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

1–50 von 917 Ergebnissen
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    Comparative Evaluation for Effectiveness Analysis of Policy Based Deep Reinforcement Learning Approaches

    Freier Zugriff
    Tan, Ziya / Karaköse, Mehmet | BASE
    Schlagwörter: Deep Reinforcement Learning , Deep Learning

    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

      Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

      Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Online Contents | 2018
      Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

    Deep Reinforcement Learning for the Navigation of Neurovascular Catheters

    Freier Zugriff
    Behr, Tobias / Pusch, Tim Philipp / Siegfarth, Marius et al. | BASE | 2019
    Schlagwörter: deep learning , Bestärkendes Lernen

    A review of deep learning methods and applications for unmanned aerial vehicles

    Freier Zugriff
    Carrio, Adrián / Sampedro, Carlos / Rodriguez-Ramos, A. et al. | BASE | 2017
    Schlagwörter: Deep learning

    Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach

    Freier Zugriff
    Rubagotti, Matteo / Sangiovanni, Bianca / Nurbayeva, Aigerim et al. | BASE | 2023
    Schlagwörter: Deep learning , Reinforcement learning

    Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

    Li, Linchao / Qu, Xu / Zhang, Jian et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: deep learning , machine learning

    Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment

    Freier Zugriff
    Brejl, Rasmus / Purwins, Hendrik / Schoenau-Fog, Henrik | BASE | 2018
    Schlagwörter: Reinforcement Learning , Deep Learning , Q-Learning , Deep Recurrent Q-Learning

    GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

    Guo, Jingqiu / Liu, Yangzexi / Yang, Qingyan (Ken) et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Highway crash detection and risk estimation using deep learning

    Huang, Tingting / Wang, Shuo / Sharma, Anuj | Elsevier | 2019
    Schlagwörter: Deep learning

    Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey

    Freier Zugriff
    Cai, Jizhou | BASE | 2023
    Schlagwörter: Deep Learning , Reinforcement Learning

    Deep Reinforcement Learning for Robot Batching Optimization and Flow Control

    Freier Zugriff
    Hildebrand, Max / Andersen, Rasmus Skovgaard / Bøgh, Simon | BASE | 2020
    Schlagwörter: Reinforcement Learning , Deep Reinforcement Learning , Deep Learning

    An efficient realization of deep learning for traffic data imputation

    Duan, Yanjie / Lv, Yisheng / Liu, Yu-Liang et al. | Elsevier | 2016
    Schlagwörter: Deep learning

    Towards real-time reinforcement learning control of a wave energy converter

    Freier Zugriff
    Anderlini, E / Husain, S / Parker, GG et al. | BASE | 2020
    Schlagwörter: reinforcement learning , deep reinforcement learning , deep learning

    A novel passenger flow prediction model using deep learning methods

    Liu, Lijuan / Chen, Rung-Ching | Elsevier | 2017
    Schlagwörter: Deep learning

      A novel passenger flow prediction model using deep learning methods

      Liu, Lijuan | Online Contents | 2017
      Schlagwörter: Deep learning

    Industrial robot control with object recognition based on deep learning

    Freier Zugriff
    Chen, Xi / Guhl, Jan | BASE | 2018
    Schlagwörter: deep learning

    Real-world ride-hailing vehicle repositioning using deep reinforcement learning

    Jiao, Yan / Tang, Xiaocheng / Qin, Zhiwei (Tony) et al. | Elsevier | 2021
    Schlagwörter: Deep reinforcement learning

    Therapy-driven Deep Glucose Forecasting

    Freier Zugriff
    Aiello E. M. / Lisanti G. / Magni L. et al. | BASE | 2020
    Schlagwörter: Deep learning

    Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks

    Wang, Shenhao / Mo, Baichuan / Zhao, Jinhua | Elsevier | 2021
    Schlagwörter: Deep learning

    A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data

    Bagheri, Hossein | Elsevier | 2022
    Schlagwörter: Machine learning , Deep learning

    CryptoKnight:generating and modelling compiled cryptographic primitives

    Freier Zugriff
    Hill, Gregory / Bellekens, Xavier | BASE | 2018
    Schlagwörter: Deep learning

    A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping

    Freier Zugriff
    Sica, Francescopaolo / Calvanese, Francesco / Scarpa, Giuseppe et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Deep Learning

    Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots

    Freier Zugriff
    Nadizar, Giorgia / Medvet, Eric / Huse Ramstad, Hola et al. | BASE | 2022
    Schlagwörter: deep learning

    Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data

    Wang, Hao / Yuan, Yun / Yang, Xianfeng Terry et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep neural network , deep reinforcement learning , Q-learning

    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

    Deep-learning for ionogram automatic scaling

    Xiao, Zhuowei / Wang, Jian / Li, Juan et al. | Elsevier | 2020
    Schlagwörter: Deep-learning

    Deep learning for short-term traffic flow prediction

    Polson, Nicholas G. / Sokolov, Vadim O. | Elsevier | 2017
    Schlagwörter: Deep Learning

