Amira A. Mahmoud

House price prediction using a hybrid GRU–MLP based on binary whale optimization algorithm and ant colony optimization for hyperparameter tuning

Sarah M. Alhammad, Yasser Fouad, Amira A. Mahmoud, Ahmed M. Osman et autres

Abstract Accurate house price prediction is essential for real estate valuation, investment planning, and intelligent property decision-support systems. This study proposes an optimized hybrid deep learning framework that integrates a Gated Recurrent Unit and Multilayer Perceptron model with the Binary Whale Optimization …

sa, Égypte (code pays fourni par la source)

Air quality prediction via hybrid BiGRU-MLP using binary ant colony optimization and firefly algorithm for hyperparameter tuning

Amira A. Mahmoud, Sarah M. Alhammad, Yasser Fouad, Ahmed M. Osman et autres

Air quality prediction is an important environmental task that supports pollution monitoring, public health protection, and sustainable urban decision-making. This study proposes a hybrid BiGRU-MLP prediction framework enhanced using Binary Ant Colony Optimization (BACO) for feature selection and the Firefly Algorithm (FA) …

Égypte, sa (code pays fourni par la source)

An experimental study on the consolidation of archaeological limestone used in Kosa Basha Fort, Alexandria, Egypt

Essam H.Mohamed, Amira A. Mahmoud, Mohsen M. Saleh

This present study deals with the limestone used in Kosa Basha Fort, Abu Qir, Alexandria.The deteriorated limestone specimens were subjected to several examinations, analyses, and tests, including Polarized Light Microscope (PLM), Scanning Electron Microscope (SEM), X-ray diffraction analysis (XRD), and physical and …

lk (code pays fourni par la source)

A Unified Vision Transformer and Convolutional Neural Network Framework for Multi-Domain Cancer Classification

Heba M. Emara, Walid El‐Shafai, Naglaa F. Soliman, Abeer D. Algarni et autres

Égypte, sa (code pays fourni par la source)

Efficient classification of different medical image multimodalities based on simple CNN architecture and augmentation algorithms

Walid El‐Shafai, Amira A. Mahmoud, Anas M. Ali, El‐Sayed M. El‐Rabaie et autres

sa, Égypte (code pays fourni par la source)

Hybrid Segmentation Approach for Different Medical Image Modalities

Walid El‐Shafai, Amira A. Mahmoud, El‐Sayed M. El‐Rabaie, Taha E. Taha et autres

The segmentation process requires separating the image region into sub-regions of similar properties. Each sub-region has a group of pixels having the same characteristics, such as texture or intensity. This paper suggests an efficient hybrid segmentation approach for different medical image modalities …

Efficient Segmentation Approach for Different Medical Image Modalities

Walid El‐Shafai, Amira A. Mahmoud, El‐Sayed M. El‐Rabaie, Taha E. Taha et autres

This paper presents a study of the segmentation of medical images. The paper provides a solid introduction to image enhancement along with image segmentation fundamentals. In the first step, the morphological operations are employed to ensure image detail protection and noise-immunity. The …

Deep CNN Model for Multimodal Medical Image Denoising

Walid El‐Shafai, Amira A. Mahmoud, Anas M. Ali, El‐Sayed M. El‐Rabaie et autres

In the literature, numerous techniques have been employed to decrease noise in medical image modalities, including X-Ray (XR), Ultrasonic (Us), Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Positron Emission Tomography (PET). These techniques are organized into two main classes: the Multiple …

Traditional Chinese Medicine Automated Diagnosis Based on Knowledge Graph Reasoning

Walid El‐Shafai, Amira A. Mahmoud, El‐Sayed M. El‐Rabaie, Taha E. Taha et autres

Syndrome differentiation is the core diagnosis method of Traditional Chinese Medicine (TCM). We propose a method that simulates syndrome differentiation through deductive reasoning on a knowledge graph to achieve automated diagnosis in TCM. We analyze the reasoning path patterns from symptom to …

Efficient Deep CNN Model for COVID-19 Classification

Walid El‐Shafai, Amira A. Mahmoud, El‐Sayed M. El‐Rabaie, Taha E. Taha et autres

Coronavirus (COVID-19) infection was initially acknowledged as a global pandemic in Wuhan in China. World Health Organization (WHO) stated that the COVID-19 is an epidemic that causes a 3.4% death rate. Chest X-Ray (CXR) and Computerized Tomography (CT) screening of infected persons …

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An Efficient Segmentation Technique for Different Medical Image Modalities

Amira A. Mahmoud, Walid El‐Shafai, Taha E. Taha, El‐Sayed M. El‐Rabaie et autres

In this paper, a study of the segmentation of medical images is presented. The paper provides a solid introduction to image enhancement along with image segmentation fundamentals. Firstly, the local spatial information of the image is enhanced with morphological operations to ensure …

Égypte (code pays fourni par la source)

A statistical framework for breast tumor classification from ultrasonic images

Amira A. Mahmoud, Walid El‐Shafai, Taha E. Taha, El‐Sayed M. El‐Rabaie et autres

Égypte, sa (code pays fourni par la source)