Optimized bases compressive spectrum sensing for wideband cognitive radio. - Mohammed Farrag; Mostafa El-Khamy; Mohamed El-Sharkawy 001 (PIMRC, 2011)

A blindly optimized compressive sensing receiver for cognitive radio. - Mohammed Farrag; Mostafa El-Khamy; Mohamed El-Sharkawy 001 (ICCE, 2012)

Wide-Band Cooperative Compressive Spectrum Sensing for Cognitive Radio Systems Using Distributed Sensing Matrix. - Mohammed Farrag; Osamu Muta; Mostafa El-Khamy; Hiroshi Furukawa; Mohamed El-Sharkawy 001 (VTC Fall, 2014)

An energy consumption model for wireless sensor networks. - Mohammed Abo-Zahhad 001; Mohammed Farrag; Abdelhay Ali; Osama Amin (ICEAC, 2015)

Modeling and minimization of energy consumption in wireless sensor networks. - Mohammed Abo-Zahhad 001; Mohammed Farrag; Abdelhay Ali (ICECS, 2015)

Heart-ID: human identity recognition using heart sounds based on modifying mel-frequency cepstral features. - Sherif N. Abbas 001; Mohammed Abo-Zahhad 001; Sabah M. Ahmed; Mohammed Farrag (IET Biom., 2016)

A comparative approach between cepstral features for human authentication using heart sounds. - Mohammed Abo-Zahhad 001; Mohammed Farrag; Sherif N. Abbas 001; Sabah M. Ahmed (Signal Image Video Process., 2016)

Optimization of Transmitted Power and Modulation Level for Minimizing Energy Consumption in Wireless Sensor Networks. - Mohammed Abo-Zahhad 001; Mohammed Farrag; Abdelhay Ali (Wirel. Pers. Commun., 2017)

Secure differential compressive spectrum sensing with 1-bit quantisation. - Mohammed Farrag (IET Commun., 2019)

Load Balancing Scheme in Hybrid WiGig/LiFi Network. - Mohammed Farrag; Mohammed Zubair M. Shamim; Mohammed Usman; Hany S. Hussein (IEEE Access, 2020)

Fully Quadrature Subcarrier-Index Shift Keying for Efficient Underwater Acoustic Communications. - Hany S. Hussein; Turki M. Alanazi; Mohammed Zubair M. Shamim; Mohammed Sayeeduddin Habeeb; Mohammed Usman; Mohammed Farrag (IEEE Access, 2021)

Automated Detection of Oral Pre-Cancerous Tongue Lesions Using Deep Learning for Early Diagnosis of Oral Cavity Cancer. - Mohammed Zubair M. Shamim; Sadatullah Syed; Mohammad Shiblee; Mohammed Usman; Syed Jaffar Ali; Hany S. Hussein; Mohammed Farrag (Comput. J., 2022)

Diagnostic Accuracy of Smartphone-Connected Electrophysiological Biosensors for Prediction of Blood Glucose Level in a Type-2 Diabetic Patient Using Machine Learning: A Pilot Study. - Mohammed Zubair M. Shamim; Sattam Alotaibi; Hany S. Hussein; Mohammed Farrag; Mohammad Shiblee (IEEE Embed. Syst. Lett., 2022)

Most-Correlated Distribution-Based Load Balancing Scheme in Hybrid LiFi/WiGig Network. - Mohammed Farrag; Hany S. Hussein (IEEE Access, 2023)

OFDM With Double Quadrature Signed Index Shift Keying. - Hany S. Hussein; Mohammed Farrag (IEEE Access, 2023)

Transmission and Distribution Smart Grid System Based on Self-Hailing Controllable Crowbar. - Mohamed A. Ismeil; Hany S. Hussein; Mohammed Farrag; M. Nasrallah (IEEE Access, 2023)

Solar PV Power Estimation and Upscaling Forecast Using Different Artificial Neural Networks Types: Assessment, Validation, and Comparison. - Abdel-Nasser Sharkawy; Mustafa M. Ali; Hossam H. H. Mousa; Ahmed S. Ali; Gamal T. Abdel-Jaber; Hany S. Hussein; Mohammed Farrag; Mohamed A. Ismeil (IEEE Access, 2023)

Conditional Most-Correlated Distribution-Based Load-Balancing Scheme for Hybrid LiFi/WiGig Network. - Mohammed Farrag; Abdulrahman Al Ayidh; Hany S. Hussein (Sensors, 2024)