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Driver Drowsiness Detection Using Swin Transformer and Diffusion Models for Robust Image Denoising
Samy Abd El-Nabi;Ahmed F. Ibrahim;El-Sayed M. El-Rabaie;Osama F. Hassan;Naglaa F. Soliman;Khalil F. Ramadan;Walid El-Shafai
IEEE Access
Year: 2025 | Early Access Article |
With the rapid development of intelligent transportation systems and growing emphasis on driver safety, real-time detection of driver drowsiness has become a critical area of research. This study presents a robust and scalable driver drowsiness detection framework that integrates a Swin Transformer-based deep learning model with a diffusion model for image denoising. While conventional convolution...Show More
CLEAR-Net: A Cascaded Local and External Attention Network for Enhanced Dehazing of Remote Sensing Images
Anas M. Ali;El-Sayed M. El-Rabaie;Khalil F. Ramadan;Fathi E. Abd El-Samie;Walid El-Shafai
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2025 | Early Access Article |
Atmospheric haze degrades remote sensing images by obscuring critical details, diminishing data interpretation accuracy. This paper presents CLEAR-Net: Cascaded Local and External Attention Resource Network, a novel dehazing framework designed to enhance clarity and detail in remote sensing images. CLEAR-Net employs a two-block cascaded architecture to address both global and local haze effects. T...Show More
CBSB: Robust Cancelable Biometric System for Banks Using Deep Learning
Bassel Yasser Sayed;Amel Mohamed Mahmoud;El-Sayed El-Rabaie;Nariman Abdel-Salam Bauomy
2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Biometric authentication is a reliable and convenient technique for confirming a person's identity by analyzing their distinct physiological or behavioral traits. While biometric authentication offers several benefits compared to conventional methods, it confronts challenges related to privacy and security. To address these concerns, cancelable biometric systems (CBS) convert biometric data into n...Show More
RDIFR: Robust Digital Image Forgery Recognition System for Image Splicing Using Deep Learning
Ali Waleed Ali;Ibrahim Nezar Ahmed;Amel Mohamed Mahmoud;El-Sayed El-Rabaie;Nariman Abdel-Salam Bauomy
2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Image forgery is the deceptive alteration of digital images, involving techniques like adding, removing, or modifying elements within the image. It is done for purposes such as creating misleading photos or falsifying evidence. Recognizing image forgery is essential to maintaining the authenticity and reliability of images in various fields. Image splicing is a type of digital image forgery in whi...Show More
Improving DeepFake Video Detection Performance with a Noval Deep Learning Approach
2023 3rd International Conference on Electronic Engineering (ICEEM)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
With the rise in both the quantity and sophistication of deepfake videos, the need for robust detection systems to identify potentially misleading content on social media and the internet has become paramount. However, current automated face forgery detection systems still face limitations, often demonstrating bias towards the training dataset. This research paper addresses this issue by proposing...Show More
An Efficient Approach of Drowsiness Detection Based on ResNet50 and Xception Architectures
Samy Abd El-Nabi;El-Sayed M. El-Rabaie;Ahmed Emam;Khalil F. Ramadan
2023 3rd International Conference on Electronic Engineering (ICEEM)
Year: 2023 | Conference Paper |
This paper delves into a critical aspect of road safety by investigating a method to detect drowsiness in images. The accurate utilization of this technology by fatigued drivers holds the potential to prevent numerous fatal accidents, as the proposed models exhibit swift responsiveness in identifying instances of driver drowsiness. Within the realm of eye closure detection, two drowsiness models, ...Show More
Reinforcement of Medical Image Security Through Steganography and Encryption Techniques
Fatma Khallaf;Walid El-Shafai;El-Sayed M. El-Rabaie;Fathi E. Abd El-Samie
2023 3rd International Conference on Electronic Engineering (ICEEM)
Year: 2023 | Conference Paper |
Cited by: Papers (5)
Patients' data is stored in Electronic Health Records (EHRs) for confidentiality purposes. However, the insecure networks of hospitals and clinics puts patient information at risk. To address this ethical issue, secure communication is crucial. The Digital Imaging and Communications in Medicine (DICOM) standard governs the transmission of EHRs to maintain data integrity and confidentiality. This p...Show More
Comparison between the Performance in Si,Ge and GaAs Photodetector
Hagar Marouf;El-Sayed M. El-Rabaie;Ahmed Nabih Zaki Rashed;Khalil ElKhamisy
2023 3rd International Conference on Electronic Engineering (ICEEM)
Year: 2023 | Conference Paper |
In theory, the groove surface plasmon polaritons (SPPs) launcher that surrounds an unusual Silicon: Si, Germanium, or Gallium Arsenide: GaAs Pin photodetector can be exploited to increase the photocurrent of the detector. Constructive interference is created because of the alteration between the incident light that is Sili from above and the SPPs that are propagating towards the photodetector. The...Show More
Enhancing Dermoscopic Skin Cancer Detection via Hair Artifact Removal: An Iterative Diffusion Model Approach
