Amira S. Ashour

Amira S. Ashour, an Asst. Professor and Vice Chair of Computer Engineering Department of in Computers and Information Technology College, Taif University, KSA. Vice Chair of Computers Science Department of in Computers and Information Technology College, Taif University, KSA during 2006 till 2015. She is a Lecturer of Electronics and Electrical Communications Engineering, Faculty of Engg., Tanta University, Egypt. She got her Ph.D. in Smart Antenna (2005) in the Electronics and Electrical Communications Engineering, Tanta University, Egypt. She had her master in "Enhancement of Electromagnetic Non-Destructive Evaluation Performance Using Advanced Signal Processing Techniques," Faculty of Engineering, Egypt, 2000. Her research interests include Image Processing, Medical Imaging, Smart Antenna and Adaptive Antenna Arrays.

Publications

Preface
Nilanjan Dey, Amira S. Ashour, Suvojit Acharjee. © 2017. 5 pages.
This Preface is included in the book Applied Video Processing in Surveillance and Monitoring Systems.
Preface
Nilanjan Dey, Amira S. Ashour, Prasenjit K. Patra. © 2017. 6 pages.
This Preface is included in the book Feature Detectors and Motion Detection in Video Processing.
Bag-of-Features in Microscopic Images Classification
Samsad Beagum, Amira S. Ashour, Nilanjan Dey. © 2017. 22 pages.
Microscopic image analysis plays a foremost role for understanding biological processes, diagnosis of diseases and cells/ tissues identification. Microscopic image classification...
Renewable Energy Management with a Multi-Agent System
Wahiba Ben Abdessalem, Sami Karaa, Amira S. Ashour. © 2017. 12 pages.
Renewable energy generation (Wind, solar …) is rising rapidly around the world. Energy storage is being today realistic with some kind of variable renewable electricity sources...
Web Semantics for Textual and Visual Information Retrieval
Aarti Singh, Nilanjan Dey, Amira S. Ashour, V. Santhi. © 2017. 290 pages.
Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more...
Bag-of-Features in Microscopic Images Classification
Samsad Beagum, Amira S. Ashour, Nilanjan Dey. © 2016. 22 pages.
Microscopic image analysis plays a foremost role for understanding biological processes, diagnosis of diseases and cells/ tissues identification. Microscopic image classification...