Výsledky vyhledávání - "Zubair, Shaik"

Akademický článek

The Compression of Fingerprints Using Sparse Representation.

Autor: Zubair, Shaik¹ szubair030@gmail.com, Mohammad, Khan², Mohiuddin, Mohammed Haziq², Ahmed, Mohammed Shoeb²

Publikováno v: Journal of Algebraic Statistics. 2022, Vol. 13 Issue 3, p2428-2433. 6p.

Periodical

Synthesis of Titanium Dioxide (TiO2) Nanoparticles by Sol-Gel Method and its Characterization

Autor: Gowtham Sanjai, S., Thejaraju, R., Pradhann, Sudharshan, Kumar, Ashutosh, Abdul Zubair, Shaik, Kathuria, Ranjan, Samuel, Leslie

Publikováno v: Materials Science Forum; December 2023, Vol. 1109 Issue: 1 p3-9, 7p

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Multi-Numerology Based Resource Allocation for Reducing Average Scheduling Latencies for 5G NR Wireless Networks

Autor: Andreas Mitschele-Thiel, Sharva Garg, Tanmoy Bag, Zubair Shaik

Publikováno v: EuCNC

The introduction of 5G New Radio (NR) promises flexibility and adaptability to cater a wide variety of services. One of the key ingredients for achieving such requirements is the employment of multiple numerologies. This versatility brings along with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54d1e4f358803db01e019087d41a7f8b
https://doi.org/10.1109/eucnc.2019.8802009

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Implementation aspects of hierarchical radio resource management scheme for overlay D2D

Autor: Jens Mueckenheimi, Dariush M. Soleymani, Mehdi Harounabadi, Zubair Shaik, Abubaker Matovu Waswa, Andreas Mitschele-Thiel

Publikováno v: ICUMT

Capacity, reliability and latency are key requirements of machine type communications (MTC) in future wireless networks. Device to device (D2D) communication is seen as a solution to fulfill these requirements for the aforementioned applications. To

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f0493bb0d77013834ad889e1b97e387c
https://doi.org/10.1109/icumt.2017.8255149

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Self-Optimization of Software Defined Radios through Evolutionary Algorithms

Autor: André Puschmann, Andreas Mitschele-Thiel, Zubair Shaik

Publikováno v: 2016 28th International Teletraffic Congress (ITC 28).

This paper presents a framework for building software-defined radios that are able to self-optimize their parameters using evolutionary algorithms. The framework has been implemented using the DEAP library for Python, which is based on the Genetic Al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::362f886ad1880a2f1f4a418864f6c70e
https://doi.org/10.1109/itc-28.2016.116

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