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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 ...
    Keywords: Extreme rainfall

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

    Free access
    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 ...
    Keywords: learning (artificial intelligence) , weighted extreme learning machine

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

      Free access
      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 ...
      Keywords: weighted extreme learning machine , learning (artificial intelligence)

    Vehicle detection in driving simulation using extreme learning machine

    Zhu, Wentao / Miao, Jun / Hu, Jiangbi et al. | Tema Archive | 2014
    simulation platform in a virtual scene. In this paper, as the first step of final solution, the Extreme Learning Machine (ELM) has been used to ...
    Keywords: Support Vector Machine , extreme learning machine

    Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features

    Zeng, Yujun | Online Contents | 2017
    network, a novel traffic sign recognition approach called DP-KELM is proposed by using a kernel-based extreme learning machine (KELM) classifier ...
    Keywords: extreme learning machine

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

    Free access
    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 ...
    Keywords: Extreme Learning Machine

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

    Free access
    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 ...
    Keywords: 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 ...
    Keywords: 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 ...
    Keywords: 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 ...
    Keywords: Kernel extreme learning machine (KELM)

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

    Free access
    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 ...
    Keywords: deep learning , learning (artificial intelligence) , kernel extreme learning machine classifier

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

      Free access
      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 ...
      Keywords: 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
    Keywords: Extreme gradient boosting

    Second-hand vessel valuation: an extreme gradient boosting approach

    Adland, Roar / Jia, Haiying / Harvei, Hans Christian Olsen et al. | Taylor & Francis Verlag | 2023

    We investigate the efficacy of the Extreme Gradient boosting (XGBoost) machine learning technique in

     ...
    Keywords: extreme gradient boosting (XGBoost)

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

    Free access
    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 ...
    Keywords: 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 ...
    Keywords: 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 ...
    Keywords: Extreme learning machine

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

    Qiao, Tianyang / Hu, Chenxing / Yang, Ce | Elsevier | 2024
    Keywords: 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 ...
    Keywords: 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 ...
    Keywords: 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 ...
    Keywords: Extreme weather event , Machine learning

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

    Free access
    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 ...
    Keywords: learning (artificial intelligence) , extreme learning machine

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

      Free access
      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 ...
      Keywords: extreme learning machine , learning (artificial intelligence)

    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 ...
    Keywords: Extreme learning machine

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

    Free access
    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 ...
    Keywords: 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
    Keywords: Extreme learning machine

    Modeling irregular small bodies gravity field via extreme learning machines and Bayesian optimization

    Furfaro, Roberto / Barocco, Riccardo / Linares, Richard et al. | Elsevier | 2020
    predict the gravitational acceleration around irregular small bodies. More specifically, we employ Extreme Learning Machine (ELM) theories to ...
    Keywords: Extreme learning machine

    Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines

    Li, Bing / Xue, Shao-Kai / Fu, Yu-Hui et al. | Elsevier | 2024
    the loss of some critical information. To tackle this issue, a novel weighted kernel adaption extreme learning machine is proposed for cross ...
    Keywords: Transfer learning , Kernel extreme learning machine

    Inverse Kinematics Solution for Robot Manipulator based on Neural Network under Joint Subspace

    Free access
    Feng, Yin / Yao-nan, Wang / Yi-min, Yang | BASE | 2014
    algorithm called extreme learning machine (ELM) which randomly choose the input weights and analytically determines the output weights of the single ...
    Keywords: extreme learning machine

    Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation

    Grigorev, Artur / Mihaita, Adriana-Simona / Lee, Seunghyeon et al. | Elsevier | 2022
    novel bi-level machine learning framework enhanced with outlier removal and intra–extra joint optimisation for predicting the incident duration ...
    Keywords: Machine learning , Extreme-boosted decision-trees

    Improved adaptive control for wing rock via fuzzy neural network with randomly assigned fuzzy membership function parameters

    Rong, Hai-Jun / Han, Sai / Bai, Jian-Ming et al. | Elsevier | 2014
    the recently developed fuzzy-neural algorithm named online sequential fuzzy extreme learning machine (OS-Fuzzy-ELM) where the fuzzy membership ...
    Keywords: Online sequential fuzzy extreme learning machine

    Identifying factors associated with roadside work zone collisions using machine learning techniques

    Nasrollahzadeh, Amir A. / Sofi, Ardalan R. / Ravani, Bahram | Elsevier | 2021
    Keywords: Extreme gradient boosting

    Gully erosion susceptibility mapping and prioritization of gully-dominant sub-watersheds using machine learning algorithms: Evidence from the Silabati River (tropical river, India)

    Hasanuzzaman, Md / Pratim Adhikary, Partha / Kumar Shit, Pravat | Elsevier | 2023
    threats to agriculture, human safety, habitats, infrastructure, and soil integrity. Selecting the right machine learning model is vital for ...
    Keywords: Extreme Gradient Boost (XGBoost)

    Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method

    Mahmoodi, Kumars / Nowruzi, Hashem | Taylor & Francis Verlag | 2022
    onshore structures. In this paper, a new hybrid Natural Outlier Factor-Extreme Learning Machine (NOF-ELM) method is proposed to predict the ...
    Keywords: extreme waves , extreme learning machine

