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1–44 von 44 Ergebnissen
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    Radar Target Detection

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Radar Waveforms and Their Mathematical Models

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Direction of Arrival (DOA) Estimation

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Automotive Radar Applications

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Signal Processing for Radar Systems

    Gamba, Jonah | Springer Verlag | 2019
    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

    Target Filtering and Tracking

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    The Radar Equation

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Fundamentals of Radar Systems

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Target Recognition and Classification Techniques

    Gamba, Jonah | Springer Verlag | 2019
    Schlagwörter: Machine Learning

    Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning

    Pawłowicz, Bartosz / Salach, Mateusz / Trybus, Bartosz | Springer Verlag | 2018
    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

    Mobile WEKA as Data Mining Tool on Android

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

    Real-Time Traffic Sign Detection Under Foggy Condition

    Anthony, Renit / Biswas, Jayanta | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Intelligent Unmanned Air Vehicles for Public Safety Networks: Emerging Technologies and Research Directions

    Kaleem, Zeeshan / Ahmad, Ishtiaq / Duong, Trung Q. | Springer Verlag | 2022
    Schlagwörter: Federated learning , Machine learning

    Overview of Catenary Detection of Electrified Railways

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

    Catenary Support Components and Their Characteristics in High-Speed Railways

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

    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry

    Schmid, Philipp A. E. / Steinecker, Alexander / Sun, Jianwen et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , Machine learning

    Artificial Intelligence Empowered Models for UAV Communications

    Pradhan, Nilanjana / Sille, Roohi / Sagar, Shrddha | Springer Verlag | 2022
    Schlagwörter: Machine learning , Deep learning

    Intelligent System for Railway Joint Diagnostics

    Efimushkin, N. / Efimushkina, N. / Orlov, S. | 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

    A Data Driven Simulation Model for Investigating Collision Avoidance Behavior of Pedestrians in Subway Stations

    Zhang, Zhe / Yan, ShuRong / Guo, JianYuan | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s

    Bindu, G. / Karthika, R. A. | Springer Verlag | 2021
    Schlagwörter: Machine learning algorithm

    Learning of Facial Gestures Using SVMs

    Baltes, Jacky / Seo, Stela / Cheng, Chi Tai et al. | Springer Verlag | 2011
    Schlagwörter: Machine Learning

    Adhering to Terrain Characteristics for Position Estimation of Mobile Robots

    Brunner, Michael / Schulz, Dirk / Cremers, Armin B. | Springer Verlag | 2011
    Schlagwörter: 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

    New Text Detection Technique Using Machine Learning Architecture

    Agarwal, Samriddhi / Rahul, Perepi / Neetu | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    Dealing with Sybil Attack in VANET

    Pattanayak, Binod Kumar / Pattnaik, Omkar / Pani, Sasmita | Springer Verlag | 2020
    Schlagwörter: Machine Learning

    A Compact Orthomode Transducer in K-Band for Satellite Communications

    Kumar, V. Santhosh / Lavuri, NageswaraRao / Shaik, Abdul Subhani | Springer Verlag | 2022
    Schlagwörter: Machine Learning

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Unsupervised learning , Machine learning

    Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network

    Mo, Jinglan / Wu, Yangyang | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Machine Learning Technologies in Internet of Vehicles

    Ali, Elmustafa Sayed / Hassan, Mona Bakri / Saeed, Rashid A. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Deep learning

    Traffic Sign Detection and Recognition

    Pillai, Preeti S. / Kinnal, Bhagyashree / Pattanashetty, Vishal et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Artificial Intelligence

    Guo, Zhiwei / Yu, Keping | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine learning AI , Supervised learning , Unsupervised learning , Semi-supervised learning , Reinforcement learning , Deep learning AI

    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

    Characterizing Smart Grid Events Using Clustering Methods

    Klinginsmith, Eric / Barella, Richard / Zhao, Xinghui et al. | Springer Verlag | 2017
    Schlagwörter: Machine learning

    Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems

    Dai, Yueyue / Ma, Huihui | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement learning , Supervised learning , Semi-supervised learning , Meta-learning , Unsupervised learning , Federated learning , Transfer learning

    Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting

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

    Pioneering Data Quality and Security in Smart Grid

    Roy, Bright / Tripathi, Prashant / Goel, Rahul | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Traffic Light Control and Machine Learning: A Systematic Mapping Review

    Borges, Dimitrius F. / Moreira, Edmilson M. / de Souza, Adler D. et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement learning

    Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration

    Wieczorek, Michał / Siłka, Jakub / Woźniak, Marcin | Springer Verlag | 2021
    Schlagwörter: Deep learning , Machine learning

    Future Autonomous Transportation: Challenges and Prospective Dimensions

    Akhtar, Muhammad Waseem / Hassan, Syed Ali | Springer Verlag | 2021
    Schlagwörter: Machine learning

    The Future of Car Automation Field with Smart Driverless Technologies

    Thombare, Shreyas Shivajirao | Springer Verlag | 2022
    Schlagwörter: Machine Learning