Search Results - "Sarhan, Amany M."

Classification of Brain MRI Tumor Images Based on Deep Learning PGGAN Augmentation by Gab Allah, Ahmed M, Sarhan, Amany M, Elshennawy, Nada M

“…The wide prevalence of brain tumors in all age groups necessitates having the ability to make an early and accurate identification of the tumor type and thus…”
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Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers by Saif, Dina, Sarhan, Amany M., Elshennawy, Nada M.

“…Recent studies have proven that data analytics may assist in predicting events before they occur, which may impact the outcome of current situations. In the…”
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Deep-Risk: Deep Learning-Based Mortality Risk Predictive Models for COVID-19 by Elshennawy, Nada M, Ibrahim, Dina M, Sarhan, Amany M, Arafa, Mohamed

“…The SARS-CoV-2 virus has proliferated around the world and caused panic to all people as it claimed many lives. Since COVID-19 is highly contagious and spreads…”
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Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases by Ibrahim, Dina M., Elshennawy, Nada M., Sarhan, Amany M.

“…Corona Virus Disease (COVID-19) has been announced as a pandemic and is spreading rapidly throughout the world. Early detection of COVID-19 may protect many…”
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A modified Adam algorithm for deep neural network optimization by Reyad, Mohamed, Sarhan, Amany M., Arafa, M.

“…Deep Neural Networks (DNNs) are widely regarded as the most effective learning tool for dealing with large datasets, and they have been successfully used in…”
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Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information by M. Gab Allah, Ahmed, M. Sarhan, Amany, M. Elshennawy, Nada

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Architecture Optimization for Hybrid Deep Residual Networks in Liver Tumor Segmentation Using a GA by Reyad, Mohamed, Sarhan, Amany M., Arafa, M.

“…Nowadays, liver tumor segmentation has been widely applied for vital medical objectives such as illness diagnosis, treatment, and evaluation of liver function…”
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A Manta-Ray Hill Climbing Vision Transformer Model for Predicting Ischemic Stroke Outcome by Sarhan, Amany M., Saif, Dina, Elshennawy, Nada M.

“…An ischemic stroke attack can cause permanent damage to healthy brain tissue, leading to a permanent loss of motor or sensory function. It can also result in…”
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Development of an adaptive radial basis function neural network estimator-based continuous sliding mode control for uncertain nonlinear systems by Moawad, Nada M., Elawady, Wael M., Sarhan, Amany M.

“…In this paper an adaptive neural network (NN)-based nonlinear controller is proposed for trajectory tracking of uncertain nonlinear systems. The adopted…”
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Intelligent hybrid remote patient-monitoring model with cloud-based framework for knowledge discovery by Hassan, Mohammed K., El Desouky, Ali I., Elghamrawy, Sally M., Sarhan, Amany M.

“…•Intelligent Hybrid Context-Aware Model for Patients Under-Supervision in Home (IHCAM-PUSH) is proposed to monitor patients with chronic diseases in real-time…”
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LRTI: landmark ratios with task importance toward accurate age estimation using deep neural networks by Badr, Marwa M., Elbasiony, Reda M., Sarhan, Amany M.

“…Nowadays, age estimation systems have become a pressing need in several vital fields such as security services and health systems. Over the past decade, there…”
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Retraction Note: EoT-driven hybrid ambient assisted living framework with naïve Bayes–firefly algorithm by Hassan, Mohammed K., Desouky, Ali I. El, Badawy, Mahmoud M., Sarhan, Amany M., Elhoseny, Mohamed, Gunasekaran, M.

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Deep-kidney: an effective deep learning framework for chronic kidney disease prediction by Saif, Dina, Sarhan, Amany M., Elshennawy, Nada M.

“…Chronic kidney disease (CKD) is one of today’s most serious illnesses. Because this disease usually does not manifest itself until the kidney is severely…”
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ANFIS-based an adaptive continuous sliding-mode controller for robot manipulators in operational space by Asar, Mohammed F., Elawady, Wael M., Sarhan, Amany M.

“…This paper addresses the task-space robust trajectory tracking control problem for robot manipulators in the presence of uncertainties and external…”
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EoT-driven hybrid ambient assisted living framework with naïve Bayes–firefly algorithm by Hassan, Mohammed K, El Desouky, Ali I, Badawy, Mahmoud M, Sarhan, Amany M, Elhoseny, Mohamed, Gunasekaran, M

“…In the current decade, ambient assisted living is attracting widespread interest due to the rapidly aging global population. The cloud-based Internet of things…”
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OFCOD: On the Fly Clustering Based Outlier Detection Framework by Elmogy, Ahmed, Rizk, Hamada, Sarhan, Amany M.

“…In data mining, outlier detection is a major challenge as it has an important role in many applications such as medical data, image processing, fraud…”
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An optimized fuzzy continuous sliding mode controller combined with an adaptive proportional‐integral‐derivative control for uncertain systems by Elawady, Wael M., Lebda, Samar M., Sarhan, Amany M.

“…Summary This article discusses the design of a hybrid fuzzy variable structure control algorithm combined with genetic algorithm (GA) optimization technique to…”
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Multi-server searchable data crypt: searchable data encryption scheme for secure distributed cloud storage by Shahien, Toka, Sarhan, Amany M., Alshewimy, Mahmoud A. M.

“…This paper introduces a multi-server searchable symmetric encryption (SSE) scheme called the Multi-Server Searchable Data Crypt “MS-SDC” that works on…”
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Knee Osteoporosis Diagnosis Based on Deep Learning by Sarhan, Amany M., Gobara, Mohamed, Yasser, Shady, Elsayed, Zainab, Sherif, Ghada, Moataz, Nada, Yasir, Yasmen, Moustafa, Esraa, Ibrahim, Sara, Ali, Hesham A.

“…Osteoporosis, a silent yet debilitating disease, presents a significant challenge due to its asymptomatic nature until fractures occur. Rapid bone loss…”
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Chaos-based model for encryption and decryption of digital images by Elgendy, Fatma, Sarhan, Amany M., Eltobely, Tarek E., El-Zoghdy, S. F., El-sayed, Hala S., Faragallah, Osama S.

“…This paper introduces a secure chaos-based model for ciphering and deciphering of digital images. The proposed approach is composed of successive confusion and…”
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