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61–80 von 272 Ergebnissen
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    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

    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

    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

    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