"neural networks" - Selaus asiasanan mukaanArtikkelit

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    • Efficient System Identification of a Two-Wheeled Robot (TWR) Using Feed-Forward Neural Networks 

      Khan, Muhammad Aseer; Baig, Dur-e-Zehra; Ali, Husan; Ashraf, Bilal; Khan, Shahbaz; Wadood, Abdul; Kamal, Tariq (MDPI, 02.11.2022)
      article
      System identification of a Two-Wheeled Robot (TWR) through nonlinear dynamics is carried out in this paper using a data-driven approach. An Artificial Neural Network (ANN) is used as a kinematic estimator for predicting ...

    • Forecasting Crude Oil Prices using a Hybrid Model Combining Long Short-Term Memory Neural Networks and Markov Switching Model 

      Shahbazbegian, Vahid; Hosseininesaz, Hamid; Shafie-Khah, Miadreza; Elmusrati, Mohammed (IEEE, 19.07.2023)
      article
      Given the significant impact of crude oil prices on the global economy, accurately predicting their fluctuations is essential for effective decision-making in the energy sector. Therefore, this research aims to develop a ...

    • Improved EMD-Based Complex Prediction Model for Wind Power Forecasting 

      Abedinia, Oveis; Lotfi, Mohamed; Bagheri, Mehdi; Sobhani, Behrouz; Shafie-khah, Miadreza; Catalão, João P.S. (Institute of Electrical and Electronics Engineers, 28.02.2020)
      article
      As a response to rapidly increasing penetration of wind power generation in modern electric power grids, accurate prediction models are crucial to deal with the associated uncertainties. Due to the highly volatile and ...

    • Improving Precision GNSS Positioning and Navigation Accuracy on Smartphones using Machine Learning 

      Siemuri, Akpojoto; Selvan, Kannan; Kuusniemi, Heidi; Välisuo, Petri; Elmusrati, Mohammed S. (The Institute of Navigation, 2021)
      article
      In this work, we developed a precision positioning algorithm for multi-constellation dual-frequency global navigation satellite systems (GNSS) receivers that predicts the latitude and longitude from smartphone GNSS data. ...

    • Neural network-based vehicle image classification for IoT devices 

      Payvar, Saman; Khan, Mir; Stahl, Rafael; Mueller-Gritschneder, Daniel; Boutellier, Jani (IEEE, 05.03.2020)
      conferenceObject
      Convolutional Neural Networks (CNNs) have previously provided unforeseen results in automatic image analysis and interpretation, an area which has numerous applications in both consumer electronics and industry. However, ...