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1–50 von 149 Ergebnissen
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    Rash Driving Detection and Alerting System

    Dehankar, Vishwas / Tadse, Surekha | Springer Verlag | 2024
    Schlagwörter: Machine Learning

    Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches

    Wang, Chen / Atkison, Travis / Duan, Qiuhua | Springer Verlag | 2024
    Schlagwörter: Deep Learning , Machine Learning

    Real-Time Road Lane Detection for Self-driving Cars Using Computer Vision

    Gupta, Meenu / Kumar, Rakesh / Bisht, Archana | Springer Verlag | 2024
    Schlagwörter: Deep learning , 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

    Environmental Perception Using Fish-Eye Cameras for Autonomous Driving

    Qian, Yeqiang / Yang, Ming / Dolan, John M. | 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

    Interactive Energy Management Between Electric Vehicle Charging Stations and Electricity Distribution System

    Ge, Leijiao / Li, Yuanzheng | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Coupled Multi-network Constrained Planning of Energy Supplying Facilities for Hybrid Hydrogen-Electric Vehicles

    Ge, Leijiao / Li, Yuanzheng | Springer Verlag | 2023
    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

    Applications to Robotics

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

    Overview of Catenary Detection of Electrified Railways

    Liu, Zhigang / Liu, Wenqiang / Zhong, Junping | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Voronoi Diagram-Based Approach to Identify Maritime Corridors

    Masmoudi, Mariem / Chakhar, Salem / Chabchoub, Habib | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Traffic Congestion and Road Anomalies Detection Using CCTVs Images Processing, Challenges and Opportunities

    Es-Swidi, Ayoub / Ardchir, Soufiane / Elghoumari, Yassine et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning , Deep learning

    Catenary Support Components and Their Characteristics in High-Speed Railways

    Liu, Zhigang / Liu, Wenqiang / Zhong, Junping | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Machine Learning Assisted MPU6050-Based Road Anomaly Detection

    Tripathi, Jyoti / Kumar, Bijendra | Springer Verlag | 2023
    Schlagwörter: Machine learning

    A Pedestrian Gait Recognition Method Driven by Inertial Data

    Tian, Xiaochun / Luo, Xinghang / Zhang, Lina | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Vehicle Over Speed Detection System

    Ganesan, K. / Manikandan, N. S. / Sugumaran, Vijayan | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Intelligent System for Railway Joint Diagnostics

    Efimushkin, N. / Efimushkina, N. / Orlov, S. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Design of Automatic Lane Change System Based on UN/ECE R79

    Liu, Haiyan / Wang, Kunfeng / Wang, Yadong | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network

    Bharathi, S. / Durgadevi, P. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    DCOP: Deep Learning for Road Safety System

    Hyoju, Binod / Salahuddin, A. B. Emran / Heyasat, Haneen et al. | Springer Verlag | 2023
    Schlagwörter: Deep Learning , Machine Learning

    Golden Jackal Optimization with Deep Learning-Based Anomaly Detection in Pedestrian Walkways for Road Traffic Safety

    Al Sulaie, Saleh | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine Learning

    EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically

    Rakesh, S. / Hegde, Nagaratna P. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Calculating the Traffic Density of Real-Time Video Using Moving Object Detection

    Rakesh, S. / Hegde, Nagaratna P. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Exploring Deep Learning Techniques for Vision-Based Vehicle Re-Identification: A Traffic Intersection Case Study

    Regmi, Biplav S. / Dailey, Matthew N. / Ekpanyapong, Mongkol | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Autonomous Traffic Sign Detection and Recognition in Real Time

    Malarvizhi, N. / Jupudi, Athreayasa Kalyan / Velpuri, Manikanta et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Machine Learning

    Proactive Traffic Abnormity Warning System

    Liu, Kai / Dai, Penglin / Lee, Victor C. S. et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Machine Learning Approach for Traffic Sign Detection and Indication Using Open CV with Python

    Varma, Kothapalli Phani / Sriramam, Yadavalli S. S. / Kanumuri, Chalapathiraju et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting

    Bansal, Nishu / Bali, Rasmeet Singh | Springer Verlag | 2023
    Schlagwörter: Machine Learning

    Real-Time Birds Shadow Detection for Autonomous UAVs

    Bouali, Kassem Anis / Hajdu, András | Springer Verlag | 2023
    Schlagwörter: Deep Learning Algorithms , Machine Learning

    ML of Choosing: Architecting Intelligent Choice Framework

    Kulkarni, Parag | Springer Verlag | 2022
    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

    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

    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

    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

    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

    Real-Time Traffic Sign Detection Under Foggy Condition

    Anthony, Renit / Biswas, Jayanta | 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