His main research concerns Inertial navigation system, Global Positioning System, Kalman filter, GPS/INS and Inertial measurement unit. His Inertial navigation system research includes themes of Control theory, Control engineering, Autoregressive model, GPS signals and Algorithm. The various areas that Aboelmagd Noureldin examines in his Global Positioning System study include Artificial neural network, Navigation system, Artificial intelligence and Computer vision.
His research integrates issues of Gyroscope, Dead reckoning and Simulation in his study of Kalman filter. His GPS/INS study combines topics in areas such as Real-time computing, Adaptive neuro fuzzy inference system and Sensor fusion. His Inertial measurement unit research includes elements of Extended Kalman filter, Calibration, Speech recognition, Noise and Electronic engineering.
Aboelmagd Noureldin mostly deals with Global Positioning System, Real-time computing, Inertial navigation system, Inertial measurement unit and Kalman filter. His Global Positioning System research incorporates themes from Simulation and Navigation system. His Real-time computing research integrates issues from Wireless, GNSS applications, Multipath propagation, Electronic engineering and Robustness.
His work carried out in the field of Inertial navigation system brings together such families of science as Control theory, Artificial neural network, Control engineering, Satellite navigation and Sensor fusion. Aboelmagd Noureldin has included themes like Gyroscope, Odometer and Extended Kalman filter in his Inertial measurement unit study. The Kalman filter study combines topics in areas such as Observability, Adaptive neuro fuzzy inference system and Noise.
His primary areas of investigation include Real-time computing, GNSS applications, Global Positioning System, Inertial measurement unit and Inertial navigation system. The concepts of his Real-time computing study are interwoven with issues in Radar, Odometer and Network packet. His GNSS applications study integrates concerns from other disciplines, such as Positioning system, Multipath propagation and Navigation system.
His biological study spans a wide range of topics, including Signal, Road surface and Robustness. His Inertial measurement unit study combines topics from a wide range of disciplines, such as Azimuth, Gyroscope, Pseudorange, Kalman filter and Wavelet transform. His work is dedicated to discovering how Inertial navigation system, Extended Kalman filter are connected with Control engineering, Linearization and Nonlinear system and other disciplines.
His primary scientific interests are in GNSS applications, Real-time computing, Inertial navigation system, Inertial measurement unit and Global Positioning System. His research in GNSS applications intersects with topics in Heading and Remote sensing. He focuses mostly in the field of Real-time computing, narrowing it down to topics relating to Network packet and, in certain cases, Traffic congestion, Information system and Intelligent sensor.
Inertial navigation system is closely attributed to Satellite system in his study. His study in Inertial measurement unit is interdisciplinary in nature, drawing from both Kalman filter, Intelligent transportation system and Multipath propagation. His studies in Global Positioning System integrate themes in fields like Navigation system, Extended Kalman filter and Road surface.
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Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integration
Aboelmagd Noureldin;Tashfeen B. Karamat;Jacques Georgy.
Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications
A. Noureldin;T.B. Karamat;M.D. Eberts;A. El-Shafie.
IEEE Transactions on Vehicular Technology (2009)
Wavelet Transform for Structural Health Monitoring: A Compendium of Uses and Features:
M. M. Reda Taha;A. Noureldin;J. L. Lucero;T. J. Baca.
Structural Health Monitoring-an International Journal (2006)
MEMS-Based Integrated Navigation
Priyanka Aggarwal;Zainab Syed;Aboelmagd Noureldin;Naser El-Sheimy.
GPS/INS integration utilizing dynamic neural networks for vehicular navigation
Aboelmagd Noureldin;Ahmed El-Shafie;Mohamed Bayoumi.
Information Fusion (2011)
A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam
Ahmed El-Shafie;Mahmoud Reda Taha;Aboelmagd Noureldin.
Water Resources Management (2007)
Wavelet de-noising for IMU alignment
N. El-Sheimy;S. Nassar;A. Noureldin.
IEEE Aerospace and Electronic Systems Magazine (2004)
Modeling the Stochastic Drift of a MEMS-Based Gyroscope in Gyro/Odometer/GPS Integrated Navigation
Jacques Georgy;Aboelmagd Noureldin;Michael J Korenberg;Mohamed M Bayoumi.
IEEE Transactions on Intelligent Transportation Systems (2010)
Low-Cost Three-Dimensional Navigation Solution for RISS/GPS Integration Using Mixture Particle Filter
J. Georgy;A. Noureldin;M.J. Korenberg;M.M. Bayoumi.
IEEE Transactions on Vehicular Technology (2010)
Online INS/GPS integration with a radial basis function neural network
R. Sharaf;A. Noureldin;A. Osman;N. El-Sheimy.
IEEE Aerospace and Electronic Systems Magazine (2005)
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