9 citations · 23 across the 17 of their papers we have counts for
17 papers
Human-AI interaction: An emerging interdisciplinary domain for enabling human-centered AI
Wei Xu, Liezhong Ge, Zaifeng Gao
The new characteristics of AI technology have brought new challenges to the research and development of AI systems. AI technology has benefited humans, but if improperly developed,…
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…