We designed amnd implemened a datalogger to screen the road using camera and vibrations sensors. The collected data is used to train deep leargning models for defect road inspection model for automated defect inspection using a combination of image processing and deep learning models.
New Feature extraction method based on the Quantization-based position Weight Matrix (QuPWM) method designed explicitly for multiclass classification on biomedical signals.
Implement a data-driven control for smart aquaculture. The proposed approach will take advantage of the recent developments in computer vision technology to assess and inspect fish behavior and feedback information on fish behavior
We developed a Feature extraction method, called QuPWM, for epileptic spikes detection in MEG signals. This method is based on combining the position weight matrix (PWM) method with digital quantization.
New Feature extraction method based on the Quantization-based Semi-Classical Signal Analysis designed explicitly for epileptic spikes using Magnetoencephalography (MEG) signals.