    Extreme Learning Machine Based Control of Grid Side Inverter for Wind Turbines

    Free access
    Fidan, Şehmus / Cebeci, Mehmet / Gündoğdu, Ahmet | BASE | 2019
    extreme learning machine based on single hidden layer feed forward artificial neural network is proposed to control the grid side converter. Since ...
    Keywords: extreme learning machines

    ELM-ANFIS Based Controller for Plug-In Electric Vehicle to Grid Integration

    Free access
    Kandasamy, Kalaiselvi / Perumal, Renuga / Velu, Suresh Kumar | BASE | 2018
    An Adaptive Neuro Fuzzy Inference System (ANFIS) based Extreme Learning Machine (ELM) theory is utilised in this research work. In ...
    Keywords: extreme learning machine

    Effect of Construction Work Zone on Rear-End Conflicts by Vehicle Type under Heterogeneous Traffic Conditions

    Bidkar, Omkar / Arkatkar, Shriniwas / Joshi, Gaurang et al. | ASCE | 2023
    extracted using a newly developed machine learning–based semiautomated trajectory extractor tool. The derived trajectory data from both sections ...
    Keywords: Generalized extreme value

    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
    probability prediction model of the structural static responses under temperature loads based on sparse Bayesian extreme learning machine (SBELM) is ...
    Keywords: sparse bayesian learning , extreme learning machine

    Chinese vehicle license plate recognition using kernel-based extreme learning machine with deep convolutional features

    Free access
    Yang, Yun / Li, Donghai / Duan, Zongtao | IET | 2017
    be trained using gradient descent-based methods, which often yields sub-optimal results. Extreme learning machines (ELMs) demonstrate ...
    Keywords: learning (artificial intelligence) , kernel-based extreme learning machine

      Chinese vehicle license plate recognition using kernel‐based extreme learning machine with deep convolutional features

      Free access
      Yang, Yun / Li, Donghai / Duan, Zongtao | Wiley | 2018
      be trained using gradient descent‐based methods, which often yields sub‐optimal results. Extreme learning machines (ELMs) demonstrate ...
      Keywords: kernel‐based extreme learning machine , learning (artificial intelligence)

    Battery state of health estimation with improved generalization using parallel layer extreme learning machine

    Free access
    Ezemobi E. / Tonoli A. / Silvagni M. | BASE | 2021
    vehicles. An approach for enhancing the generalization of SOH estimation using a parallel layer extreme learning machine (PL-ELM) algorithm is ...
    Keywords: Parallel layer extreme learning machine

    Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction

    Ban, Xiaojuan / Guo, Chong / Li, Guohui | Springer Verlag | 2016
    Neural Networks based algorithm called Extreme Learning Machine (ELM) (Huang and Siew in ICARCV, pp. 1029–1036, 2004, [4]) to design a real-time ...
    Keywords: Extreme learning machine

    A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis

    Khan, Waqar Ahmed / Chung, Sai-Ho / Eltoukhy, Abdelrahman E.E. et al. | Elsevier | 2023
    successful air traffic management and control. We propose a novel parallel-series model and novel adaptive bidirectional extreme learning machine (AB ...
    Keywords: Extreme learning machine , Imbalance learning

    An assessment of machine learning and data balancing techniques for evaluating downgrade truck crash severity prediction in Wyoming

    Free access
    Vincent Michael Ampadu / Muhammad Tahmidul Haq / Khaled Ksaibati | DOAJ | 2022
    This study involved the investigation of various machine learning methods, including four classification tree-based ML models, namely the ...
    Keywords: extreme gradient boosting tree

    An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction

    Nguyen, Son / Fu, Xiuju / Ogawa, Daichi et al. | Elsevier | 2023
    Keywords: Extreme gradient boosting , Machine learning

    An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

    Ma, Zhengjing / Mei, Gang / Cuomo, Salvatore | Elsevier | 2021
    . A machine learning method is employed to analyze contributing factors ...
    Keywords: Deep learning , Support Vector Machine , eXtreme Gradient Boosting

    Aircraft parameter estimation using ELM network

    Verma, Hari Om / Peyada, Naba Kumar | Emerald Group Publishing | 2020
    approximation using artificial neural networks. A novel single hidden layer feed-forward neural network (FFNN) known as extreme learning machine (ELM ...
    Keywords: Extreme learning machine

    A Global Non-roundness Detection Algorithm for Urban Rail Vehicle Wheels

    Zhou, Zhihui / Liu, Xinhai / Zhou, Yuanyuan et al. | Springer Verlag | 2020
    Keywords: Extreme learning machine

    Aerodynamic coefficients modeling using Levenberg–Marquardt algorithm and network

    Wang, Zhigang / Li, Aijun / Wang, Lihao et al. | Emerald Group Publishing | 2021
    . Neural network is trained by extreme learning machine, and the trained network can predict the aircraft response at (k + 1)th ...
    Keywords: Extreme learning machine