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

51–100 von 1,280 Ergebnissen
|

    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

    High Precision Peg-in-Hole Assembly Approach Based on Sensitive Robotics and Deep Recurrent Q-Learning

    Freier Zugriff
    Afifi, Nehal Atef / Schneider, Marco / Kanso, Ali et al. | Springer Verlag | 2023
    Schlagwörter: Deep Learning , Machine Learning

    Einleitung

    Teiwes, Hanno | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Histopathological Colorectal Cancer Image Classification by Using Inception V4 CNN Model

    Patnaik, Rakesh / Rath, Premanshu Sekhara / Padhy, Sasmita et al. | Springer Verlag | 2023
    Schlagwörter: Deep 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 Signal Switching Strategy Based on Reinforcement Learning Algorithm

    Hu, Linjian / Xu, Shibo / Li, Xiaoyang et al. | Springer Verlag | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Anwendung des Gesamtkonzeptes am Beispiel des Karosseriebaus

    Teiwes, Hanno | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Stand der Forschung

    Teiwes, Hanno | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Towards Ontology-Guided Learning for Shepherding

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

    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry

    Schmid, Philipp A. E. / Steinecker, Alexander / Sun, Jianwen et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , Machine learning

    Driver Drowsiness Detection for Road Safety Using Deep Learning

    Saini, Parul / Kumar, Krishan / Kashid, Shamal et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Transfer 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 Dynamic Obstacle Avoidance for Robot Manipulators with Deep Reinforcement Learning

    Zindler, Friedemann / Lucchi, Matteo / Wohlhart, Lucas et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning for robot control , Transfer learning

    Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

    Jehanzaib, Muhammad / Shah, Sabab Ali / Son, Ho Jun et al. | Springer Verlag | 2022
    Schlagwörter: Machine-learning classifier , Supervised learning

    In-Hand Manipulation of Unseen Objects Through 3D Vision

    Pereira, Martim / Dimou, Dimitrios / Moreno, Plinio | Springer Verlag | 2022
    Schlagwörter: Reinforcement Learning , Imitation Learning

    Zusammenfassung und Ausblick

    Teiwes, Hanno | Springer Verlag | 2020
    Schlagwörter: Machine 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

    Deep Learning-Based Multi-scale Multi-object Detection and Classification for Autonomous Driving

    Fink, Maximilian / Liu, Ying / Engstle, Armin et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , Feature learning and extraction

    Using Meta-Learning to Reduce the Effort of Training New Workpiece Geometries for Entanglement Detection in Bin-Picking Applications

    Freier Zugriff
    Moosmann, Marius / Bleifuß, Julian / Rosport, Johannes et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning , Meta Learning

    Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification

    Yu, Young Su / Kim, Si Hyun / Lee, Won Bok et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble learning

    A Unified System for Crop Yield Prediction, Crop Recommendation, and Crop Disease Detection

    Varghese, Arpitha / Mamatha, I. | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning

    Higher Education Teachers’ Perceptions About Teaching and Learning Related Qualities of Telepresence Robots

    Leoste, Janika / Virkus, Sirje / Talisainen, Aleksei | Springer Verlag | 2022
    Schlagwörter: Distance learning , Remote learning

    Artificial Intelligence Empowered Models for UAV Communications

    Pradhan, Nilanjana / Sille, Roohi / Sagar, Shrddha | Springer Verlag | 2022
    Schlagwörter: Machine learning , Deep learning

    Optimal Impulsive Maneuver Planning for Station Acquisition of Geosynchronous Satellites

    Srivatsa, M. R. / Singh, Gurpreet | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Multi-agent Deep Reinforcement Learning for Countering Uncrewed Aerial Systems

    Pierre, Jean-Elie / Sun, Xiang / Novick, David et al. | Springer Verlag | 2024
    Schlagwörter: deep reinforcement learning , machine learning

    Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023

    Liu, Zishun / Li, Renfu / He, Xiaodong | Springer Verlag | 2024
    Schlagwörter: Machine learning.

