Ayman El‐Sayed
YOU?
Author Swipe
View article: Robust Federated-Learning-Based Classifier for Smart Grid Power Quality Disturbances
Robust Federated-Learning-Based Classifier for Smart Grid Power Quality Disturbances Open
The transition from traditional power systems to smart grids demands advanced methods for detecting and classifying Power Quality Disturbances (PQDs)—variations in voltage, current, or frequency that disrupt device performance. The rise of…
View article: Abstract 378: Diagnostic Accuracy of Artificial Intelligence for Intracranial Aneurysm Detection on CT Angiography: A Systematic Review and Meta‐Analysis of Prospective and Retrospective Studies.
Abstract 378: Diagnostic Accuracy of Artificial Intelligence for Intracranial Aneurysm Detection on CT Angiography: A Systematic Review and Meta‐Analysis of Prospective and Retrospective Studies. Open
Introduction Intracranial aneurysms (IAs) are a major cause of subarachnoid hemorrhage, with high morbidity and mortality if undiagnosed. Computed tomography angiography (CTA) remains the first‐line imaging modality, but interpretation is …
View article: Abstract 385: Beyond Detection: A Systematic Review of Machine Learning and Radiomics for Predicting Intracranial Aneurysm Rupture Risk
Abstract 385: Beyond Detection: A Systematic Review of Machine Learning and Radiomics for Predicting Intracranial Aneurysm Rupture Risk Open
Introduction While the majority of intracranial aneurysms (IAs) remain asymptomatic, rupture results in subarachnoid hemorrhage, a devastating event with high morbidity and mortality. Traditional rupture risk assessment relies on morpholog…
View article: Optimized Resource Allocation Algorithm for a Deadline-Aware IoT Healthcare Model
Optimized Resource Allocation Algorithm for a Deadline-Aware IoT Healthcare Model Open
In recent years, the healthcare market has grown very fast and is dealing with a huge increase in data. Healthcare applications are time-sensitive and need quick responses with fewer delays. Fog Computing (FC) was introduced to achieve thi…
View article: Screening of the Risk of Eating Disorders Among Medical Students in the MENA region and Its Associated Factors: A Multinational Cross‐Sectional Study
Screening of the Risk of Eating Disorders Among Medical Students in the MENA region and Its Associated Factors: A Multinational Cross‐Sectional Study Open
Background Eating disorders (EDs) are a group of mental diseases marked by disrupted eating behaviors, and are associated with several factors. Medical students are highly exposed to this mental disorder with a prevalence of 17.35% in 2022…
View article: Pre-surgical Embolization for Nasal Lobular Capillary Hemangioma: A Case Report
Pre-surgical Embolization for Nasal Lobular Capillary Hemangioma: A Case Report Open
Lobular capillary hemangioma (LCH), a benign vascular lesion, is rare in the nasal cavity but can cause significant symptoms such as epistaxis and nasal obstruction. Preoperative embolization is increasingly used to manage hypervascular na…
View article: Hybrid two-level protection system for preserving pre-trained DNN models ownership
Hybrid two-level protection system for preserving pre-trained DNN models ownership Open
Recent advancements in deep neural networks (DNNs) have made them indispensable for numerous commercial applications. These include healthcare systems and self-driving cars. Training DNN models typically demands substantial time, vast data…
View article: An Efficient IoT-based Crop Damage Prediction Framework in Smart Agricultural Systems
An Efficient IoT-based Crop Damage Prediction Framework in Smart Agricultural Systems Open
This study proposes an intelligent IoT-based framework for forecasting crop damage in smart agricultural systems. Integrating smart farming with machine learning (ML) to comprehend the complex relationships in agriculture requires access t…
View article: Enhancing Federated Learning Security, Scalability, and Future Incentives
Enhancing Federated Learning Security, Scalability, and Future Incentives Open
This study delves into the integration of Storj and blockchain technology within the context of federated learning (FL) and its implications for scalability and efficiency. By leveraging blockchain, we aimed to bolster security and transpa…
View article: Optimized Resource Allocation Algorithm for IoT Healthcare Model with Deadline Aware
