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Muhammad Rizwan Mughal
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Books and Theses
- 2014
- [b1]Muhammad Rizwan Mughal:
Onboard Communication Systems for Low Cost Small Satellites. Polytechnic University of Turin, Italy, 2014
Journal Articles
- 2022
- [j7]Bagus Adiwiluhung Riwanto, Petri Niemela, Hendrik Ehrpais, Andris Slavinskis, Muhammad Rizwan Mughal, Jaan Praks:
Particle Swarm Optimization for Magnetometer Calibration With Rotation Axis Fitting Using In-Orbit Data. IEEE Trans. Aerosp. Electron. Syst. 58(2): 1211-1223 (2022) - 2021
- [j6]Khawar Ashfaq Ahmed, Sarfraz Khan, Umair Bin Nisar, Muhammad Rizwan Mughal, Mahmood Sultan:
Machine seismic: an automatic approach for the identification of subsurface structural models. Soft Comput. 25(13): 8169-8176 (2021) - 2020
- [j5]Anwar Ali, Jijun Tong, Haider Ali, Muhammad Rizwan Mughal, Leonardo M. Reyneri:
A Detailed Thermal and Effective Induced Residual Spin Rate Analysis for LEO Small Satellites. IEEE Access 8: 146196-146207 (2020) - [j4]Anwar Ali, Haider Ali, Jijun Tong, Muhammad Rizwan Mughal, Saeed Ur Rehman:
Modular Design and Thermal Modeling Techniques for the Power Distribution Module (PDM) of a Micro Satellite. IEEE Access 8: 160723-160737 (2020) - [j3]Muhammad Rizwan Mughal, Hassan Ali, Anwar Ali, Jaan Praks, Leonardo M. Reyneri:
Optimized Design and Thermal Analysis of Printed Magnetorquer for Attitude Control of Reconfigurable Nanosatellites. IEEE Trans. Aerosp. Electron. Syst. 56(1): 736-747 (2020) - 2019
- [j2]Muhammad Rizwan Mughal, Anwar Ali, Jaan Praks, Leonardo M. Reyneri:
Intra-spacecraft optical communication solutions using discrete transceiver. Int. J. Satell. Commun. Netw. 37(6): 588-600 (2019) - 2015
- [j1]Anwar Ali, Muhammad Rizwan Mughal, Haider Ali, Leonardo M. Reyneri, Muhammad Naveed Aman:
Design, implementation, and thermal modeling of embedded reconfigurable magnetorquer system for nanosatellites. IEEE Trans. Aerosp. Electron. Syst. 51(4): 2669-2679 (2015)
Conference and Workshop Papers
- 2024
- [c1]Shahinza Manzoor, Muhammad Rizwan Mughal, Syed Ali Irtaza, Saif ul Islam, Jalil Boudjadar:
A Lightweight, Computation-Efficient CNN Framework for an Optimization-Driven Detection of Maize Crop Disease. ICSOFT 2024: 271-282
Coauthor Index
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last updated on 2024-10-07 21:13 CEST by the dblp team
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