    Enhancing discrete choice models with representation learning

    Sifringer, Brian / Lurkin, Virginie / Alahi, Alexandre | Elsevier | 2020
    Schlagwörter: Machine learning , Deep learning

    Phi-Net: Deep Residual Learning for InSAR Parameters Estimation

    Freier Zugriff
    Sica, Francescopaolo / Gobbi, Giorgia / Rizzoli, Paola et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Residual Learning , Deep Learning

    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

    Liu, Yang / Wu, Fanyou / Lyu, Cheng et al. | Elsevier | 2022
    Schlagwörter: Deep reinforcement learning

    Deep learning-based inertia tensor identification of the combined spacecraft

    Chu, Weimeng / Wu, Shunan / He, Xiao et al. | SAGE Publications | 2020
    Schlagwörter: deep neural network , deep learning

    A novel method for predicting and mapping the occurrence of sun glare using Google Street View

    Li, Xiaojiang / Cai, Bill Yang / Qiu, Waishan et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Predicting cycle-level traffic movements at signalized intersections using machine learning models

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2020
    Schlagwörter: Deep learning , Machine learning

    Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data

    Li, Linchao / Zhu, Jiasong / Zhang, Hailong et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning

    Freier Zugriff
    Brohus Kristensen, Christoffer / Arentz Sørensen, Frederik / Bjørn Dalgaard Brandt Nielsen, Hjalte et al. | BASE | 2019
    Schlagwörter: Deep Reinforcement Learning , Reinforcement Learning , Machine Learning

    Deep learning procedure for knock, performance and emission prediction at steady-state condition of a gasoline engine

    Shin, Seunghyup / Lee, Sangyul / Kim, Minjae et al. | SAGE Publications | 2020
    Schlagwörter: Deep learning , deep neural networks

    A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

    Basso, Franco / Pezoa, Raúl / Varas, Mauricio et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    An experimental study on visual tracking based on deep learning

    A, Krishna Mohan / PVN, Reddy / K, Satya Prasad | Emerald Group Publishing | 2021
    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)

    A Deep Learning Strategy For On-Orbit Servicing Via Space Robotic Manipulator

    Stolfi, A. / Angeletti, F. / Gasbarri, P. et al. | Springer Verlag | 2019
    Schlagwörter: Deep Neural Network , Deep Learning

      A Deep Learning Strategy For On-Orbit Servicing Via Space Robotic Manipulator

      Stolfi, A. / Angeletti, F. / Gasbarri, P. et al. | Online Contents | 2019
      Schlagwörter: Deep Neural Network , Deep Learning

    Active garment recognition and target grasping point detection using deep learning

    Freier Zugriff
    Corona Puyane, Enric / Alenyà Ribas, Guillem / Gabas Nova, Antonio et al. | BASE | 2018
    Schlagwörter: Deep learning

      Active garment recognition and target grasping point detection using deep learning

      Freier Zugriff
      Corona Puyane, Enric / Alenyà, Guillem / Gabás Nova, Antoni et al. | BASE | 2018
      Schlagwörter: Deep learning

    One day ahead prediction of global TEC using Pix2pixhd

    Yang, Ding / Li, Qingfeng / Fang, Hanxian et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Deep Reinforcement Learning for Drone Delivery

    Freier Zugriff
    Guillem Muñoz / Cristina Barrado / Ender Çetin et al. | DOAJ | 2019
    Schlagwörter: deep learning , reinforcement learning , Q-learning

    Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control

    Gong, Yaobang / Abdel-Aty, Mohamed / Yuan, Jinghui et al. | Elsevier | 2020
    Schlagwörter: Multi-objective reinforcement learning , Deep learning

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Deep neural networks for choice analysis: Extracting complete economic information for interpretation

    Wang, Shenhao / Wang, Qingyi / Zhao, Jinhua | Elsevier | 2020
    Schlagwörter: Deep neural network , Machine learning

    Autonomous Driving using Deep Reinforcement Learning in Urban Environment

    Freier Zugriff
    Hashim Shakil Ansari / Goutam R | BASE | 2019
    Schlagwörter: Deep Reinforcement Learning (DRL) , Reinforcement Learning (RL)

    Airfoils optimization based on deep reinforcement learning to improve the aerodynamic performance of rotors

    Liu, Jiaqi / Chen, Rongqian / Lou, Jinhua et al. | Elsevier | 2023
    Schlagwörter: Deep neural network , Deep reinforcement learning

    Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system

    Hao, Siyu / Lee, Der-Horng / Zhao, De | Elsevier | 2019
    Schlagwörter: Deep learning

    Applications of deep learning in congestion detection, prediction and alleviation: A survey

    Kumar, Nishant / Raubal, Martin | Elsevier | 2021
    Schlagwörter: Deep learning

    A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge

    Freier Zugriff
    Boschi, Anna / Salvetti, Francesco / Mazzia, Vittorio et al. | BASE | 2020
    Schlagwörter: deep learning