Retaj Yousri received her B.Sc. degree in biomedical engineering from Helwan University, Cairo, Egypt, in 2020. She is currently pursuing an M.Sc. degree in micro-electronics system design with the School of Engineering and Applied Sciences, Nile University, Giza, Egypt. She is currently working as a Research Assistant at Wireless Intelligent Networks Center (WINC), Nile University. Her research interests include signal processing, image processing, computer vision, optimization, and neuroscience.
- Best paper award titled "Patient-Specific Epileptic Seizures Prediction based on Support Vector Machine" at the 32nd International Conference on Microelectronics (ICM).
A Deep Learning-Based Benchmarking Framework for Lane Segmentation in the Complex and Dynamic Road Scenes
A Novel Power-Aware Task Scheduling for Energy Harvesting-Based Wearable Biomedical Devices Using FPA
Power management and saving in energy harvesting-based biomedical wearable devices are mandatory to ensure prolonged and stable operation under a stringent power budget. Thus, power-aware task scheduling can play a key role in minimizing energy consumption to improve system durability while maintaining device functionality. This paper proposes a novel biosensor task scheduling for optimizing
A Preprocessing Approach to Improve the Performance of Inception v3-based Face Shape Classification
Face shape classification is considered one of the trending topics in the artificial intelligence research field. Face shape classification can be employed in many broad-scoped projects, such as hairstyle recommendation systems in the beauty and fashion industry. In this paper, the inception v3 model was employed to reach the highest possible performance for classifying the different face shapes
- Signal Processing
- Image Processing
- Computer Vision
- Optimization and Neuroscience