A
Alaa Tharwat
Researcher at Frankfurt University of Applied Sciences
Publications - 67
Citations - 4503
Alaa Tharwat is an academic researcher from Frankfurt University of Applied Sciences. The author has contributed to research in topics: Support vector machine & Particle swarm optimization. The author has an hindex of 25, co-authored 65 publications receiving 2759 citations. Previous affiliations of Alaa Tharwat include Beni-Suef University & Suez Canal University.
Papers
More filters
Journal ArticleDOI
Classification assessment methods
TL;DR: A detailed overview of the classification assessment measures is introduced with the aim of providing the basics of these measures and to show how it works to serve as a comprehensive source for researchers who are interested in this field.
Journal ArticleDOI
Linear discriminant analysis: A detailed tutorial
TL;DR: A solid intuition is built for what is LDA, and how LDA works, thus enabling readers of all levels to get a better understanding of the LDA and to know how to apply this technique in different applications.
Journal ArticleDOI
Linear vs. quadratic discriminant analysis classifier: a tutorial
TL;DR: The aim of this paper is to collect in one place the basic background needed to understand the discriminant analysis (DA) classifier to make the reader of all levels be able to get a better understanding of the DA and to know how to apply this classifier in different applications.
Journal ArticleDOI
Bezier Curve Based Path Planning in a Dynamic Field using Modified Genetic Algorithm
TL;DR: An efficient, Bezier curve based approach for the path planning in a dynamic field using a Modified Genetic Algorithm (MGA), which aims to boost the diversity of the generated solutions of the standard GA which increases the exploration capabilities of the MGA.
Journal ArticleDOI
Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm
Alaa Tharwat,Alaa Tharwat,Mohamed Elhoseny,Mohamed Elhoseny,Aboul Ella Hassanien,Thomas Gabel,Arun Kumar +6 more
TL;DR: A novel Chaotic Particle Swarm Optimization (CPSO) algorithm has been proposed to optimize the control points of Bézier curve and it is proved that the proposed algorithm is capable of finding the optimal path.