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E.Ateia, E., A. A. Azab, and S. A. Esmail, ".Comparative study on the physical properties of transition metaldoped (Co, Ni, Fe, and Mn) ZnO nanoparticles", Applied Physics A, vol. 124, pp. 469, 2018. azab.pdf
E.Ateia, E., A. A. El-Bassuony, G. Abdelatif, and F. S. Soliman, "Novelty characterization and enhancement of magnetic properties", J Mater Sci: Mater Electron, vol. 28, pp. 241–249, 2017. cocu_2017.pdf
E.Ateia, E., and F. S. Soliman, "Modification of Co/Cu nanoferrites properties via Gd3+/", Applied physics A Materials science, vol. 123, pp. 312, 2017. cocu_rare_earth_.pdf
E.E., H., E. S., A. R. S.A., and O. T.E.I., "Effect of serial casting on hand functions in children with hemiplegic cerebral palsy", 1st International Conference of Genetics and its Role in Life Science Development, Alexandria University International Conference Center, Alexandria, Egypt., pp. 19-22, 2016.
E.E.Khalil, "On the Modeling of Industrial Furnaces and Combustion Chambers", Int. J. of Thermal & Environmental Engineering , vol. 11, issue No.1, pp. 73-83, 2016.
E.E.Khalil, and E.M.ElBially, "Flow Regimes and Thermal Patterns in a Subway Station", American Journal of Fluid Dynamics, vol. 2, issue 6, pp. 1-8, 2012.
E.E.Khalil, and E.M.ElBially, "Experimental and Computational Investigation of Flow Regimes and Thermal Patterns in a Subway Station", ASHRAE Transactions, vol. 118, issue (PART 1) , pp. 199-206, 2012.
E.E.Sanad, F. A. Amer, and S.H.Ahmed, "A comparative Evaluation between TCP SACK and TCP Vegas", IJICIS, vol. VOLUME 4, issue 2, pp. 1-20, 2004.
E.E.Sanad, H. N. Elmahdy, and S.H.Ahmed, "A proposed traffic conditioner in Differentiated service networks", Journal of Al-Azhar University- Engineering sector, vol. volume 6, issue No. 18, pp. pages 321-334, 2011.
E.E.Sanad, F. A. Amer, and S. H. Ahmed, "comparative study of TCP performance Solutions in the Wireless Environment", المؤتمر السنوى الثامن والثلاثون في الاحصاء وعلوم الحاسب وبحوث العمليات , معهد الدراسات والبحوث الاحصائية - جامعة القاهرة, December 2003.
E.E.Sanad, F. A. Amer, and S. H. Ahmed, "comparative study of TCP performance Solutions in the Wireless Environment", المؤتمر السنوى الثامن والثلاثون في الاحصاء وعلوم الحاسب وبحوث العمليات , معهد الدراسات والبحوث الاحصائية - جامعة القاهرة, December 2003.
E.E.Sanad, F. A. Amer, and S.H.Ahmed, "A comparative Evaluation between TCP SACK and TCP Vegas", IJICIS, vol. VOLUME 4, issue 2, pp. 1-20, 2004.
E.E.Sanad, A. M. Kotb, and S. H. Ahmed, "A proposed Traffic conditioner to improve QoS in DiffServ Network using Bandwidth Broker", international Journal of intelligent computing and Information science, vol. volume 11, issue 2, 2011.
E.E.T. ELSawy, M. R. El-Hebeary, and E. I. S. E. Mahallawi, ".Effect of manganese, silicon and chromium additions on microstructure and wear characteristics of grey cast iron for sugar industries applications", Wear, vol. 390-391, issue Published by Elsevier B.V., pp. 113-124, 2017. our_paper.pdf
E.Elghonaimy, R.Barsoum, M. Soliman, and O.Elkhashab, "Serum Gastrin in CRF", VIII International congress of nephrology, Athens, 7-12 june 1981.
E.Elhariri, N.El-Bendary, A.M.M.Hussein, A.Hassanien, and A.Badr, "Bell Pepper Ripeness Classification based on Support Vector Machine", IEEE, vol. 1-6, 2014. Abstract

