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Your search keyword '"El Mahy, Mohamed"' showing total 13 results
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13 results on '"El Mahy, Mohamed"'

5. Effect of self-administered vaginal dinoprostone on pain perception during copper intrauterine device insertion in parous women: a randomized controlled trial

Author

Ashour, Ahmed SA, Nabil, Hala, Yosif, Mohamed F., Hussein, Mohamed, Mageed A. Allah, Ahmed A., Mahmoud, Mostafa, Abdou, Hossam, Kholaif, Khaled, Mohamed Kotb, Mohamed Mahmoud, El Sharkawy, Mohamed, Abdelhakim, Ahmed Mohamed, Ali, Ahmed Said, Nassar, Salma Ashraf, Abbassy, Amr Hazim, Ghamry, Nevein Kamal, Abdel-Latif, Ali Abdelhafeez, Taher, Ayman, and El Mahy, Mohamed

Published
2020
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6. Prophylactic vaginal dinoprostone administration six hours prior to copper-T380A intrauterine device insertion in nulliparous women: A randomized controlled trial

Author

Samy, Ahmed, Kasem, Mohamed Fikry Yosif, El Lithy, Ahmed, Ibrahim, Ahmed M, El Mahy, Mohamed, Hussein, Amr Hassan, A-Wahab, Hala, Hussien, Amal Hanafy, Allah, Ahmed A. Mageed A., El Din Wali, Ahmed Alaa, Soliman, Hossam H., Masoud, Ahmed Taher, Abdou, Hossam, Hussein, Mohamed, Abdella, Rana M., Mostafa, Mona, and Zaki, Sherif Sameh

Published
2020
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10. An investigation into Kalman filter target tracking algorithms and their real time parallel transputer implementation

Author

El-Mahy, Mohamed Kamel Sayed Ahmed

Subjects
629.135, Aircraft flight control & aircraft instrumentation
Abstract

This thesis reviews the applications of Kalman filtering estimation to the problem of target tracking. Both linear and nonlinear forms of Kalman filter are reviewed and models of target manoeuvre discussed. Manoeuvre adaptation schemes are examined to detect the onset and completion of manoeuvres. Target manoeuvre coordinates are also examined and a new target model proposed which significantly improves tracking performance. The new model includes turn rate estimation. The real-time implementation of tracking Kalman filters is also studied both for a simple processor and a multiple processor architecture. Tracking algorithms are coded in Parallel C and evaluated for speed and efficiency

Published
1994

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