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1–50 von 124 Ergebnissen
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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
    Schlagwörter: 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
      Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network 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

    Case-based adaptation for automotive engine electronic control unit calibration

    Vong, Chi-man / Wong, Pak-Kin | Tema Archiv | 2010
    Schlagwörter: Lernen

    Date Estimation in the Wild Dataset

    Freier Zugriff
    Müller, Eric / Springstein, Matthias / Ewerth, Ralph | DataCite | 2017
    Schlagwörter: Machine Learning , Deep Learning

    Evolutionary Computation Methods for Helicopter Loads Estimation

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

    Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

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

      Scour Depth Evaluation of a Bridge with a Complex Pier Foundation

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

    Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning

    Chao Lu | Online Contents | 2017
    Schlagwörter: Learning , Aversion learning , Serial 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
    Schlagwörter: 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
    Schlagwörter: 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
      Schlagwörter: teaching–learning-based optimization

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

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

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

      Dede, Tayfun | Online Contents | 2014
      Schlagwörter: 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
    Schlagwörter: Temporal difference 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

    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

    Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

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

    Real-Time Crash Likelihood Prediction Using Temporal Attention–Based Deep Learning and Trajectory Fusion

    Li, Pei / Abdel-Aty, Mohamed | ASCE | 2022
    Schlagwörter: Deep learning

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

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

    Development of Wave Overtopping Formulas for Inclined Seawalls using GMDH Algorithm

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

    Optimization Model of Life Cycle Repair Decisions for Track Network

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

    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
    Schlagwörter: 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
      Schlagwörter: support vector machine learning

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

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

    Prediction of vehicle reliability performance using artificial neural networks

    Lolas, S. / Olatunbosun, O.A. | Tema Archiv | 2008
    Schlagwörter: Lernen

    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
    Schlagwörter: Machine-learning regression , Supervised learning

    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
    Schlagwörter: statistical 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
    Schlagwörter: Deep learning

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

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

    An ANS based helicopter transmission diagnostic system

    Xu, X. / Vanderveldt, H. / Allen, R. | Tema Archiv | 1997
    Schlagwörter: Lernen

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

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

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

    Sahar Ghanipoor Machiani | Online Contents | 2016
    Schlagwörter: Learning

    Navigational control of underwater mobile robot using dynamic differential evolution approach

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

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

    Freier Zugriff
    Das, Tanmoy / Goerlandt, Floris / Tabri, Kristjan | SAGE Publications | 2022
    Schlagwörter: machine learning

    Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification

    Aboah, Armstrong / Adu-Gyamfi, Yaw / Gursoy, Senem Velipasalar et al. | ASCE | 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

    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
    Schlagwörter: semi-supervised 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
    Schlagwörter: 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
      Schlagwörter: M5’ machine learning method

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

    Freier Zugriff
    Zhang, Mingyang / Taimuri, Ghalib / Zhang, Jinfen et al. | SAGE Publications | 2023
    Schlagwörter: 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
    Schlagwörter: deep learning

    Vibration-based Damage Detection in Bridges via Machine Learning

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

      Vibration-based Damage Detection in Bridges via Machine Learning

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

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

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

    Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

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

      Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

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

    Leveraging machine learning to predict rail corrugation level from axle-box acceleration measurements on commercial vehicles

    Hassanieh, Wael / Chehade, Abdallah / Facchinetti, Alan et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: 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
    Schlagwörter: Deep reinforcement learning

    Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method

    Zhao, Hui / Gunardi, Willy / Liu, Yang et al. | ASCE | 2022
    Schlagwörter: Ensemble learning

    Metaheuristic Optimization of Reinforced Concrete Footings

    Nigdeli, Sinan Melih / Bekdaş, Gebrail / Yang, Xin-She | Springer Verlag | 2018
    Schlagwörter: teaching-learning based optimization

      Metaheuristic Optimization of Reinforced Concrete Footings

      Nigdeli, Sinan Melih / Bekdaş, Gebrail / Yang, Xin-She | Online Contents | 2018
      Schlagwörter: teaching-learning based optimization

    A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem

    Oh, Chang Kook / Beck, James L. | Springer Verlag | 2018
    Schlagwörter: Bayesian learning method

      A Bayesian Learning Method for Structural Damage Assessment of Phase I IASC-ASCE Benchmark Problem

      Oh, Chang Kook / Beck, James L. | Online Contents | 2018
      Schlagwörter: Bayesian learning method

    A Deep Learning-Based Procedure for Safety Evaluation of Steel Frames Using Advanced Analysis

    Ha, Manh-Hung / Vu, Quang-Viet / Truong, Viet-Hung | Springer Verlag | 2019
    Schlagwörter: Deep learning , Machine learning

    Traffic Order Analysis of Intersection Entrance Based on Aggressive Driving Behavior Data Using CatBoost and SHAP

    Zhao, Xiaohua / Qi, Hang / Yao, Ying et al. | ASCE | 2023
    Schlagwörter: Machine 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

    Machine learning approaches for improving condition-based maintenance of naval propulsion plants

    Coraddu, Andrea / Oneto, Luca / Ghio, Aessandro et al. | SAGE Publications | 2016
    Schlagwörter: machine learning

    Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis

    Balogun, Ibrahim / Attoh-Okine, Nii | ASCE | 2023
    Schlagwörter: Deep 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)