This article presents a content-based image classification system to monitor the ripeness process of bell pepper (sweet pepper) via investigating and classifying the different maturity/ripeness stages. The proposed approach consists of three phases; namely pre-processing, feature extraction, and classification phases. Since the color of bell pepper surface is the most important characteristic to observe ripeness, this system uses colored histogram for classifying ripeness stage. It implements principal components analysis (PCA) along with support vector machine (SVM) algorithms for feature extraction and classification of ripeness stages, respectively. The datasets used for experiments were constructed based on real sample images for bell pepper at different stages, which were collected from farms in Minya city, Upper Egypt. Datasets of of total 175 images were used for both training and testing datasets. Training dataset is divided into 5 classes representing the different stages of bell pepper ripeness. Experimental results showed that the proposed classification approach has obtained ripeness classification accuracy of 93.89%, using One-against-One Multi-class SVM with linear kernel function and 10-fold cross-validation.

E.Elhariri, N.Elbendary, A.Hassanien, and A.Badr, "Automated Ripeness Assessment System of Tomatoes Using PCA and SVM Techniques", Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies, pp. 101-131, 2014. Abstract

One of the prime factors in ensuring a consistent marketing of crops is product quality, and the process of
determining ripeness stages is a very important issue in the industry of (fruits and vegetables) production,
since ripeness is the main quality indicator from the customers’ perspective. To ensure optimum yield of
high quality products, an objective and accurate ripeness assessment of agricultural crops is important. This
chapter discusses the problem of determining different ripeness stages of tomato and presents a content-based
image classification approach to automate the ripeness assessment process of tomato via examining and
classifying the different ripeness stages as a solution for this problem. It introduces a survey about resent
research work related to monitoring and classification of maturity stages for fruits/vegetables and provides
the core concepts of color features, SVM, and PCA algorithms. Then it describes the proposed approach for
solving the problem of determining different ripeness stages of tomatoes. The proposed approach consists of
three phases, namely pre-processing, feature extraction, and classification phase. The classification process
depends totally on color features (colored histogram and color moments), since the surface color of a tomato
is the most important characteristic to observe ripeness. This approach uses Principal Components Analysis
(PCA) and Support Vector Machine (SVM) algorithms for feature extraction and classification, respectively.

E.Elmetwaly, T., S. S.Darwish, N. F.Attia, R. R.A.Hassan, A. A. E. Ebissy, A. S.Eltaweil, A. M.Omer, H. R.El-Seedi, and S. E.A.Elashery, "Cellulose nanocrystals and its hybrid composite with inorganic nanotubes as green tool for historical paper conservation", Progress in Organic Coatings, vol. 168, pp. 106890, 2022.
E.Elshakre, M., H. H.Alalawy, M. I.Awad, and B. E.El-Anadouli, "On the role of the electronic states of corrosion inhibitors: Quantum chemical-electrochemical correlation study on urea derivatives", Corrosion Science, vol. 124, pp. 121-130, 2017.
E.Eskander, A., and M. A. Dahaba, "ATTACHMENT-RETAINED VERSUS CLASPRETAINED DEFINITIVE OBTURATORS IN ACQUIRED MAXILLARY DEFECTS", Cairo Dental Journal, vol. 30, issue 1, pp. 1-8, 2014. 7.pdf
E.Fateen, A.L.Aboul-Nasr, S.Abdel-Hafez, M.Erfan, S.Temtamy, and Y.Shin, "Newborn screening of phenylketonuria and galactosemia in Egypt : First experience of cord blood application.", Med. J. Cairo Univ. , vol. 69, issue 1 Suppl., pp. 103-107, 2001.
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