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61–80 von 276 Ergebnissen
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    The Bees Algorithm—A Gentle Introduction

    Castellani, Marco / 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

    An Application of the Bees Algorithm to Pulsating Hydroforming

    Öztürk, Osman / Şen, Muhammed Arif / Kalyoncu, Mete et al. | Springer Verlag | 2022
    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

    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

    Deep Reinforcement Learning

    Huang, Xiaowei / Jin, Gaojie / Ruan, Wenjie | Springer Verlag | 2012
    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

    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

    Review of Intelligent Algorithms for Autonomous Path Planning of UAVs

    Freier Zugriff
    Guo Qimin, Zhang Peng, Wang Yingyang, Wang Shi | DOAJ | 2023
    Schlagwörter: |uav|path planning|autonomy|intelligent evolutionary algorithm|machine learning algorithm

    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

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

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

      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

    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

    Applications to Robotics

    Xiao, Wei / Cassandras, Christos G. / Belta, Calin | Springer Verlag | 2023
    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