( en | de | ru )

 

Disambiguation of "Sabih, Muhammad"

Author of the publication

copydeleteadd this publication to your clipboard
A systematic metadata harvesting workflow for analysing scientific networks.

, , and . PeerJ Comput. Sci., (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sabih Alsohairy

Muhammad Muhammad

Muhammad Al Muhammad

Muhammad Muhammad Sulaim n

Muhammad Yousef

 

Other publications of authors with the same name

Fault-Tolerant Low-Precision DNNs using Explainable AI., , and . DSN Workshops, page 166-174. IEEE, (2021)Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks., , and . CoRR, (2020)Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text., and . IEEE Access, (2021)Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation., , and . IEEE Access, (2021)Experimental Investigations for Distributed Networked Control Systems., and . IEEE Syst. J., 8 (3): 717-725 (2014)Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter., , , and . IEEE Access, (2021)A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data., , , , and . Int. J. Distributed Sens. Networks, (2015)Clustering-Based Scenario-Aware LTE Grant Prediction., , , , and . WCNC, page 1-7. IEEE, (2020)Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods., , , , and . EuroMLSys@EuroSys, page 87-93. ACM, (2023)MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks., , , and . IGSC, page 1-8. IEEE, (2022)