Suchen:
search-head

Sie sind hier: Homepage >  Suche

Aufsatz/Kapitel (Buch)   Mathematik   Werkstoffkunde   Verkehrstechnik, Verkehrswesen   Elektronische Ressource   Auswahl aufheben
1–50 von 1,052 Ergebnissen
|
Sortieren:
Ihre Suche:
keywords:(learning)

    Opponent modelling in the game of tron using reinforcement learning

    Freier Zugriff
    Knegt, S.J.L. / Drugan, M.M. / Wiering, M.A. | BASE | 2018
    Schlagwörter: Q-learning , Reinforcement Learning

    Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks

    Pérez-Dattari, Rodrigo / Celemin, Carlos / Ruiz-del-Solar, Javier et al. | Springer Verlag | 2020
    Schlagwörter: Reinforcement Learning , Deep Learning , Interactive Machine Learning , Learning from Demonstration

    AI-based Parameter Optimization Method

    Applied for Vehicles with Dual Clutch Transmissions
    Schmiedt, Marius / Pawlenka, Andreas / Rinderknecht, Stephan | Springer Verlag | 2022
    Schlagwörter: Deep Learning , Machine Learning , Reinforcement Learning

    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

    Intelligent Traffic Control by Multi-agent Cooperative Q Learning (MCQL)

    Vidhate, Deepak A. / Kulkarni, Parag | Springer Verlag | 2018
    Schlagwörter: Cooperative learning , Multi-agent learning , Q 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

    Knowledge Management

    Rogers, Edward W. | Wiley | 2011
    Schlagwörter: case‐based learning , learning practices , sustainable learning , organizational learning , learning organization

    Maritime Vessel Detection and Classification in Harbor Environment Using Deep Learning

    Waleed, Khalid / Farooq, Muhammad Umar / Raza, Rana Hammad | Springer Verlag | 2024
    Schlagwörter: Machine Learning , Deep Learning

    A Cooperative Multiagent Approach for Optimal Drone Deployment Using Reinforcement Learning

    Acosta‐González, Rigoberto / Klaine, Paulo V. / Montejo‐Sánchez, Samuel et al. | Wiley | 2021
    Schlagwörter: reinforcement learning , multiagent reinforcement learning

    Making to Learn. The Pedagogical Implications of Making in a Digital Binary World

    Freier Zugriff
    Ranieri, Maria | Springer Verlag | 2021
    Schlagwörter: Learning by doing , Problem-based learning , Social learning

    Performance Comparison of Supervised and Reinforcement Learning Approaches for Separating Entanglements in a Bin-Picking Application

    Freier Zugriff
    Moosmann, Marius / Kaiser, Manuel / Rosport, Johannes et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning , Reinforcement Learning , Supervised Learning

    Reference-Free Learning Bipedal Motor Skills via Assistive Force Curricula

    Shi, Fan / Kojio, Yuta / Makabe, Tasuku et al. | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning , Curriculum learning

    BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework

    Wang, Dian / Kohler, Colin / Zhu, Xupeng et al. | Springer Verlag | 2023
    Schlagwörter: Robotic learning , Reinforcement learning

    Learning Platforms in the Context of the Digitization of Education: A Strong Methodological Innovation. The Experience of Latvia

    Freier Zugriff
    Rūdolfa, Arta / Daniela, Linda | Springer Verlag | 2021
    Schlagwörter: Learning platforms , Digital learning tool , Technology enhanced learning

    Service Learning: A Proposal for the Maker Approach

    Freier Zugriff
    Frazzarin, Irene / Leonori, Danila | Springer Verlag | 2021
    Schlagwörter: Service learning , Learning by doing , Project-based learning

    Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques

    Jena, Amit Kumar / Potru, Sai Sudhamsa / Balaji, Deepak Raghavan et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble learning , Transfer learning

    Analyzing Motivation Within Virtual Learning Environments: A Systematic Literature Review

    Dishman, Samantha | Springer Verlag | 2022
    Schlagwörter: Online learning , E-learning

    Flight Arrival Delay Prediction Using Supervised Machine Learning Algorithms

    Alla, Hajar / Moumoun, Lahcen / Balouki, Youssef | Springer Verlag | 2021
    Schlagwörter: Machine learning algorithms , Machine Learning

    Cyborgs’ collaborative writing in Virtual Learning Environments

    Freier Zugriff
    Hilli, Charlotta | BASE | 2019
    Schlagwörter: Virtual Learning Environments

