Výsledky vyhledávání - "Ghada Emam Atteia"

Latent Space Representational Learning of Deep Features for Acute Lymphoblastic Leukemia Diagnosis

Autor: Ghada Emam Atteia

Publikováno v: Computer Systems Science and Engineering. 45:361-376

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8abd689142b0f19b4590c78b0291b5a6
https://doi.org/10.32604/csse.2023.029597

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Deep Learning Cascaded Feature Selection Framework for Breast Cancer Classification: Hybrid CNN with Univariate-Based Approach

Autor: Souham Meshoul, Ghada Emam Atteia, Yasser Kadah, Nagwan Abdel Samee, Prof. Mugahed A. Al-antari

Publikováno v: Mathematics; Volume 10; Issue 19; Pages: 3631

With the help of machine learning, many of the problems that have plagued mammography in the past have been solved. Effective prediction models need many normal and tumor samples. For medical applications such as breast cancer diagnosis framework, it

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::896be1e391b174a9700498a8a98f49aa
https://doi.org/10.3390/math10193631

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CNN-Hyperparameter Optimization for Diabetic Maculopathy Diagnosis in Optical Coherence Tomography and Fundus Retinography

Autor: Elsayed M. Elkenawy, Ghada Emam Atteia, Nagwan Abdel Samee, Abdelhameed Ibrahim

Publikováno v: Mathematics; Volume 10; Issue 18; Pages: 3274

Diabetic Maculopathy (DM) is considered the most common cause of permanent visual impairment in diabetic patients. The absence of clear pathological symptoms of DM hinders the timely diagnosis and treatment of such a critical condition. Early diagnos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b6f99c8c7f2974bae2205891bc2f3f6
https://doi.org/10.3390/math10183274

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Controlled Strategy for the Cooling Effect of the Solar-Driven Constant-Temperature Solid Sorption System

Autor: Hassan Zohair Hassan, Ghada Emam Atteia

Publikováno v: International Review of Mechanical Engineering (IREME). 15:464

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::451922fd70dd2f58b46e0c9bf75b758a
https://doi.org/10.15866/ireme.v15i9.21288

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REALISTIC MODEL OF DISPERSIVE SOILS USING PLRC-FDTD WITH APPLICATIONS TO GPR SYSTEMS

Autor: Ghada Emam Atteia, Khalid Fawzi Ahmed Hussein

Publikováno v: Progress In Electromagnetics Research B. 26:335-359

A realistic model of ground soil is developed for the electromagnetic simulation of Ground Penetrating Radar (GPR) systems. A three dimensional Finite Difierence Time Domain (FDTD) algorithm is formulated to model dispersive media using N-term Debye

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9caf47ee6f48ba4d70f36783cbd41d6e
https://doi.org/10.2528/pierb10083102

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WIDEBAND PARTIALLY-COVERED BOWTIE ANTENNA FOR GROUND-PENETRATING-RADARS

Autor: Khalid F. A. Hussein, Ghada Emam Atteia, Abdelhamid A. Shaalan

Publikováno v: Progress In Electromagnetics Research. 71:211-226

In this paper, wide band transmitting and receiving antennas; each composed of a bowtie partially covered by an open conducting box; are proposed for ground-penetrating-radar (GPR) system. The inner walls of the conducting box are covered by a lossy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96e2c71653be0365c670f2ba60dc2a76
https://doi.org/10.2528/pier07030101

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