Optimized Resource Allocation Algorithm for IoT Healthcare Model with Deadline Aware Open
In recent years, healthcare market is growing very fast and dealing with huge amount of data. Healthcare applications are time sensitive which needs quick responses with lesser delays. For this aim, fog computing (FC) was introduced. It ca…
View article: Arrhythmia Detection by Using Chaos Theory with Machine Learning Algorithms
Arrhythmia Detection by Using Chaos Theory with Machine Learning Algorithms Open
Heart monitoring improves life quality.Electrocardiograms (ECGs or EKGs) detect heart irregularities.Machine learning algorithms can create a few ECG diagnosis processing methods.The first method uses raw ECG and time-series data.The secon…
View article: Enhancing Communication and Comprehension for Individuals with Special Needs through Federated Learning: A Deep Learning Approach
Enhancing Communication and Comprehension for Individuals with Special Needs through Federated Learning: A Deep Learning Approach Open
Individuals with special needs most of the time find it harder to identify hazards and dangers as well as circumstances that are socially challenging. Hence, they face the risk of falling victim to abuse and violence. In this paper, the ma…
View article: An Efficient Fault Diagnosis Framework for Digital Twins Using Optimized Machine Learning Models in Smart Industrial Control Systems
An Efficient Fault Diagnosis Framework for Digital Twins Using Optimized Machine Learning Models in Smart Industrial Control Systems Open
In recent times, digital twins (DT) is becoming an emerging and key technology for smart industrial control systems and Industrial Internet of things (IIoT) applications. The DT presently supports a significant tool that can generate a hug…
View article: An Efficient Intrusion Detection Framework for Industrial Internet of Things Security
An Efficient Intrusion Detection Framework for Industrial Internet of Things Security Open
Recently, the Internet of Things (IoT) has been used in various applications such as manufacturing, transportation, agriculture, and healthcare that can enhance efficiency and productivity via an intelligent management console remotely. Wi…
View article: Automated Decision Technique for the Crowd Estimation Method Using Thermal Videos
Automated Decision Technique for the Crowd Estimation Method Using Thermal Videos Open
Counting and detecting the pedestrians is an important and critical aspect for several applications such as estimation of crowd density, organization of events, individual’s flow control, and surveillance systems to prevent the difficultie…
View article: An efficient CNN based epileptic seizures detection framework using encrypted EEG signals for secure telemedicine applications
An efficient CNN based epileptic seizures detection framework using encrypted EEG signals for secure telemedicine applications Open
Recently, the rapid development of Artificial Intelligence (AI) applied in the Medical Internet of Things (MIoT) for the diagnosis of diseases such as epilepsy based on the investigation of electroencephalography (EEG) signals. Thanks to A…
View article: An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture
An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture Open
In recent times, the Internet of Things (IoT) and Deep Learning Models (DLMs) can be utilized for developing smart agriculture to determine the exact location of the diseased part of the leaf on farmland in an efficient manner. There is no…
View article: Performance Enhancement of Fog Environment with Deadline Aware Resource Allocation Algorithm
Performance Enhancement of Fog Environment with Deadline Aware Resource Allocation Algorithm Open
Fog computing is a new computing paradigm that has been proposed to extend cloud computing services to the edges of cloud computing networks. It has been proposed to support real-time latency-sensitive applications. Due to the far distance…
View article: An Efficient Encryption and Compression of Sensed IoT Medical Images Using Auto-Encoder
An Efficient Encryption and Compression of Sensed IoT Medical Images Using Auto-Encoder Open
Healthcare systems nowadays depend on IoT sensors for sending data over the internet as a common practice. Encryption of medical images is very important to secure patient information. Encrypting these images consumes a lot of time on edge…