9 citations · 23 across the 17 of their papers we have counts for
5 papers · 1 filter
CACO : Competitive Ant Colony Optimization, A Nature-Inspired Metaheuristic For Large-Scale Global Optimization
M. A. El-Dosuky
Large-scale problems are nonlinear problems that need metaheuristics, or global optimization algorithms. This paper reviews nature-inspired metaheuristics, then it introduces a fra…
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…
Veni Vidi Vici, A Three-Phase Scenario For Parameter Space Analysis in Image Analysis and Visualization
M. A. El-Dosuky
Automatic analysis of the enormous sets of images is a critical task in life sciences. This faces many challenges such as: algorithms are highly parameterized, significant human in…
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…
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…