    Sensitivity Analysis and Optimization for a Trainer Aircraft Configuration

    Subrahmanya, M. B. / Suman, V. K. / Kaushik, K. N. et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    A Brief Survey of Sim2Real Methods for Robot Learning

    Dimitropoulos, Konstantinos / Hatzilygeroudis, Ioannis / Chatzilygeroudis, Konstantinos | Springer Verlag | 2022
    Schlagwörter: Robot learning , Machine Learning

    ML of Choosing: Architecting Intelligent Choice Framework

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

    From Classroom to Learning Environment

    Freier Zugriff
    Borri, Samuele | Springer Verlag | 2021
    Schlagwörter: Learning environment , Learning space

    Pedestrian Collision Avoidance Using Deep Reinforcement Learning

    Rafiei, Alireza / Fasakhodi, Amirhossein Oliaei / Hajati, Farshid | Springer Verlag | 2022
    Schlagwörter: Deep reinforcement learning , Car Learning to Act (CARLA)

    MUSAL: Active Deep Learning Method Integrating Multiple Uncertainty Strategies for Classification

    Qin, Hai / Tan, Ailin / Zeng, Shuhua et al. | Springer Verlag | 2022
    Schlagwörter: Active learning , Deep learning

    SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models

    Koushik, Anil / Manoj, M. / Nezamuddin, N. | Springer Verlag | 2024
    Schlagwörter: Deep learning , Machine learning

    Explainable AI in ITS: Ethical Concerns

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

    A Personalized Ramp Merging Decision-Making Method for Autonomous Driving Based on Reverse Reinforcement Learning

    Qu, Fangbing / Qi, Jianyong / Xiao, Yao et al. | Springer Verlag | 2024
    Schlagwörter: Personalized learning , Inverse reinforcement learning

    Iterative Adaptive Critic Control Towards an Urban Wastewater Treatment Plant

    Wang, Ding / Ha, Mingming / Zhao, Mingming | Springer Verlag | 2023
    Schlagwörter: Learning systems , Machine Learning

    On the Critic IntelligenceCritic intelligence for Discrete-Time Advanced Optimal ControlAdvanced optimal control Design

    Wang, Ding / Ha, Mingming / Zhao, Mingming | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning , Machine Learning

    Modeling of the Learning Curve Corresponding to the Transit Through the New Expanded Panama Canal

    Carral Couce, Luis Manuel / Tarrío-Saavedra, Javier / Rodríguez-Díaz, Aladar et al. | Springer Verlag | 2020
    Schlagwörter: Learning effect , Learning curve

    Multi-agent Task Coordination Method Based on RCRS

    Xueke, Yang / Yu, Zhang / Junren, Luo et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Reinforcement learning

    Chesscards: Making a Paper Chess Game with Primary School Students, a Cooperative Approach

    Freier Zugriff
    Addone, Agnese / De Bernardis, Luigi | Springer Verlag | 2021
    Schlagwörter: Cooperative learning , Social learning

    An Overview of Real-Time Traffic Sign Detection and Classification

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

    Comparison of Various Machine Learning and Deep Learning Classifiers for the Classification of Defective Photovoltaic Cells

    G, Maithreyan / Gumaste, Vinodh Venkatesh | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning

    Deep Learning Based Object Detection on Gas Cylinders

    Shrivastava, Shrey / Sahu, Aryan / Lamkuche, Hemraj | Springer Verlag | 2024
    Schlagwörter: Deep learning , Machine learning

    Development of an LSTM-Based Model with Attention Mechanism for Detection of Traffic’s Officer Hand Gestures for Autonomous Vehicles in Ecuador

    Idrovo-Berrezueta, Paul / Ortiz, Juan P. / Valladolid, Juan D. et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning , Deep learning

    Radar Target Detection

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Sign Language Translation System Using Convolutional Neural Networks Approach

    Kasinathan, Vinothini / Mustapha, Aida / Hew, Hui Shan et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning , Machine Learning

    Approaches to Chatbot Design for Teaching English to Maritime Students: Needs Analysis and Content Planning

    Strinyuk, Svetlana / Lanin, Viacheslav | Springer Verlag | 2022
    Schlagwörter: Mobile learning (m-learning) , Mobile-assisted language learning (MALL)