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Disambiguation of "Nauman, Mohammad"

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Using PersonalizedWeb Search for Enhancing Common Sense and Folksonomy Based Intelligent Search Systems.

, and . Web Intelligence, page 423-426. IEEE Computer Society, (2007)

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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.

Mohammad-Nauman Khan

Mohammad Mohammad

Mohammad Sadeghi

Metallogenic modeling and mineral potential mapping in the Takab district, NW Iran. Uni Halle-Wittenberg, (2009)

Mohammad Reza Mohammad Khorasani

Mohammad Mohammady

 

Other publications of authors with the same name

Beyond Homology Transfer: Deep Learning for Automated Annotation of Proteins., , , and . J. Grid Comput., 17 (2): 225-237 (2019)Using trusted computing for privacy preserving keystroke-based authentication in smartphones., , and . Telecommun. Syst., 52 (4): 2149-2161 (2013)Deep neural architectures for large scale android malware analysis., , , and . Clust. Comput., 21 (1): 569-588 (2018)Trust in IoT: dynamic remote attestation through efficient behavior capture., , and . Clust. Comput., 21 (1): 409-421 (2018)Gene Ontology Capsule GAN: an improved architecture for protein function prediction., , , and . PeerJ Comput. Sci., (2022)Beyond Kernel-Level Integrity Measurement: Enabling Remote Attestation for the Android Platform., , , and . TRUST, volume 6101 of Lecture Notes in Computer Science, page 1-15. Springer, (2010)On Leveraging Stochastic Models for Remote Attestation., , and . INTRUST, volume 6802 of Lecture Notes in Computer Science, page 290-301. Springer, (2010)TOKEN: Trustable Keystroke-Based Authentication for Web-Based Applications on Smartphones., and . ISA, volume 76 of Communications in Computer and Information Science, page 286-297. Springer, (2010)A three-way decision making approach to malware analysis using probabilistic rough sets., , and . Inf. Sci., (2016)DeepMoney: counterfeit money detection using generative adversarial networks., , , , , and . PeerJ Comput. Sci., (2019)