Synonyme wurden verwendet für: Maschinelles Lernen
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1–50 von 323 Ergebnissen
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    Risk-aware and Robust Approaches for Machine Learning-supported Model Predictive Control for Iterative Processes

    Freier Zugriff
    Morabito, Bruno | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Adaptive human-robot policy blending for shared control teleoperation

    Freier Zugriff
    Oh, Yoojin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    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

    Enhancing autonomous vehicle hyperawareness in busy traffic environments: A machine learning approach

    Alozi, Abdul Razak / Hussein, Mohamed | Elsevier | 2024
    Schlagwörter: Machine learning

    Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US

    Wang, Shuli / Gao, Kun / Zhang, Lanfang et al. | Elsevier | 2024
    Schlagwörter: Spatial machine learning

    AI-Based Virtual Sensing of Gaseous Pollutant Emissions at the Tailpipe of a High-Performance Vehicle

    Brusa, Alessandro / Petrone, Boris / Giovannardi, Emanuele et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Research on the air brake system of heavy haul trains based on neural network

    Zhou, Xinyi / Cheng, Shu / Yu, Tianjian et al. | Taylor & Francis Verlag | 2024
    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

    Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa

    Mouafik, Mohamed / Fouad, Mounir / Audet, Felix Antoine et al. | Elsevier | 2024
    Schlagwörter: Machine Learning

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

    Freier Zugriff
    Mohammed Moinuddin / Logan Proffer / Matthew Vechione et al. | DOAJ | 2024
    Schlagwörter: Applied 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

    Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety

    Xue, Huiyuan / Guo, Peizhuo / Li, Yiyan et al. | Elsevier | 2024
    Schlagwörter: Automated machine 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

    Automatic Obstructive Sleep Apnea Identification Using First Order Statistics Features of Electrocardiogram and Machine Learning

    Indrawati, Aida Noor / Nuryani, Nuryani / Wiharto, Wiharto et al. | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Machine Learning-Based Modeling and Predictive Control of Combustion Phasing and Load in a Dual-Fuel Low-Temperature Combustion Engine

    Sarangi, Asish Kumar / Punasiya, Mohit | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

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

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

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

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

    Driver Skill Profiling Using Machine Learning

    Akhtar, Nadeem / Mohan, Mithun | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Ear-Based Detection of Driver’s Drowsiness Using Visual Features

    Jeavudeen, Shiek / Shajahan, Murshitha / Nafees, Muhyiddeen | Springer Verlag | 2024
    Schlagwörter: Machine Learning

    Exploring Sensor Technologies and Automation Levels in Autonomous Vehicles

    Khare, Mayank Deep / Raghavendra, R. | Springer Verlag | 2024
    Schlagwörter: Machine Learning

    Rash Driving Detection and Alerting System

    Dehankar, Vishwas / Tadse, Surekha | Springer Verlag | 2024
    Schlagwörter: Machine Learning

    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)

    Ganasan, Shatiskumar / Sazali, Norazlianie | Springer Verlag | 2024
    Schlagwörter: Machine learning

    Artificial Intelligence for Spectral Analysis: a Comprehensive Framework

    Freier Zugriff
    Xie, Xiang | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Designing [with] machines : task- and site-specific robotic teams for architectural in situ making

    Freier Zugriff
    Yablonina, Maria | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Self-supervised learning of primitive-based robotic manipulation

    Freier Zugriff
    Berscheid, Lars | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Gaussian Processes in Control: Performance Guarantees through Efficient Learning

    Freier Zugriff
    Lederer, Armin | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    The usefulness of artificial intelligence for safety assessment of different transport modes

    Tselentis, Dimitrios I. / Papadimitriou, Eleonora / van Gelder, Pieter | Elsevier | 2023
    Schlagwörter: Machine Learning

    Sampling-based exploration strategies for mobile robot autonomy

    Freier Zugriff
    Steinbrink, Marco | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Towards safer streets: A framework for unveiling pedestrians’ perceived road safety using street view imagery

    Hamim, Omar Faruqe / Ukkusuri, Satish V. | Elsevier | 2023
    Schlagwörter: Machine learning

    Exploring nighttime pedestrian crash patterns at intersection and segments: Findings from the machine learning algorithm

    Hossain, Ahmed / Sun, Xiaoduan / Shahrier, Mahir et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Piston Slap Condition Monitoring and Fault Diagnosis Using Machine Learning Approach

    Rameshkumar, K. / Kochukrishnan, Praveen / Srihari, S. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Learning motion skills for a humanoid robot

    Freier Zugriff
    Bestmann, Marc / Universität Hamburg | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

    Analyzing the injury severity in single-bicycle crashes: An application of the ordered forest with some practical guidance

    Zhang, Yingheng / Li, Haojie / Ren, Gang | Elsevier | 2023
    Schlagwörter: Machine learning

    A Review of Intelligence-Based Vehicles Path Planning

    Hao, Bing / Zhao, JianShuo / Wang, Qi | SAE Technical Papers | 2023
    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

    Machine Learning Tabulation Scheme for Fast Chemical Kinetics Computation

    Ebrahimi, Khashayar / Patidar, Lalit / Fogla, Navin et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

    Ali, Yasir / Hussain, Fizza / Haque, Md Mazharul | Elsevier | 2023
    Schlagwörter: Machine learning

    Misfire Detection Technology with Deep Neural Network Based on Ignition Coil Signals

    Jitsu, Hideo / Kumano, Kengo / Amaya, Kenji et al. | SAE Technical Papers | 2023
    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

    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

    Automatic clustering-based approach for train wheels condition monitoring

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

    Injury severity prediction of cyclist crashes using random forests and random parameters logit models

    Scarano, Antonella / Rella Riccardi, Maria / Mauriello, Filomena et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Comparative performance of Sentinel-2 MSI and Landsat-8 OLI data in canopy cover prediction using Random Forest model: Comparing model performance and tuning parameters

    Bera, Dipankar / Das Chatterjee, Nilanjana / Bera, Sudip et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    An interpretable clustering approach to safety climate analysis: Examining driver group distinctions

    Sun, Kailai / Lan, Tianxiang / Goh, Yang Miang et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    Prediction of Zenith tropospheric delay in GNSS observations using support vector regression

    Akar, Ali Utku / Inal, Cevat | Elsevier | 2023
    Schlagwörter: Machine Learning

    An integrated data- and theory-driven crash severity model

    Liu, Dongjie / Li, Dawei / Sze, N.N. et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine learning