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1–50 von 120 Ergebnissen
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    ML of Choosing: Architecting Intelligent Choice Framework

    Kulkarni, Parag | Springer Verlag | 2022
    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

    Environmental Perception Using Fish-Eye Cameras for Autonomous Driving

    Qian, Yeqiang / Yang, Ming / Dolan, John M. | Springer Verlag | 2023
    Schlagwörter: 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

    Lane Detection and Collision Prevention System for Automated Vehicles

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

    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

    Mobile WEKA as Data Mining Tool on Android

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

    Research on the Automatic Classification of Ship’s Navigational Status

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

    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

    Deep Reinforcement Learning

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

    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

    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

    An Application of the Bees Algorithm to Pulsating Hydroforming

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

    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

    Dynamic Evolution of Simulated Autonomous Cars in the Open World Through Tactics

    Sylnice, Joe R. / Alférez, Germán H. | Springer Verlag | 2018
    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

    Enhancing Driver Safety and Experience: Real-Time Facial Expression Detection in Smart Vehicles with Vision Systems

    Mishra, Siba / Mishra, Soumya Ranjan / Mahapatra, Hitesh et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Applications to Robotics

    Xiao, Wei / Cassandras, Christos G. / Belta, Calin | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Car Counting Based on Road Partitioning and Blobs Analysis

    Zohari, Farimehr / Okhovvat, Raziyeh Sadat | 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

    Image Processing Based Lane Crossing Detection Alert System to Avoid Vehicle Collision

    Priyangha, B. S. / Thiyaneswaran, B. / Yoganathan, N. S. | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    Software Stack for Autonomous Vehicle: Motion planning

    Shinde, Sonali / Mane, Sunil B. | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Pedestrian–Autonomous Vehicles Interaction Challenges: A Survey and a Solution to Pedestrian Intent Identification

    Pandey, Pranav / Aghav, Jagannath V. | Springer Verlag | 2020
    Schlagwörter: Machine 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

    Optimal Stacked Sparse Autoencoder Based Traffic Flow Prediction in Intelligent Transportation Systems

    Neelakandan, S. / Prakash, M. / Bhargava, Sanjay et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Identification of Helmets on Motorcyclists and Seatbelt on Four-Wheeler Drivers

    Saini, Divyansh / Arundekar, Vedashree / Priya, K. V. et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Detecting Number of Passengers in a Moving Vehicle with Publicly Available Data

    Branco, Luciano / Qiao, Fengxiang / Zhang, Yunpeng | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Classification and Recognition of Traffic Signs Using Deep Learning

    Sirisha, D. / Srilatha, Y. / Sowjanya, N. V. S. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Nonparametric Bayesian Method for Robot Anomaly Monitoring

    Freier Zugriff
    Zhou, Xuefeng / Wu, Hongmin / Rojas, Juan et al. | Springer Verlag | 2020
    Schlagwörter: Machine Learning