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    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Keywords: deep learning , probabilistic learning , deep Bayesian belief network learning

      Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

      Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Online Contents | 2018
      Keywords: deep learning , probabilistic learning , deep Bayesian belief network learning

    A reinforcement learning model for personalized driving policies identification

    Free access
    Dimitris M. Vlachogiannis / Eleni I. Vlahogianni / John Golias | DOAJ | 2020
    Keywords: Reinforcement learning , Q-learning , Machine learning

    Case-based adaptation for automotive engine electronic control unit calibration

    Vong, Chi-man / Wong, Pak-Kin | Tema Archive | 2010
    Keywords: Lernen

    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
    Keywords: Machine learning , Deep learning

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Keywords: Betriebliches Lernen

    Kennzahlen per Intranet

    Becker, Egbert | IuD Bahn | 2004
    Keywords: Betriebliches Lernen

    Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

    Liao, Kuo-Wei / Muto, Yasunori / Lin, Jhe-Yu | Springer Verlag | 2017
    Keywords: machine learning

      Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

      Liao, Kuo-Wei / Muto, Yasunori / Lin, Jhe-Yu | Online Contents | 2018
      Keywords: machine learning

    Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning

    Chao Lu | Online Contents | 2017
    Keywords: Learning , Aversion learning , Serial learning

    Condition assessment of high-speed railway track structure based on sparse Bayesian extreme learning machine and Bayesian hypothesis testing

    Wang, Senrong / Gao, Jingze / Lin, Chao et al. | Taylor & Francis Verlag | 2023
    Keywords: sparse bayesian learning , extreme learning machine

    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Keywords: deep learning

    Application of Teaching-Learning-Based-Optimization algorithm for the discrete optimization of truss structures

    Dede, Tayfun | Springer Verlag | 2014
    Keywords: teaching-learning-based optimization

      Application of Teaching-Learning-Based-Optimization algorithm for the discrete optimization of truss structures

      Dede, Tayfun | Online Contents | 2014
      Keywords: teaching-learning-based optimization

    Online maximization of extracted energy in sea wave energy converters using temporal-difference learning

    Khaleghi, Sadegh / Moghaddam, Reihaneh Kardehi / Sistani, Mohammadbagher Naghibi | SAGE Publications | 2023
    Keywords: Temporal difference learning

    Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona

    Cottam, Adrian / Li, Xiaofeng / Ma, Xiaobo et al. | ASCE | 2024
    Keywords: Machine learning

    Stacking sequence optimization for maximum fundamental frequency of simply supported antisymmetric laminated composite plates using Teaching–learning-based Optimization

    Topal, Umut / Dede, Tayfun / Öztürk, Hasan Tahsin | Springer Verlag | 2017
    Keywords: teaching–learning-based optimization

      Stacking sequence optimization for maximum fundamental frequency of simply supported antisymmetric laminated composite plates using Teaching–learning-based Optimization

      Topal, Umut / Dede, Tayfun / Öztürk, Hasan Tahsin | Online Contents | 2017
      Keywords: teaching–learning-based optimization

    Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

    Jehanzaib, Muhammad / Shah, Sabab Ali / Son, Ho Jun et al. | Springer Verlag | 2022
    Keywords: Machine-learning classifier , Supervised learning

    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
    Keywords: Deep learning , Ensemble learning

    SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models

    Koushik, Anil / Manoj, M. / Nezamuddin, N. | Springer Verlag | 2024
    Keywords: Deep learning , Machine learning

    Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations

    Shi, Dachuan / Ye, Yunguang / Gillwald, Marco et al. | Taylor & Francis Verlag | 2021
    Keywords: machine learning

    Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm

    Lee, Seok Bong / Suh, Kyung-Duck | Online Contents | 2019
    Keywords: machine learning

    Development of a global road safety performance function using deep neural networks

    Free access
    Guangyuan Pan / Liping Fu / Lalita Thakali | DOAJ | 2017
    Keywords: Deep learning

    Optimization Model of Life Cycle Repair Decisions for Track Network

    Wenfei, Bai / Yun, Wei / Rengkui, Liu | ASCE | 2022
    Keywords: Adaptive learning (AL)

    The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data

    Bagińska, Marta / Srokosz, Piotr E. | Springer Verlag | 2018
    Keywords: deep learning

      The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations trained on Scarce Data

      Bagińska, Marta / Srokosz, Piotr E. | Online Contents | 2019
      Keywords: deep learning

    Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning

    Lee, Kyeong Seok / Ahn, Jin-Hee / Park, Hae-Yong et al. | Springer Verlag | 2023
    Keywords: Machine-learning regression , Supervised learning

    Prediction of vehicle reliability performance using artificial neural networks

    Lolas, S. / Olatunbosun, O.A. | Tema Archive | 2008
    Keywords: Lernen

    Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique

    Lyu, Tao / Xu, Changhang / Chen, Guoming et al. | Springer Verlag | 2019
    Keywords: deep learning

      Reliability of Jack-up against Punch-through using Failure State Intelligent Recognition Technique

      Lyu, Tao / Xu, Changhang / Chen, Guoming et al. | Online Contents | 2019
      Keywords: deep learning

    Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

    Gui, Guoqing / Pan, Hong / Lin, Zhibin et al. | Springer Verlag | 2017
    Keywords: support vector machine learning

      Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

      Gui, Guoqing / Pan, Hong / Lin, Zhibin et al. | Online Contents | 2017
      Keywords: support vector machine learning

    Spreadsheet Calculators for Stability Number of Armor Units Based on Artificial Neural Network Models

    Kim, In-Chul / Suh, Kyung-Duck | Springer Verlag | 2019
    Keywords: machine learning

      Spreadsheet Calculators for Stability Number of Armor Units Based on Artificial Neural Network Models

      Kim, In-Chul / Suh, Kyung-Duck | Online Contents | 2019
      Keywords: machine learning

    Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning

    Chen, Tao / Fang, Jie / Xu, Mengyun et al. | ASCE | 2022
    Keywords: Deep learning

    Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models

    Free access
    Mahdi Rezapour / Amirarsalan Mehrara Molan / Khaled Ksaibati | DOAJ | 2020
    Keywords: Machine learning techniques

    Net winch design in trawlers, influence of vessel size and fishing ground

    Carral Couce, Luis / Couce, Juan Carral / Tarrío-Saavedra, Javier et al. | SAGE Publications | 2019
    Keywords: statistical learning

    Navigational control of underwater mobile robot using dynamic differential evolution approach

    Parhi, Dayal R / Kundu, S | SAGE Publications | 2017
    Keywords: self-learning

    Predicting the traction power of metropolitan railway lines using different machine learning models

    Pineda-Jaramillo, J. / Martínez-Fernández, P. / Villalba-Sanchis, I. et al. | Taylor & Francis Verlag | 2021
    Keywords: Machine Learning

    An optimized metamodel for predicting damage and oil outflow in tanker collision accidents

    Free access
    Das, Tanmoy / Goerlandt, Floris / Tabri, Kristjan | SAGE Publications | 2022
    Keywords: machine learning

    Using supervised machine learning algorithms in pavement degradation monitoring

    Free access
    Amir Shtayat / Sara Moridpour / Berthold Best et al. | DOAJ | 2023
    Keywords: 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
    Keywords: Deep learning

    Modeling Human Learning and Cognition Structure: Application to Driver Behavior in Dilemma Zone

    Sahar Ghanipoor Machiani | Online Contents | 2016
    Keywords: Learning

    Automatic clustering-based approach for train wheels condition monitoring

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    A deep learning method for the prediction of 6-DoF ship motions in real conditions

    Free access
    Zhang, Mingyang / Taimuri, Ghalib / Zhang, Jinfen et al. | SAGE Publications | 2023
    Keywords: deep learning

    Research on fault prediction of marine diesel engine based on attention-LSTM

    Liu, Yi / Gan, Huibing / Cong, Yujin et al. | SAGE Publications | 2023
    Keywords: deep learning

    A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder

    Pan, Penghao / Zhao, Dong / Li, Yueyang | SAGE Publications | 2023
    Keywords: semi-supervised learning

    Automatic topics extraction from crowdsourced cyclists near-miss and collision reports using text mining and Artificial Neural Networks

    Free access
    Keneth Morgan Kwayu / Valerian Kwigizile / Kevin Lee et al. | DOAJ | 2022
    Keywords: Machine learning

    Prediction of lateral confinement coefficient in reinforced concrete columns using M5′ machine learning method

    Naeej, Mojtaba / Bali, Meysam / Naeej, Mohamad Reza et al. | Springer Verlag | 2013
    Keywords: M5’ machine learning method

      Prediction of lateral confinement coefficient in reinforced concrete columns using M5′ machine learning method

      Naeej, Mojtaba / Bali, Meysam / Naeej, Mohamad Reza et al. | Online Contents | 2013
      Keywords: M5’ machine learning method

    Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification

    Aboah, Armstrong / Adu-Gyamfi, Yaw / Gursoy, Senem Velipasalar et al. | ASCE | 2023
    Keywords: Machine learning

    Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

    Feng, Chuncheng / Zhang, Hua / Wang, Shuang et al. | Springer Verlag | 2019
    Keywords: transfer learning

      Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

      Feng, Chuncheng / Zhang, Hua / Wang, Shuang et al. | Online Contents | 2019
      Keywords: transfer learning

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

    Free access
    Ahmed Hossain / Xiaoduan Sun / Niaz Mahmud Zafri et al. | DOAJ | 2024
    Keywords: Unsupervised learning

    Vibration-based Damage Detection in Bridges via Machine Learning

    Sun, Shuang / Liang, Li / Li, Ming et al. | Springer Verlag | 2018
    Keywords: machine learning

      Vibration-based Damage Detection in Bridges via Machine Learning

      Sun, Shuang / Liang, Li / Li, Ming et al. | Online Contents | 2018
      Keywords: machine learning

    Real-Time Optimization of Urban Rail Transit Train Scheduling via Advantage Actor–Critic Deep Reinforcement Learning

    Wen, Longhui / Zhou, Wei / Liu, Jiajun et al. | ASCE | 2024
    Keywords: Deep reinforcement learning

    What Lies behind Idle Connection Time in Fast-Charging Public Stations: Evidence from Changshu, China

    Zhou, Xizhen / Ding, Xueqi / Ji, Yanjie | ASCE | 2024
    Keywords: Machine learning