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    Vulnerability-based regionalization for disaster management considering storms and earthquakes

    Chen, Yenming J. / Chang, Kuo-Hao / Sheu, Jiuh-Biing et al. | Elsevier | 2022
    machine learning method to replace the frequency-style vulnerability with an intelligent measure, which will enhance the assessment by predicting ...
    Schlagwörter: Extreme rainfall

    Vision-based traffic accident detection using sparse spatio-temporal features and weighted extreme learning machine

    Freier Zugriff
    Yu, Yuanlong / Xu, Miaoxing / Gu, Jason | IET | 2019
    extreme learning machine (W-ELM) for detection. The ST-IHT algorithm can improve the sparsity of encoded features by solving an norm ...
    Schlagwörter: learning (artificial intelligence) , weighted extreme learning machine

      Vision‐based traffic accident detection using sparse spatio‐temporal features and weighted extreme learning machine

      Freier Zugriff
      Yu, Yuanlong / Xu, Miaoxing / Gu, Jason | Wiley | 2019
      extreme learning machine (W‐ELM) for detection. The ST‐IHT algorithm can improve the sparsity of encoded features by solving an norm ...
      Schlagwörter: weighted extreme learning machine , learning (artificial intelligence)

    Trabecular Bone Segmentation Based On Segment Profile Characteristics Using Extreme Learning Machine On Dental Panoramic Radiographs

    Freier Zugriff
    Ekoputris, Rizqi Okta / Arifin, Agus Zainal / Wijaya, Arya Yudhi et al. | BASE | 2017
    pixels as training data to create Extreme Learning Machine model. The output of this classifier is the segmentation area of trabecular bone. On ...
    Schlagwörter: Extreme Learning Machine

    The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time via Pattern Recognition

    Freier Zugriff
    M.S., Marhaini / Ameedeen, Mohamed Ariff | BASE | 2016
    classification technique to calculate food calorie intake in real-time. Enhancement on Extreme Learning Machine (ELM) algorithm will be done to get ...
    Schlagwörter: Extreme Learning Machine (ELM)

    The Jump into the Void

    Tenetz, Antti | Springer Verlag | 2024
    and space missions in the framework of analog astronaut training. Some to be mentioned; machine learning, 3D scanning and using 3d modeling ...
    Schlagwörter: AI machine learning , Creative use of machine learning , Extreme environments Callio Lab

    Soft one-class extreme learning machine for turboshaft engine fault detection

    Zhao, Yong-Ping / Huang, Gong | SAGE Publications | 2022
    One-class extreme learning machine (OC-ELM) is a very common one-class classification algorithm. In the process of constructing the OC-ELM ...
    Schlagwörter: machine learning , one-class extreme learning machine

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

    Li, Yuanping / Ma, Changxi | ASCE | 2023
    secondary decomposition integration method that combines empirical modal decomposition (EMD), sample entropy (SE), and kernel extreme learning ...
    Schlagwörter: Kernel extreme learning machine (KELM)

    Short‐term traffic flow prediction of road network based on deep learning

    Freier Zugriff
    Han, Lei / Huang, Yi‐Shao | Wiley | 2020
    term on prediction accuracy is removed. Finally, by combining a deep belief network model and a kernel extreme learning machine classifier as ...
    Schlagwörter: deep learning , learning (artificial intelligence) , kernel extreme learning machine classifier

      Short-term traffic flow prediction of road network based on deep learning

      Freier Zugriff
      Han, Lei / Huang, Yi-Shao | IET | 2020
      term on prediction accuracy is removed. Finally, by combining a deep belief network model and a kernel extreme learning machine classifier as ...
      Schlagwörter: learning (artificial intelligence) , deep learning , kernel extreme learning machine classifier

    Short-term prediction of airway congestion index using machine learning methods

    Yang, Zhao / Tang, Rong / Zeng, Weili et al. | Elsevier | 2021
    Schlagwörter: Extreme gradient boosting

    RFID Localization System Based on K-Nearest Neighbor Algorithm and Extreme Learning Machine Algorithm with Virtual Reference Tags

