Down Syndrome Early Prediction & Classification System Using Deep Learning
Mariam Safwat Shalaby 195421
Down Syndrome Early Prediction & Classification System Using Deep Learning DR\ Samer Ibrahim - Giza : MSA, 2022. - 68 P. - ENGINEERING DISTINGUISHED PROJECTS 2022 .
Faculty of Engineering - Department of Computer Systems Engineering
Direction of Arrival has been one of the most active fields for the past decades,
due to the increase of its usage in many fields in communication and networks, studies
and research have been conducted to utilize its hardware complexity. Some compressive
techniques were used to help in the desired outcome for the Directional of Arrival (DoA),
namely the Compressive sensing (CS) technique. This paper proposes a CS based DoA
using the Antenna array under the name of Compressive Arrays for Direction of Arrival
Estimation.
Arrival Estimation
GP 17 ENG 2022 Computer system
Down Syndrome Early Prediction & Classification System Using Deep Learning DR\ Samer Ibrahim - Giza : MSA, 2022. - 68 P. - ENGINEERING DISTINGUISHED PROJECTS 2022 .
Faculty of Engineering - Department of Computer Systems Engineering
Direction of Arrival has been one of the most active fields for the past decades,
due to the increase of its usage in many fields in communication and networks, studies
and research have been conducted to utilize its hardware complexity. Some compressive
techniques were used to help in the desired outcome for the Directional of Arrival (DoA),
namely the Compressive sensing (CS) technique. This paper proposes a CS based DoA
using the Antenna array under the name of Compressive Arrays for Direction of Arrival
Estimation.
Arrival Estimation
GP 17 ENG 2022 Computer system