Browsing Research Units by Subject "Deep Learning"
Now showing items 1-7 of 7
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Applied Internet of Things IoT: Car monitoring system for Modeling of Road Safety and Traffic System in the State of Qatar
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)One of the most interesting new approaches in the transportation research field is the Naturalistic Driver Behavior which is intended to provide insight into driver behavior during everyday trips by recording details about ... -
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
( Elsevier , 2023 , Article)Fetal heart monitoring and early disease detection using non-invasive fetal electrocardiograms (fECG) can help substantially to reduce infant death through improved diagnosis of Coronary Heart Disease (CHD) in the fetus. ... -
Fuzzy Identification-Based Encryption for healthcare user face authentication
( Hamad bin Khalifa University Press (HBKU Press) , 2022 , Article)Background: Internet of Medical Things (IOMT) has the potential to monitor health continuously and in real-time. One of the main issues that arise in IOMT is how securely the data can be transmitted to the clinical team. ... -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
( Elsevier , 2024 , Article)The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ... -
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
( Elsevier B.V. , 2018 , Conference Paper)Road crashes and related forms of accidents are a common cause of injury and death among the human population. According to 2015 data from the World Health Organization, road traffic injuries resulted in approximately 1.25 ... -
Towards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation
( Qatar University Young Scientists Center - Qatar University , 2024 , Conference Paper)Speech separation is very important in real-world applications such as human-machine interaction, hearing aids devices, and automatic meeting transcription. In recent years, a significant improvement occurred towards the ... -
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Qatar expects more than a million visitors during the 2022 World Cup, which will pose significant challenges. The high number of people will likely cause a rise in road traffic congestion, vehicle crashes, injuries and ...