    Freier Zugriff
    Zhang, Changsheng / Li, Yaoxian | BASE | 2019
    ) and extreme learning machine (ELM) by using virtual reference tags. In this paper, LANDMARC location algorithm is used in regional location ...
    Schlagwörter: extreme learning machine

    Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics

    Hussain, Fizza / Ali, Yasir / Li, Yuefeng et al. | Elsevier | 2024
    Hybrid models of machine learning and extreme value theory models for estimating pedestrian crashes ...
    Schlagwörter: Extreme value theory , Machine learning

    Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine

    Baron, Carolina Maria Cardona / Zhang, Jie | Springer Verlag | 2019
    process using bootstrap aggregated extreme learning machine. In order to overcome the difficulty in developing detailed mechanistic models ...
    Schlagwörter: Extreme learning machine

    Reduced-order prediction of unsteady spatial-temporal aerodynamics in a turbine cascade

    Qiao, Tianyang / Hu, Chenxing / Yang, Ce | Elsevier | 2024
    Schlagwörter: Machine Learning , Extreme Gradient boosting

    Receding Horizon Optimal Control of Hybrid Electric Vehicles Using ELM-Based Driver Acceleration Rate Prediction

    Zhang, Jiangyan / Xu, Fuguo / Zhang, Yahui et al. | Springer Verlag | 2019
    improve the vehicle performance, an extreme learning machine (ELM) model is developed with the information of vehicle-to-infrastructure (V2I) and ...
    Schlagwörter: Extreme learning machine

    Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

    Khan, Waqar Ahmed / Ma, Hoi-Lam / Ouyang, Xu et al. | Elsevier | 2020
    Apply extreme learning machine to prediction and estimation problems in aircraft operations ...
    Schlagwörter: Extreme learning machine , Machine learning

    Predicting weather-induced delays of high-speed rail and aviation in China

    Chen, Zhenhua / Wang, Yuxuan / Zhou, Lei | Elsevier | 2020
    to predict the performance of weather-induced delays of different transportation systems, including HSR and aviation. By applying machine ...
    Schlagwörter: Extreme weather event , Machine learning

    Predicting vacant parking space availability: an SVR method with fruit fly optimisation

    Freier Zugriff
    Fan, Junkai / Hu, Qian / Tang, Zhenzhou | Wiley | 2018
    (NN), extreme learning machine and wavelet NN, are used as the comparison models. The experimental results show that the proposed FOA‐SVR ...
    Schlagwörter: extreme learning machine , learning (artificial intelligence)

      Predicting vacant parking space availability: an SVR method with fruit fly optimisation

      Freier Zugriff
      Fan, Junkai / Hu, Qian / Tang, Zhenzhou | IET | 2018
      (NN), extreme learning machine and wavelet NN, are used as the comparison models. The experimental results show that the proposed FOA-SVR ...
      Schlagwörter: learning (artificial intelligence) , extreme learning machine

    Power Quality Data Mining Using Hybrid Feature Extraction Technique

    Sivaramakrishnan, Vidhya / Mahadevan, Balaji / Vijayarajan, Kamaraj | Springer Verlag | 2023
    performed using Extreme Learning Machine (ELM). The effectiveness of the proposed approach is tested using wide spectrum of power quality ...
    Schlagwörter: Extreme learning machine

    Online Interval Type-2 Fuzzy Extreme Learning Machine Applied to 3D Path Following for Remotely Operated Underwater Vehicles

    Freier Zugriff
    Rubio-Solis, Adrian / Martinez Hernandez, Uriel / Nava-Balanzar, Luciano et al. | BASE | 2022
    location for collection by a vessel. In this paper, an Online Interval Type-2 Fuzzy Extreme Learning Machine (OIT2-FELM) is suggested to achieve a ...
    Schlagwörter: Extreme Learning Machine , Online interval type-2 fuzzy learning

    Modeling M(3000)F2 based on extreme learning machine

    Bai, Hongmei / Feng, Feng / Wang, Jian et al. | Elsevier | 2019
    Schlagwörter: Extreme learning machine