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researcher

M. Imran

4 papers hereh-index 13770 citations50 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.CY1
  • cs.NI1
same name
  • M. Imran — 31 papers, h 57
  • M. Imran — 16 papers, h 31
  • M. Imran — 12 papers, h 16
  • M. Imran — 10 papers, h 7
  • M. Imran — 10 papers, h 2
  • M. Imran — 9 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHow 5G (and concomitant technologies) will revolutionize healthcare

3 citations · 4 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CR2019

Adversarial Machine Learning Attack on Modulation Classification

Muhammad Usama, Muhammad Asim, Junaid Qadir +2

Modulation classification is an important component of cognitive self-driving networks. Recently many ML-based modulation classification methods have been proposed. We have evaluat…

cs.CR2019

Adversarial ML Attack on Self Organizing Cellular Networks

Salah-ud-din Farooq, Muhammad Usama, Junaid Qadir +1

Deep Neural Networks (DNN) have been widely adopted in self-organizing networks (SON) for automating different networking tasks. Recently, it has been shown that DNN lack robustnes…

cs.CY2017★ 3 cited

How 5G (and concomitant technologies) will revolutionize healthcare

Siddique Latif, Junaid Qadir, Shahzad Farooq +1

In this paper, we build the case that 5G and concomitant emerging technologies (such as IoT, big data, artificial intelligence, and machine learning) will transform global healthca…

cs.NI2017★ 1 cited

Feasibility, Architecture and Cost Considerations of Using TVWS for Rural Internet Access in 5G

Mohsin Khalil, Junaid Qadir, Oluwakayode Onireti +2

The cellular technology is mostly an urban technology that has been unable to serve rural areas well. This is because the traditional cellular models are not economical for areas w…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.