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61–80 von 156 Ergebnissen
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    Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification

    Yu, Young Su / Kim, Si Hyun / Lee, Won Bok et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble learning

    Estimating the traction factor and designing the deck gear for the anchor handling tug

    Carral-Couce, Luis / Naya, Salvador / Álvarez Feal, Carlos et al. | SAGE Publications | 2017
    Schlagwörter: statistical learning

    Evolutionary Computation Methods for Helicopter Loads Estimation

    Valdes, Julio J. / Cheung, Catherine / Wang, Weichao | Tema Archiv | 2011
    Schlagwörter: Lernen , maschinelles Lernen

    Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports

    Khattak, Afaq / Chan, Pak-wai / Chen, Feng et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning

    Expressway Traffic Incident Detection Using a Deep Learning Approach Based on Spatiotemporal Features with Multilevel Fusion

    Qu, Qikai / Shen, Yongjun / Yang, Miaomiao et al. | ASCE | 2024
    Schlagwörter: Deep learning

    Flexible Stochastic Frontier Approach to Predict Spot Speed in Two-Lane Highways

    Couto, António | Online Contents | 2016
    Schlagwörter: Learning models (Stochastic processes)

    Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis

    Freier Zugriff
    Seyedmirsajad Mokhtarimousavi / Armin Mehrabi | DOAJ | 2023
    Schlagwörter: Machine learning

    Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM

    Kim, Hyun Il / Kim, Byung Hyun | Springer Verlag | 2020
    Schlagwörter: Machine learning

    Four Decades of Computing in Civil Engineering

    Adeli, Hojjat | Springer Verlag | 2019
    Schlagwörter: machine learning

    Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

    Assi, Khaled / Ratrout, Nedal / Nemer, Ibrahim et al. | ASCE | 2023
    Schlagwörter: Machine learning , Deep learning

    Generalized Linear Models to Identify the Impact of Road Geometric Design Features on Crash Frequency in Rural Roads

    Khedher, Moataz Bellah Ben / Yun, Dukgeun | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Hierarchical Driving Strategy for Connected and Autonomous Vehicles Making a Protected Left Turn at Signalized Intersections

    Du, Danfeng / Shen, Mingyu / Guo, Xiurong et al. | ASCE | 2023
    Schlagwörter: Deep reinforcement learning (DRL)

    High Speed Rail Learning System (HSRLS) – Taking Advantage of Online Technologies in Railway Education

    Freier Zugriff
    Pasi T. Lautala, Ph.D., P.E. | DOAJ | 2015
    Schlagwörter: Web-based teaching and learning

    Identification of optimal locations of adaptive traffic signal control using heuristic methods

    Freier Zugriff
    Tanveer Ahmed / Hao Liu / Vikash V. Gayah | DOAJ | 2024
    Schlagwörter: Population based incremental learning

    Improved classification of surface defects for quality control of car body panels

    Doring, C. / Eichhorn, A. / Wang, Xiaomeng et al. | Tema Archiv | 2007
    Schlagwörter: Lernen

    Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps

    Liu, Yicong / Miller, Eric J. / Habib, Khandker Nurul | ASCE | 2023
    Schlagwörter: Machine learning model

    Integrated YOLO and CNN Algorithms for Evaluating Degree of Walkway Breakage

    Choi, Min Je / Ku, Dong Gyun / Lee, Seung Jae | Springer Verlag | 2022
    Schlagwörter: Image deep learning

    Intelligent constant current control for resistance spot welding

    El-Banna, M. / Filev, D. / Chinnam, R.B. | Tema Archiv | 2007
    Schlagwörter: Lernen

    Internal Defect Detection of Structures Based on Infrared Thermography and Deep Learning

    Deng, Lu / Zuo, Hui / Wang, Wei et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Investigating pedestrian crash patterns at high-speed intersection and road segments: Findings from the unsupervised learning algorithm

    Freier Zugriff
    Ahmed Hossain / Xiaoduan Sun / Niaz Mahmud Zafri et al. | DOAJ | 2024
    Schlagwörter: Unsupervised learning