T
Taha Elarif
Researcher at Ain Shams University
Publications - 13
Citations - 60
Taha Elarif is an academic researcher from Ain Shams University. The author has contributed to research in topics: Augmented reality & Visualization. The author has an hindex of 5, co-authored 12 publications receiving 42 citations.
Papers
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Book ChapterDOI
An Enhanced Histogram Matching Approach Using the Retinal Filter's Compression Function for Illumination Normalization in Face Recognition
TL;DR: A new illumination normalization approach based on enhancing the image resulting from the HM using the gamma correction and the Retinal filter's compression function, which proves its flexibility to different face recognition methods and the suitability for real-life systems in which perfect aligning of the face is not a simple task.
Journal ArticleDOI
Intelligent Techniques in Medical Volume Visualization
TL;DR: The recent intelligent techniques and algorithms used for medical data visualization cover filtering, segmentation, classification and visualization, and state-of-the art toolkits and software supporting medical volume visualization are presented.
Journal ArticleDOI
Validating (MNF) transform to determine the least inherent dimensionality of ASTER image data of some uranium localities at Central Eastern Desert, Egypt
TL;DR: In this paper, the validity of minimum noise fraction (MNF) components to improve the spectral separability of The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor image data of Terra satellite is investigated.
Decision Tree Analysis to Improve e-mail Marketing Campaigns
Hamzah Qabbaah,George Sammour,Koen Vanhoof,Albert N. Voronin,Yuriy Ziatdinov,Levon Aslanyan,Hasmik Sahakyan,Zeina Rayan,Marco Alfonse,Abdel-Badeeh M. Salem,Aleksandr P. Eremeev,Irina V. Tcapenko,Мiglena Temelkova,Loubna Ahmed,Doaa Hegazy,Salma Hamdy,Taha Elarif,Darina Dicheva,Keith Irwin,Christo Dichev,Donia Gamal,El-Sayed M. El-Horbaty,Volodymyr Romanov,Igor Galelyuka,Oleksandr Voronenko,Oleksandra Kovyrova,Sergei V. Dzyadevych,Ludmila Shkotova,Varun Gupta,Kanupriya Sharma,Mohit Singh Sangwan,Karlen Mkrchyan,Nuria Gómez Blas,Luis Fernando de Mingo López,Juan Castellanos Peñuela,Tatiana Kosovskaya,Karen Mkhitaryan,Josiane Mothe,Mariam Haroutunian,Dimiter Dobrev,Tea Munjishvili,Vitalii Velychko,Miglena Temelkova,Tetiana Konrad,Olena Grinenko,Sergiy Grinenko,Anastasiya Vecherkovskaya,Oleksandr Stryzhak,Viacheslav Horborukov,Vitalii Prykhodniuk,Oleg Franchuk,Oleksii Golovin,Andrii Honchar +52 more
TL;DR: In this article, the authors used decision tree analysis to predict customer loyalty and improve the response rate of e-mail campaigns, specifically open rate and click through rate, using decision trees such as CHAID, CART and QUIST.
Journal ArticleDOI
Integrated image processing and GIS-based techniques using knowledge-driven approaches to produce potential radioactivity map for the uraniferous granite of Egypt
TL;DR: In this paper, the authors propose a method for interpreting remote sensing data for allocating of lithologic units and for mapping of radioactive zones, which supplies a valuable utility to produce Potential Radioactivity Map for the uraniferous.