Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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1–50 von 204 Ergebnissen
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    Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions

    Nguyen, Quan / Da, Xingye / Grizzle, J. W. et al. | TIBKAT | 2020
    Schlagwörter: Machine learning

    Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation

    Adler, Aviv / Miculescu, David / Karaman, Sertac | TIBKAT | 2020
    Schlagwörter: Machine learning

    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

    ML of Choosing: Architecting Intelligent Choice Framework

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

    1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks

    Koushik Chennakesavan / Magnus A. Haw / Alexandre Quintart | NTRS
    Schlagwörter: Machine learning

      1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks

      Koushik Chennakesavan / Magnus A. Haw / Alexandre Quintart | NTRS
      Schlagwörter: Machine learning

    1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks

    Koushik Chennakesavan / Magnus A Haw / Alexandre Quintart | NTRS
    Schlagwörter: Machine learning

    Vehicular Networks and Autonomous Driving Cars

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

    A Review on Behavioural Biometric GAIT Recognition

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

    Road Environment Perception for Safe and Comfortable Driving

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

    Bird’s Eye View Perception for Autonomous Driving

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

    SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model

    Sequoia Andrade / Hannah Walsh | NTRS
    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

    Lane Detection and Collision Prevention System for Automated Vehicles

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

    HPC Matters! How Supercomputing Supports NASA's Mission

    P. Mehrotra | NTIS | 2019
    Schlagwörter: 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

    Mobile WEKA as Data Mining Tool on Android

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

    Scalable Massively Parallel Artificial Neural Networks

    Long, Lyle N. / Gupta, Ankur | AIAA | 2008
    Schlagwörter: Machine Learning

    Deep Reinforcement Learning

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

    Context-supported lane estimation : understanding the scene by learning spatial relations between semantic features and virtual ground truth

    Schomerus, Volker / Technische Universität Braunschweig | TIBKAT | 2016
    Schlagwörter: Maschinelles Lernen

    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

    Task Optimisation for a Modern Cloud Remanufacturing System Using the Bees Algorithm

    Caterino, Mario / Fera, Marcello / Macchiaroli, Roberto et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    The Bees Algorithm—A Gentle Introduction

    Castellani, Marco / Pham, D. T. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Research on the Automatic Classification of Ship’s Navigational Status

    Oh, Jaeyong / Kim, Hye-Jin / Park, Sekil | Springer Verlag | 2019
    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

    T-Rex: The NASA Technology Taxonomy Recommender System

    Ellis Giles / Ryan Miller | NTRS | 2022
    Schlagwörter: Machine Learning

    Collaborative Optimisation of Robotic Disassembly Planning Problems using the Bees Algorithm

    Liu, Jiayi / Liu, Quan / Zhou, Zude et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    A Parallel Multi-indicator-Assisted Dynamic Bees Algorithm for Cloud-Edge Collaborative Manufacturing Task Scheduling

    Li, Yulin / Peng, Cheng / Laili, Yuanjun et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Supply Chain Design and Multi-objective Optimisation with the Bees Algorithm

    Mastrocinque, Ernesto | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Bees Algorithm Models for the Identification and Measurement of Tool Wear

    Conte, Salvatore / D’Addona, Doriana M. | Springer Verlag | 2022
    Schlagwörter: 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

    Global Optimisation for Point Cloud Registration with the Bees Algorithm

    Lan, Feiying / Castellani, Marco / Wang, Yongjing et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    A Case Study with the BEE-Miner Algorithm: Defects on the Production Line

    Ay, Merhad / Baykasoglu, Adil / Ozbakir, Lale et al. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    The application of the Bees Algorithm in a Digital Twin for Optimising the Wire Electrical Discharge Machining (WEDM) Process Parameters

    Packianather, Michael S / Alexopoulos, Theocharis / Squire, Sebastian | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Towards an Ontology-Based Recommender System for the Vehicle Sales Area

    Le, Ngoc Luyen / Abel, Marie-Hélène / Gouspillou, Philippe | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Correction to: Bees Algorithm Models for the Identification and Measurement of Tool Wear

    Conte, Salvatore / D’Addona, Doriana M. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Minimising Printed Circuit Board Assembly Time Using the Bees Algorithm with TRIZ-Inspired Operators

    Ang, Mei Choo / Ng, Kok Weng | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Autonomous Object Detection Using a UAV Platform in the Maritime Environment

    Vasilopoulos, Emmanuel / Vosinakis, Georgios / Krommyda, Maria et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning , Machine Learning

    An Application of the Bees Algorithm to Pulsating Hydroforming

    Öztürk, Osman / Şen, Muhammed Arif / Kalyoncu, Mete et al. | 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

    Memory-Based Bees Algorithm with Lévy Flights for Multilevel Image Thresholding

    Shatnawi, Nahla / Sahran, Shahnorbanun / Nasrudin, Mohamad Faidzul | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    The Effect of Harmony Memory Integration into the Bees Algorithm

    Acar, Osman / Sağlam, Hacı / Şaka, Ziya | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Method for the Production Planning and Scheduling of a Flexible Manufacturing Plant Based on the Bees Algorithm

    Wang, Chao / Chen, Tianxiang / Li, Zhenghao | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Road Traffic Counting and Analysis Using Video Processing

    Kousar Nikhath, A. / Sailaja, N. Venkata / Vasavi, R. et al. | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques

    Lee, Hanbong / Malik, Waqar / Jung, Yoon C. | NTRS | 2016
    Schlagwörter: machine learning

    Personalisierte Klassifizierung des Fahrstils durch maschinelles Lernen

    Jardin, Philippe / Shaker Verlag / Technische Universität Darmstadt | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen , transfer learning

      Personalisierte Klassifizierung des Fahrstils durch maschinelles Lernen

      Jardin, Philippe / Shaker Verlag / Technische Universität Darmstadt | SLUB | 2023
      Schlagwörter: transfer learning , Maschinelles Lernen