Anas M. Ali;El-Sayed M. El-Rabaie;Khalil F. Ramadan;Fathi E. Abd El-Samie
2023 3rd International Conference on Electronic Engineering (ICEEM)
Year: 2023 | Conference Paper |
The elucidation and extrication of hair artifacts from dermoscopic images of potential skin malignancies emerged as a paramount technique in facilitating early skin cancer detection. Nevertheless, the prevailing literature lacks comprehensive exploration and study in this arena. The dearth of a benchmark dataset, coupled with the absence of an established device for early skin cancer detection, si...Show More
A Robust Technique for Steganography of Enhanced Audio Signals
Marwa A. Nasr;Walid El-Shafai;El-Sayed M. El-Rabaie;Adel S. El-Fishawy;Moawad I. Dessouky;Nariman Abdel-Salam;Fathi E. Abd El-Samie
2023 3rd International Conference on Electronic Engineering (ICEEM)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
Audio steganography is a tool for concealing data (a secret message) inside an audio signal (a carrier). It is regarded as an essential approach for information security. This paper presents a proposed technique for audio signal steganography, which is implemented in the wavelet domain, with a pre-processing enhancement step. First, adaptive Wiener filtering is implemented to reduce the noise on a...Show More
Background Material Effect on a Proposed Rectangular Photonic Crystal Fiber (R-PCF) Sensor Performance
2023 3rd International Conference on Electronic Engineering (ICEEM)
Year: 2023 | Conference Paper |
This paper presents a study of the effect of the background material on the performance of a proposed rectangular porous-core photon crystal fiber (R-PCF) sensor. The R-PCF sensor under investigation comprises 28 identical rectangles in the core and 6 rectangles within the cladding area. The study is introduced for frequencies between 0.5 and 1.5 THz, using various background materials such as fus...Show More
Breast cancer detection based on nanocavity photonic crystal, with a minimum detection limit and an exceptionally high-quality factor
Omar E. Khedr;El-Sayed M. El-Rabaie;Ashraf A. M. Khalaf;Nazmi A. Mohammed
2023 3rd International Conference on Electronic Engineering (ICEEM)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Early detection of breast cancer plays a critical role in the treatment of patients and has the potential to significantly improve survival rates. This research introduces a novel biomedical sensor based on a two-dimensional (2D) on-chip photonic crystal for breast cancer detection. The proposed sensor is designed, simulated, and evaluated, exhibiting exceptional performance compared to other phot...Show More
Review: Pencil-on-Paper Electronics Devices Applications / Challenges
2023 International Telecommunications Conference (ITC-Egypt)
Year: 2023 | Conference Paper |
In recent years, the usage of paper for electronic components has increased dramatically. Perhaps the simplest and most straightforward method for creating graphitic circuitry without the use of solvents is drawing with a pencil on paper; this approach has attracted a remarkable amount of interest in the years since the discovery of graphene. The latest attempts to integrate pencil drawings in the...Show More
Brain Tumor Classification Using Hybrid Single Image Super-Resolution Technique With ResNext101_32× 8d and VGG19 Pre-Trained Models
Saeed Mohsen;Anas M. Ali;El-Sayed M. El-Rabaie;Ahmed ElKaseer;Steffen G. Scholz;Ashraf Mohamed Ali Hassan
High-quality images acquired from medical devices can be utilized to aid diagnosis and detection of various diseases. However, such images can be very expensive to acquire and difficult to store, and the process of diagnosis can consume significant time. Automatic diagnosis based on artificial intelligence (AI) techniques can contribute significantly to overcoming the cost and time issues. Pre-tra...Show More
An Optimum Weighted Energy Efficiency Approach for Low Complexity Power Allocation in Downlink NOMA
Mohammed Abd-Elnaby;Germien G. Sedhom;El-Sayed M. El-Rabaie;Mohamed Elwekeil
Non-orthogonal multiple access (NOMA) has emerged as a significant technique for 5G wireless networks because it increases device connectivity, spectral efficiency, and energy efficiency. The advantages of the NOMA system rely on the employed resource allocation schemes, which include power allocation (PA) and subcarrier user assignment (SUA). Therefore, this paper concentrates on suggesting a PA ...Show More
Literature Review: On-Chip Photonic Crystals and Photonic Crystal Fiber for Biosensing and Some Novel Trends
Nazmi A. Mohammed;Omar E. Khedr;El-Sayed M. El-Rabaie;Ashraf A. M. Khalaf
This review summarizes recent advances in sensors based on photonic crystal technologies for biomedical sensing applications. Photonic crystal sensing offers enormous promise due to their clear benefits in sensitivity, stability, compactness, portability. This work discusses several photonic crystal structures, such as photonic crystal waveguides, cavities, and photonic crystal fiber for biomedica...Show More
A 4 GS/s 3-bit Highly Linear Time-Based Analog- to-Digital Converter for Massive MIMO Systems
Ahmed Lutfi Elgreatly;Ahmed Ahmed Shaaban;Hassan Mostafa;Rania Mohamed Abdalla;El-Sayed Mahmoud El-Rabaie
2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)
Year: 2021 | Conference Paper |
