R
Rizwan Akhtar
Researcher at Jiangsu University
Publications - 44
Citations - 834
Rizwan Akhtar is an academic researcher from Jiangsu University. The author has contributed to research in topics: Nanofluid & Heat transfer. The author has an hindex of 12, co-authored 44 publications receiving 496 citations. Previous affiliations of Rizwan Akhtar include COMSATS Institute of Information Technology & University of Electronic Science and Technology of China.
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Enhanced Privacy and Authentication: An Efficient and Secure Anonymous Communication for Location Based Service Using Asymmetric Cryptography Scheme
TL;DR: According to security analysis and performance, it can be proved that the proposed asymmetric cryptography scheme is able to improve wireless communication system security and enhance efficiency in comparison to previous schemes.
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Architecture of Hybrid Mobile Social Networks for Efficient Content Delivery
TL;DR: In this paper, the authors proposed a new scheme with distributed storage for efficient end-to-end content delivery in intermittently connected Mobile Social Networks (MSNs), which is able to offer fast and reliable delivery services by distributing buffer storage located close to mobile users of the opportunistic MSN.
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Numerical Treatment for the Three-Dimensional Eyring-Powell Fluid Flow over a Stretching Sheet with Velocity Slip and Activation Energy
Muhammad Umar,Muhammad Umar,Rizwan Akhtar,Zulqurnain Sabir,Hafiz Abdul Wahab,Zhu Zhiyu,Ali Imran,Muhammad Shoaib,Muhammad Asif Zahoor Raja +8 more
TL;DR: In this paper, a computational paradigm of technique shooting is exploited for investigation of the three-dimensional Eyring-Powell fluid with activation energy over a stretching sheet with slip arising in the field of fluid dynamics.
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Search me if you can: Multiple mix zones with location privacy protection for mapping services
TL;DR: Results show that MMLPP strikes a good balance between location privacy and service usability, as it enables mobile vehicle users to query a route between 2 endpoints on the map, without revealing any confidential location and queries information.
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Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies.
Syed Muhammad Usman,Syed Muhammad Usman,Shehzad Khalid,Shehzad Khalid,Rizwan Akhtar,Zuner A. Bortolotto,Zafar I. Bashir,Haiyang Qiu +7 more
TL;DR: A comparison of state-of-the-art methods used to predict seizures using both scalp and intracranial EEG signals are presented and improvements to existing methods are suggested.