Speaker recognition to recognize multiethnic speakers is an interesting research topic. Various studies involving many ethnicities require the right approach achieve optimal model performance. The deep learning has been used in speaker classes high accuracy results with promising results. However, multi-class and imbalanced datasets are still obstacles encountered various using method which cau...

Introduction: The main drawback of a Brain-computer Interface based on Steady-State Visual Evoked Potential (SSVEP-BCI) that detects the emergence of visual evoked potentials (VEP) in reaction to flickering stimuli is its muscular dependence due to users must redirect their gaze to put the target stimulus in their field of view. In this work, a novel setup is evaluated in which two stimuli are ...

Humans cannot always be treated as oracles for collaborative sensing. Robots thus need to maintain beliefs over unknown world states when receiving semantic data from humans, well account possible discrepancies between human-provided and these beliefs. To this end, paper introduces the problem of association (SDA) in relation conventional problems sensor fusion. It then develops a novel probabi...

Probabilistic seismic demand analysis (PSDA) is known as one of the critical intermediate steps in performance-based earthquake engineering (PBEE) design framework. Accuracy PSDA influenced by various sources uncertainties and mostly that stemming from ground motion-related variabilities. By taking a representative reinforced concrete (RC) continuous girder bridge case study, twenty-eight commo...

Physicians and other health care workers have long struggled with decisions regarding care for patients at the end of life. An important component of this care involves assessing and understanding patient preferences for care through ongoing discussions with competent adult patients and/or their family members or surrogates. Advance care planning protects patient autonomy and helps to assure th...

‎There are different feature extraction methods in brain-computer interfaces (BCI) based on Steady-State Visually Evoked Potentials (SSVEP) systems‎. ‎This paper presents a comparison of five methods for stimulation frequency detection in SSVEP-based BCI systems‎. ‎The techniques are based on Power Spectrum Density Analysis (PSDA)‎, ‎Fast Fourier Transform (FFT)‎, ‎Hilbert‎- ‎Huang Transform (H...

This thesis describes an SSVEP-based BCI implemented as a practical part of this work. One possible usage of a BCI that efficiently implements a communication channel between the brain and an external device would be to help severely disabled people to control devices that currently require pushing buttons, for example an electric wheelchair. The BCI implemented as a part of this thesis uses wi...