Recent studies on modern wireless communication systems are focusing on Massive Multiple- Input Multiple-Output (MIMO) technology for its high potential. MIMO systems require high resolution Analog-to- Digital Converters (ADCs) in the Base Stations (BS) to reduce quantization noise. However, using high resolution ADCs causes higher power consumption at the BS and the hardware costs increase. Reduc...Show More
The Effects of surface plasmon polariton on Silicon Thin Film Solar Cell Array
Khalil ElKhamisy;Hamdy Abdelhamid;Salah Elagooz;El-Sayed M. El-Rabaie
2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)
Year: 2021 | Conference Paper |
In this paper, we investigate the impact of surface plasmon polariton on the entire array of silicon thin-film solar cells. The electromagnetic and semiconductor models are used to investigate the optical and electrical properties of thin-film solar cells, respectively. This study is introduced by using the 3D Multiphysics simulator. A 14.76% efficiency is achieved for triangle’ SPPs of 1.07% impr...Show More
An Efficient Algorithm for Cancelable Biometric Recognition Based on Noise Magnification
Abd El-Rahman Farouk Al-Libady;Huda Ashiba;Ghada M. El Banby;Adel S. El-Fishawy;Moawad I. Dessouky;Fathi E. Abd El-Samie;El-Sayed M. El-Rabaie
2021 International Conference on Electronic Engineering (ICEEM)
Year: 2021 | Conference Paper |
More recently, biometric systems have spread for modern security applications. Unfortunately, these systems have experienced several attempts of hacking. If biometric databases are compromised and stolen, biometrics in these databases will be lost forever. Consequently, there is an immediate need to introduce new upgradable biometric systems. The concept behind cancelable biometrics is to convert ...Show More
Performance Analysis of Adaptive Channel Estimation for Wireless Optical Communication Systems
Lamiaa A. Abd-Elgawad;Ibrahim Eldokany;El-Sayed M. El-Rabaie;Yara Abd-Elazim;G.S.M. Elabyad;Moawad I. Dessouky;Gamal A. Hussein;Abdel Aziz T. Shalaby;Fathi E. Abd El-Samie
2021 International Conference on Electronic Engineering (ICEEM)
Year: 2021 | Conference Paper |
Maintaining the efficiency of Optical Wireless Communication (OWC) systems with channel equalization is a curial problem. In this paper, different adaptive channel estimation algorithms are studied to allow optical wireless channel equalization. The adaptive channel estimation algorithms considered are standard Least Mean Square (LMS) and LMS with Activity Detection Guidance (ADG) and Tap Decoupli...Show More
A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions
Osama S. Faragallah;Heba El-Hoseny;Walid El-Shafai;Wael Abd El-Rahman;Hala S. El-Sayed;El-Sayed M. El-Rabaie;Fathi E. Abd El-Samie;Gamal G. N. Geweid
The track of medical imaging has witnessed several advancements in the last years. Several medical imaging modalities have appeared in the last decades including X-ray, Computed Tomography (CT), Magnetic Resonance (MR), Positron Emission Tomography (PET), Single-Photon Emission Computed Tomography (SPECT) and ultrasound imaging. Generally, medical images are used for the diagnosis purpose. Each ty...Show More
All-Optical D-Flip Flop with Multi-Wavelength Operation Based on Photonic Crystal
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
In this paper a new structure for D-flip flop based on photonic crystal is simulated and evaluated. Its operation depends on the optical interference effect. It is arranged on a two-dimension linear-square lattice format with one ring resonator. The enhancement process is applied to decrease the reflection to the input ports and to achieve the best contrast ratio together with high bit rate and mu...Show More
Ultra-High Bit Rate All-Optical Half Subtractor Based on Photonic Crystal
2019 36th National Radio Science Conference (NRSC)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
An innovative two-dimensional photonic crystal based all-optical Half Subtractor was constructed, simulated and evaluated. It was arranged on a linear square lattice photonic crystal platform. An ultra-compact, simple design occupying an area of 128.52 μm2 was constructed. The suggested design includes one ring resonator with cylindrical silicon rods organized in an air background. Phase shifter u...Show More
Adaptive Soft Thresholding Based Energy Efficient Sensor Protocol for Wireless Sensor Networks
Rania A. Ahmed;Zeinab A. Ahmed;Mohammed Abd-Elnaby;EL-Sayed M. El-Rabaie;Fathi E. Abd El-Samie
2019 36th National Radio Science Conference (NRSC)
Year: 2019 | Conference Paper |
Wireless sensor networks (WSNs) are densely deployed for monitoring of environments and physical conditions in an extensive range of applications. Network lifetime and energy consumption are the primary performance evaluation metrics for WSNs. In this paper, an adaptive soft thresholding-based energy efficient sensor network (ASTEEN) protocol is proposed to increase the network lifetime by reducin...Show More
Improving the Performance of the Digital Predistorter Based on Sample Reuse- Rls Algorithm
2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
In this paper, a modification is introduced over the conventional recursive least square (RLS) algorithm for designing adaptive digital predistorter (DPD). The modification is performed using a sample reuse technique to raise the performance of the DPD even when using small number of samples. The designed DPD based on the new algorithm reduces the nonlinearity and memory effect problems of power a...Show More
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