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NPRP 4-1303-2- 517- Progress Report Number 5- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation"
(2015 , Report)This is a progress report for the project NPRP 4 - 1303 - 2 – 517- Progress Report Number 5- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation" -
NPRP 4-1303-2-517- Progress Report Number 6- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation"
(2016 , Report)This is a progress report on the project NPRP 4 - 1303 - 2 – 517- Progress Report Number 6- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation" -
NPRP 6-885-2-364 - Progress Report Number 5- "Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel time-frequency signal processing approach"
(2017 , Report)This is a progress report for the project NPRP 6 - 885 - 2 – 364 - Progress Report Number 5- Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel ... -
NPRP 6-885-2-364- Progress Report Number 4- "Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel time-frequency signal processing approach"
(2016 , Report)This is a project report on the project NPRP 6 - 885 - 2 – 364 - Progress Report Number 4- Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel ... -
RTDPCC-2017 II general chairs' welcome
( Association for Computing Machinery, Inc , 2017 , Report)It is a great pleasure and an honor to extend to you a warm welcome to the 3rd International Symposium on Real-time Data Processing for Cloud Computing (RTDPCC-2017 II), to be held on 5 – 8 December, 2017 in Austin, USA. ... -
Unleashing the secure potential of the wireless physical layer: Secret key generation methods
( Elsevier B.V. , 2016 , Report)Within the paradigm of physical layer security, a physical layer characteristic is used as a common source of randomness to generate the secret key. This key is then used to encrypt the data to hide information from ...