    Enhancing Virtual Learning Spaces: the impact of the Gaming Analytics

    Freier Zugriff
    Anastasios Karakostas / Anastasios Maronidis / Dimitrios Ververidis et al. | BASE | 2018
    Schlagwörter: Virtual Learning Spaces , Learning analytics

    Emergency Vehicle Detection Using Deep Convolutional Neural Network

    Haque, Samiul / Sharmin, Shayla / Deb, Kaushik | Springer Verlag | 2022
    Schlagwörter: Transfer learning , Deep learning , Machine Learning

    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

    Brief Review of Reinforcement Learning Control for Cable-Driven Parallel Robots

    Nomanfar, Pegah / Notash, Leila | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning , Machine learning , Reinforcement learning control

    A Framework for Smart Traffic Controller by Improved Cooperative Multi-agent Learning Algorithms (ICMALA)

    Vidhate, Deepak A. / Kulkarni, Parag | Springer Verlag | 2022
    Schlagwörter: Cooperative learning , Reinforcement learning , Machine 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

    Learning Energy-Efficient Trotting for Legged Robots

    Mastrogeorgiou, Athanasios / Papatheodorou, Aristotelis / Koutsoukis, Konstantinos et al. | Springer Verlag | 2022
    Schlagwörter: Learning locomotion , Deep reinforcement learning

    A Review on Behavioural Biometric GAIT Recognition

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

    Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron

    Freier Zugriff
    Knegt, Stefan / Drugan, Madalina M. / Wiering, Marco | BASE | 2018
    Schlagwörter: Reinforcement Learning

    A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques

    Satapathy, Santosh Kumar / Kondaveeti, Hari Kishan / Swain, Debabrata | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning

    Training Issues for Remotely Piloted Aircraft Systems from a Human Systems Integration Perspective

    Cooke, Nancy J. / Rowe, Leah J. / Bennett, Winston, Jr. | Wiley | 2016
    Schlagwörter: RPAS Learning , adaptive learning

    Artificial Stupidity in Robotics: Something Unwanted or Somehow Useful?

    Roldán-Gómez, Juan Jesús | Springer Verlag | 2022
    Schlagwörter: Machine learning , Reinforcement learning

    Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings

    Rodriguez, Andres Alonso / Perdomo, Luis / Al‐sumaiti, Ameena et al. | Wiley | 2022
    Schlagwörter: A utomatic 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

    Role of Machine Learning for Ad Hoc Networks

    Gaba, Shivani / Aggarwal, Alankrita / Nagpal, Shally | Wiley | 2021
    Schlagwörter: 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

    Intelligent Unmanned Air Vehicles for Public Safety Networks: Emerging Technologies and Research Directions

    Kaleem, Zeeshan / Ahmad, Ishtiaq / Duong, Trung Q. | Springer Verlag | 2022
    Schlagwörter: Federated learning , Machine learning

    A Reinforcement Learning Based Adaptive Traffic Signal Control for Vehicular Networks

    Krishnendhu, S. P. / Vigneshwari Reddy, Mainampati / Basumatary, Thulunga et al. | Springer Verlag | 2022
    Schlagwörter: Reinforcement learning , Multi objective reinforcement learning , Single objective reinforcement learning

    Applications of Machine Learning and Artificial Intelligence in Intelligent Transportation System: A Review

    Gangwani, Divya / Gangwani, Pranav | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine Learning

    A Study on Web2.0 Blending Learning

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

    Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques

    Ballis, Athanasios T. / Paravantis, John A. | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Including Transfer Learning and Synthetic Data in a Training Process of a 2D Object Detector for Autonomous Driving

    Antunes, Miguel / Bergasa, Luis M. / Araluce, Javier et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Transfer learning

    Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods

    He, Yuheng / Wu, Mei / Sun, Min et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning , Deep learning

    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

    Augmented reality and mobile learning in a Smart Urban Park: pupils’ Perceptions of the EduPARK Game

    Freier Zugriff
    Pombo, Lúcia / Marques, Margarida Morais / Carlos, Vânia et al. | BASE | 2018
    Schlagwörter: Mobile learning

    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

    Einleitung

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

    Konzeptentwicklung

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

    Grundlagen und Stand der Technik

    Teiwes, Hanno | Springer Verlag | 2020
    Schlagwörter: 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

    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

Ergebnisse anzeigen
10 20

Suchergebnisse filtern