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    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Keywords: machine 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

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Keywords: machine 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

    Data-Driven Method for Real-Time Reconstruction of the Structural Displacement Field

    Yan, Jun / Du, Hongze / Bu, Yufeng et al. | ASCE | 2024
    Keywords: Deep learning

    Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections

    Spatharis, Christos / Blekas, Konstantinos | Taylor & Francis Verlag | 2024
    Keywords: multiagent reinforcement learning

    Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism

    Zhao, Guanglei / Chen, Zihao / Liao, Weiming | Springer Verlag | 2024
    Keywords: Reinforcement 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

    Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network

    Zhang, Hong / Wang, Hongyan / Chen, Linlong et al. | Springer Verlag | 2024
    Keywords: Deep learning

    Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

    Yun, Hyunsoo / Kim, Eui-Jin / Ham, Seung Woo et al. | Taylor & Francis Verlag | 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

    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

    A data-driven method for flight time estimation based on air traffic pattern identification and prediction

    Yang, Chunwei / Zhang, Junfeng / Gui, Xuhao et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections

    Free access
    Mohammed Moinuddin / Logan Proffer / Matthew Vechione et al. | DOAJ | 2024
    Keywords: Applied Machine Learning

    Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression

    Han, Ling / Wang, Yiren / Chi, Ruifeng et al. | Springer Verlag | 2024
    Keywords: Deep reinforcement learning

    A state-of-the-art survey of deep learning models for automated pavement crack segmentation

    Free access
    Hongren Gong / Liming Liu / Haimei Liang et al. | DOAJ | 2024
    Keywords: Deep learning

    Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions

    Jung, Sungpil / Lee, Junhee | Springer Verlag | 2024
    Keywords: 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
    Keywords: Unsupervised learning

    An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

    Free access
    Miaojia Lu / Xinyu Yan / Shadi Sharif Azadeh et al. | DOAJ | 2024
    Keywords: Deep reinforcement learning

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

    Free access
    Tanveer Ahmed / Hao Liu / Vikash V. Gayah | DOAJ | 2024
    Keywords: Population based incremental learning

    Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data

    Zhang, Zihe / Nie, Qifan / Liu, Jun et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

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

    Free access
    Yu Shen / Chenlong Xu / Shengchuan Jiang et al. | DOAJ | 2024
    Keywords: Explainable machine learning

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

    Free access
    Xingyi Zhu / Yanan Wu / Yang Yang et al. | DOAJ | 2024
    Keywords: Machine learning

    Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications

    Park, Soyeon / Kim, Sunjoong | Springer Verlag | 2024
    Keywords: Deep Learning

    Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns

    Yu, Yong / Hu, Tianyu | Springer Verlag | 2024
    Keywords: Machine learning

    Crack Detection of the Urban Underground Utility Tunnel Based on Residual Feature Pyramid Attention Network

    Zhou, Yuan / Li, Chengwei / Wang, Shoubin et al. | Springer Verlag | 2024
    Keywords: Residual learning

    Effectiveness of an Immersive VR System for Construction Site Planning Education

    Wang, Kun-Chi / Hsu, Liang-Yu | Springer Verlag | 2024
    Keywords: Learning effect evaluation

    Simulation-driven design of a fast monohull

    Free access
    Harries, Stefan / Ahmed, Osama / Uharek, Sebastian | Taylor & Francis Verlag | 2024
    Keywords: machine learning (ML)

    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
    Keywords: Deep learning

    Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning

    Moon, Seokho / Lee, Jinhee / Kim, Hyung Jun et al. | Springer Verlag | 2024
    Keywords: Machine learning

    Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach

    Cheng, Yanqiu / Hu, Xianbiao / Chen, Kuanmin et al. | Taylor & Francis Verlag | 2023
    Keywords: deep Q-learning , reinforcement 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
    Keywords: Machine learning , Deep learning

    Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data

    Wang, Hao / Yuan, Yun / Yang, Xianfeng Terry et al. | Taylor & Francis Verlag | 2023
    Keywords: deep reinforcement learning , Q-learning

    Decision-making for Connected and Automated Vehicles in Chanllenging Traffic Conditions Using Imitation and Deep Reinforcement Learning

    Hu, Jinchao / Li, Xu / Hu, Weiming et al. | Springer Verlag | 2023
    Keywords: Imitation learning , Deep reinforcement 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

    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

    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

    Estimating the effect of biofouling on ship shaft power based on sensor measurements

    Free access
    Bakka, Haakon / Rognebakke, Hanne / Glad, Ingrid et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    Suppression of Roll Oscillations of a Canard-Configuration Model Using Fluid Effector and Reinforcement Learning

    Dong, Yizhang / Shi, Zhiwei / Chen, Kun et al. | ASCE | 2023
    Keywords: Reinforcement 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

    Arterial corridor travel time prediction under non-recurring conditions

    Shafiei, Sajjad / Wang, Eileen / Grzybowska, Hanna et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach

    Song, Yang / Hu, Xianbiao | Taylor & Francis Verlag | 2023
    Keywords: ensemble 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

    Impact Angle Control Guidance Considering Seeker’s Field-of-View Limit Based on Reinforcement Learning

    Lee, Sangmin / Lee, Youngjun / Kim, Youdan et al. | AIAA | 2023
    Keywords: Reinforcement Learning

    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

    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

    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