Browsing by Author "5f2ae635-b143-44c4-9cc1-ed73653b002a"
Now showing items 1-20 of 21
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Combining Saliency with Prediction for Endoscopic Diagnosis
Rezk, Mahmoud (2020-05)Healthcare sector has advanced tremendously in the past few years. With the advancement in technology, many image diagnostic techniques have been introduced to help doctors in identifying diseases and abnormalities inside ... -
Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks
Gacem, Mohamed Ait (2021-11) -
Detecting Mental Stress using EEG and Deep Learning
Badr, Yara (2023-04) -
Discrimination between genuine and acted expressions using EEG signals and machine learning
Alex, Meera (2019-04)The main purpose of this thesis work was to quantify happiness in an objective manner. This is in line with the objectives of the National Program for Happiness and Positivity in the UAE. The major contribution to this ... -
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
Moussa, Mostafa Mohamed (2020-04)Genuineness of smiles is one aspect of the field of deception recognition, one that is prevalent in myriad social situations, and it is not easy to tell when a person’s smile is genuine or not for the average person. Machine ... -
Drone Based Outdoor Insulator Inspection
Waleed, Danial (2019-04)Over the past few decades, interest in unmanned aerial vehicles (UAVs) and in particular quadcopters has increased due to the wide range of possible research applications that can benefit from the use of quadcopters. ... -
Face Flow: Constrained Optical Flow Framework for Faces
Alkaddour, Muhannad (2020-05)In computer vision, models and methods for facial expression recognition are continually in development. Several models aim to describe the highly complex structure of different faces, which in turn allows researchers to ... -
Functional Connectivity Analysis under Vigilance Decrement and Enhanced Mental States
Hassanin, Omnia (2020-06)This thesis proposes electroencephalogram (EEG) functional connectivity and graph theory analysis (GTA) to quantify brain activity under alertness, vigilance decrement, and enhanced mental states in four frequency bands. ... -
Machine Learning Based Real-Time Earthquake Signal Prediction
Tellab, Sara (2020-11) -
Neural network based predistortion of radio frequency power amplifiers
Ali, Anfal Alsayed (2021-04)Over the last few decades, researchers have been able to successfully use neural networks for behavioral modeling and predistortion of power amplifiers. When used as predistorters, neural networks offer favorable results ... -
Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks
Alawar, Mohammad Suhail Abdulwahid Abdulrahman (2019-12)Transportation authorities are faced with the challenge of detecting contraband items, particularly firearms. In most cases, security personnel can reliably perform this task. However, these tasks require strong focus, ... -
A Robotic System for Automatic Identification and Collection of Recyclable Plastic Bottles
Din, Uzma Ahmed (2020-05)Plastics have become a cornerstone of modern life, but they are also hazardous for the environment. Manually collecting and sorting such recyclable plastic waste from a mix of other refuse is tedious work, and has accompanying ... -
Scalable Behavioral Models and Predistorters for Broad Band Power Amplifiers
Ali, Asma Asim (2023-05)With the ever-changing improvements in the realm of telecommunication, power amplifiers (PAs), being an indispensable component, are required to adhere to very high demands. The technology behind manufacturing power ... -
Semi-supervised Clustering of Facial Expressions
Jalal, Ahsan (2017-11)Automated facial expressions recognition (FER) is an important area in computer vision and machine learning due to its eminent role in human-machine interaction. FER is key in building intelligent user interfaces, particularly ... -
Speed Estimation Using an Inertial Measurement Unit with Convolutional Neural Networks
Bachir, Zainab Raafat (2019-05) -
Stress Management Using Physiological Signals and Audio Stimulation
Katmah, Rateb Majd (2021-11)Stress has a significant role in the development of a wide variety of mental, psychological, emotional, behavioral, and physical illnesses. Additionally, there is substantial evidence in the literature that stress impairs ... -
Theft Detection Unit For Photo-Votaic Generation in Smart Grid Networks
Almadani, Nouf Ahmad (2020-05)While the increased connectivity of the power grid has allowed for the automation of its functionality, it has also led to a heightened vulnerability to cyber threats, putting the whole power system security at risk of ... -
Transformer Differential Protection using Deep Convolutional Neural Networks
Lutfi, Abdulla Eyad (2019-12) -
Vigilance Assessment Using EEG and Eye Tracking Data Fusion
Abu Farha, Nadia Khalil Mohammad (2021-04)Vigilance describes the ability to maintain alertness while performing a task for a prolonged time. Maintaining vigilance is one of the requirements in many workplaces, especially those that rely on monitoring, such as: ... -
Wearable Real-time Mental Stress Detector
Abdul Kader, Lamis (2022-11)