Zou, Fu-min / Jiang, Xin-hua et al. | Springer Verlag | 2017
    Schlagwörter: Machine learning methods , Ensemble learning

    Bird’s Eye View Perception for Autonomous Driving

    Du, Jiayuan / Su, Shuai / Fan, Rui et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Environmental Perception Using Fish-Eye Cameras for Autonomous Driving

    Qian, Yeqiang / Yang, Ming / Dolan, John M. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Road Environment Perception for Safe and Comfortable Driving

    Guo, Sicen / Jiang, Yu / Li, Jiahang et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Lane Detection and Collision Prevention System for Automated Vehicles

    Agrawal, Rajat / Singh, Namrata | Springer Verlag | 2020
    Schlagwörter: Machine learning , Machine Learning

    Artificial Intelligence Based Strategy for Vessel Decision Support System

    Daranda, Andrius / Dzemyda, Gintautas | Springer Verlag | 2021
    Schlagwörter: Reinforcement learning

    A Simple Human Learning Optimization Algorithm

    Wang, Ling / Ni, Haoqi / Yang, Ruixin et al. | Springer Verlag | 2014
    Schlagwörter: human learning optimization , learning operators

    Autonomous Traffic Sign Detection and Recognition in Real Time

    Malarvizhi, N. / Jupudi, Athreayasa Kalyan / Velpuri, Manikanta et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine Learning

    Insights for Urban Road Safety: A New Fusion-3DCNN-PFP Model to Anticipate Future Congestion from Urban Sensing Data

    Dao, Minh-Son / Uday Kiran, R. / Zettsu, Koji | Springer Verlag | 2021
    Schlagwörter: Machine Learning

    Traffic Density Classification for Multiclass Vehicles Using Customized Convolutional Neural Network for Smart City

    Mane, Deepak / Bidwe, Ranjeet / Zope, Bhusan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine Learning

    Multi-network for Joint Detection of Dynamic and Static Objects in a Road Scene Captured by an RGB Camera

    Çaldıran, Bekir Eren / Acarman, Tankut | Springer Verlag | 2022
    Schlagwörter: Deep learning , Multi-task learning

    Multi Agent Reinforcement Learning for Gridworld Soccer Leadingpass

    Sari, Safreni Candra / Prihatmanto, Ary Setijadi / Kuspriyanto | Springer Verlag | 2013
    Schlagwörter: Multiagent learning system , reinforcement learning

    An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes

    Zhou, Liuming / Jia, Li | Springer Verlag | 2017
    Schlagwörter: Iterative learning control (ILC) , Just in time learning (JITL)

    Modeling and Learning Behaviors

    Dr. Vasquez, Dizan / Dr. Laugier, Christian | Springer Verlag | 2012
    Schlagwörter: Structure Learning , Modeling and Learning Behaviors

    Mobile WEKA as Data Mining Tool on Android

    Liu, Pengfei / Chen, Yanhua / Tang, Wulei et al. | Springer Verlag | 2012
    Schlagwörter: Machine learning

    Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks

    Spooner, James / Cheah, Madeline / Palade, Vasile et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Joint Local Reinforcement Learning Agent and Global Drone Cooperation for Collision-Free Lane Change

    Hao, Jialin / Naja, Rola / Zeghlache, Djamal | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning

    Artificial Intelligence Used in Accident Detection Using YOLO

    Gautham, S. V. / Hemavathi, D. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Small Scale Mobile Robot Auto-parking Using Deep Learning, Image Processing, and Kinematics-Based Target Prediction

    Li, Mingxin / Ni, Liya Grace | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Application of Human Learning Optimization Algorithm for Production Scheduling Optimization

    Li, Xiaoyu / Yao, Jun / Wang, Ling et al. | Springer Verlag | 2017
    Schlagwörter: Human learning optimization

    Deep Reinforcement Learning

    Huang, Xiaowei / Jin, Gaojie / Ruan, Wenjie | Springer Verlag | 2012
    Schlagwörter: Machine Learning

    Optimisation of Robotic Disassembly Sequence Plans for Sustainability Using the Multi-objective Bees Algorithm

    Hartono, Natalia / Javier Ramírez, F. / Pham, D. T. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Bees Traplining Metaphors for the Vehicle Routing Problem Using a Decomposition Approach

    Ismail, A. H. / Pham, D. T. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Automatic PID Tuning Toolkit Using the Multi-Objective Bees Algorithm

    Şahin, Murat / Çakıroğlu, Semih | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Α New Method to Generate the Initial Population of the Bees Algorithm for Robot Path Planning in a Static Environment

    Kashkash, Mariam / Haj Darwish, Ahmed / Joukhadar, Abdulkader | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Shape Recognition for Industrial Robot Manipulation with the Bees Algorithm

    Castellani, Marco / Baronti, Luca / Zheng, Senjing et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning