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researcher

M. Rashad

15 papers hereh-index 11481 citations53 works total

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

author position
  • middle author13
  • last author2

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.NE2
  • cs.NI2
  • cs.CL1
  • cs.CV1
  • cs.DC1
same name
  • M. Rashad — 15 papers, h 23
  • M. Rashad — 5 papers, h 6
  • M. Rashad — 2 papers, h 4
  • M. Rashad — 1 paper, h 1

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

activity
20112013
most citedIris Recognition Based on LBP and Combined LVQ Classifier

34 citations · 46 across the 15 of their papers we have counts for

collaborators
Showing 2013Show all

4 papers · 1 filter

cs.IR2013

Food Recommendation using Ontology and Heuristics

M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1

Recommender systems are needed to find food items of ones interest. We review recommender systems and recommendation methods. We propose a food personalization framework based on a…

cs.DC2013

Visualization of Job Scheduling in Grid Computers

M A Awad, M Z Rashad, M A Elsoud +1

One of the hot problems in grid computing is job scheduling. It is known that the job scheduling is NP-complete, and thus the use of heuristics is the de facto approach to deal wit…

cs.ET2013★ 2 cited

Q#, a quantum computation package for the .NET platform

A. S. Tolba, M. Z. Rashad, M. A. El-Dosuky

Quantum computing is a promising approach of computation that is based on equations from Quantum Mechanics. A simulator for quantum algorithms must be capable of performing heavy m…

cs.IT2013

Quantum-inspired Huffman Coding

A. S. Tolba, M. Z. Rashad, M. A. El-Dosuky

Huffman Compression, also known as Huffman Coding, is one of many compression techniques in use today. The two important features of Huffman coding are instantaneousness that is th…

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