All Stories

  1. Using Multiple Deep Neural Networks Platform to Detect Different Types of Potential Faults in Unmanned Aerial Vehicles

    Article • Journal of Aerospace Technology and Management, January 2021, FapUNIFESP (SciELO)

    Ahmad AlOS

  2. Using MLSTM and Multi-output Convolutional LSTM Algorithms for Detecting Anomalous Patterns in Streamed Data of Unmanned Aerial Vehicles

    Article • IEEE Aerospace and Electronic Systems Magazine, January 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Ahmad AlOS

  3. Decision tree matrix algorithm for detecting contextual faults in unmanned aerial vehicles

    Article • Journal of Intelligent & Fuzzy Systems, April 2020, IOS Press

    Ahmad AlOS

  4. Detecting Contextual Faults in Unmanned Aerial Vehicles Using Dynamic Linear Regression and K-Nearest Neighbour Classifier

    Article • Gyroscopy and Navigation, January 2020, Pleiades Publishing Ltd

    Ahmad AlOS

  5. A Novel Technique to Assess UAV Behavior Using PCA-based Anomaly Detection Algorithm

    Article • International Journal of Mechanical Engineering and Robotics Research, January 2020, EJournal Publishing

    Ahmad AlOS

  6. 3D UAV trajectory planning using evolutionary algorithms: A comparison study

    Article • The Aeronautical Journal, October 2015, Cambridge University Press

    Ahmad AlOS