1–50 von 152 Ergebnissen
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    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

    What is the Impact of COVID-19 on Residential Water Use?

    Sung, Jang Hyun / Chung, Eun-Sung | Springer Verlag | 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

    Using supervised machine learning algorithms in pavement degradation monitoring

    Freier Zugriff
    Amir Shtayat / Sara Moridpour / Berthold Best et al. | DOAJ | 2023
    Schlagwörter: Machine Learning

    Unveiling the influential factors for customized bus service reopening from naturalistic observations in Shanghai

    Freier Zugriff
    Yu Shen / Chenlong Xu / Shengchuan Jiang et al. | DOAJ | 2024
    Schlagwörter: Explainable machine learning

    Unsupervised Approach to Investigate Urban Traffic Crashes Based on Crash Unit, Crash Severity, and Manner of Collision

    Maniei, Farzin / Mattingly, Stephen P. | ASCE | 2024
    Schlagwörter: Unsupervised learning

    Truck industry classification from anonymous mobile sensor data using machine learning

    Freier Zugriff
    Taslima Akter / Sarah Hernandez | DOAJ | 2022
    Schlagwörter: Machine learning

    Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design

    Worthey, Hampton / Yang, Jidong J. / Kim, S. Sonny | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning

    Hasan, Raed Abdullah / Irshaid, Hafez / Alhomaidat, Fadi et al. | Springer Verlag | 2022
    Schlagwörter: Machine learning

    Training Pattern-Recognition Machines

    A. G. Arkadev / E. M. Braverman | NTIS | 1966
    Schlagwörter: Learning machines

    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

    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

    The impact of the combination equilibrium of horizontal and sag-vertical curves on safety

    Freier Zugriff
    Xiaofei Wang / Siyu Li / Tianjie Shen et al. | DOAJ | 2023
    Schlagwörter: Machine learning

    Structural Deformation Sensing Based on Distributed Optical Fiber Monitoring Technology and Neural Network

    Hou, Gong-Yu / Li, Zi-Xiang / Wang, Kai-Di et al. | Springer Verlag | 2021
    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

    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

    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

    Spanish - Basic Course, Units 31-45 (Audiocassettes)

    NTIS | 1996
    Schlagwörter: Second language learning

    Shrinkage Crack Detection in Expansive Soil using Deep Convolutional Neural Network and Transfer Learning

    Andrushia, A. Diana / Neebha, T. Mary / Umadevi, S. et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method

    Li, Yuanping / Ma, Changxi | ASCE | 2023
    Schlagwörter: Kernel extreme learning machine (KELM)

    Short-Term Holiday Travel Demand Prediction for Urban Tour Transportation: A Combined Model Based on STC-LSTM Deep Learning Approach

    Li, Wanying / Guan, Hongzhi / Han, Yan et al. | Springer Verlag | 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

    Sequential Prediction of the TBM Tunnelling Attitude Based on Long-Short Term Memory with Mechanical Movement Principle

    Wang, Ruirui / Xiao, Yuhang / Guo, Qian et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Semi-Supervised Land Cover Classification of Remote Sensing Imagery Using CycleGAN and EfficientNet

    Kwak, Taehong / Kim, Yongil | Springer Verlag | 2023
    Schlagwörter: Semi-supervised learning

    SEMA: A Site Equipment Management Assistant for Construction Management

    Tsai, Meng-Han / Yang, Cheng-Hsuan / Wang, Chen-Hsuan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data

    Morris, Clint / Yang, Jidong J. / Chorzepa, Mi Geum et al. | ASCE | 2022
    Schlagwörter: Self-supervised 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
    Schlagwörter: Machine-learning regression , Supervised learning

    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

    Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

    Freier Zugriff
    Tianyang Luo / Junhua Wang / Ting Fu et al. | DOAJ | 2023
    Schlagwörter: Machine learning approach

    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

    Representative truck activity patterns from anonymous mobile sensor data

    Freier Zugriff
    Taslima Akter / Sarah Hernandez | DOAJ | 2023
    Schlagwörter: Machine 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

    Real-time risk assessment of aircraft landing based on finite element-virtual prototype-machine learning co-simulation on wet runways

    Freier Zugriff
    Xingyi Zhu / Yanan Wu / Yang Yang et al. | DOAJ | 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

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

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

    Railway Maintenance Management Using a Stochastic Geometrical Degradation Model

    Golroo, Amir | Online Contents | 2016
    Schlagwörter: Learning models (Stochastic processes)

    PSO-based Machine Learning Methods for Predicting Ground Surface Displacement Induced by Shallow Underground Excavation Method

    Kong, Fanchao / Tian, Tao / Lu, Dechun et al. | Springer Verlag | 2023
    Schlagwörter: Machine learning methods

    Presenting a Hybrid Scheme of Machine Learning Combined with Metaheuristic Optimizers for Predicting Final Cost and Time of Project

    Bakhshi, Reza / Moradinia, Sina Fard / Jani, Rasool et al. | Springer Verlag | 2022
    Schlagwörter: Hybrid machine 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

    Prediction of the Impact of Typhoons on Transportation Networks with Support Vector Regression

    Hu, Ta-Yin | Online Contents | 2015
    Schlagwörter: 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
    Schlagwörter: Deep 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

    Prediction of buckling coefficient of stiffened plate girders using deep learning algorithm

    Papazafeiropoulos, George / Vu, Quang-Viet / Truong, Viet-Hung et al. | Springer Verlag | 2019
    Schlagwörter: deep learning

    Prediction of Asphalt Pavement Fatigue Damage of Expressway Based on Deep Learning

    Tan, Xuxiang / Sun, Huadong / Nan, Feng | Springer Verlag | 2020
    Schlagwörter: Deep 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
    Schlagwörter: Machine Learning

    Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods

    Le, Ba-Anh / Vu, Viet-Hung / Seo, Soo-Yeon et al. | Springer Verlag | 2022
    Schlagwörter: Machine 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

    Pore Structure Identification Method for Pervious Concrete Based on Improved UNet and Fusion Algorithm

    Yu, Fan / Li, Kailang / Zhang, Hua et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach

    Freier Zugriff
    Limon Barua / Bo Zou | DOAJ | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Pavement Surface Condition Index Prediction Based on Random Forest Algorithm

    Yu, Ting / Pei, Li-Ii / Li, Wei et al. | ASCE | 2021
    Schlagwörter: Machine learning