Publications

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Book Chapter
Myers, T. E., A. L. Richards, P. Daszak, S. P. Luby, J. H. Epstein, J. M. Hossain, E. S. Gurley, J. R. C. Pulliam, A. Zayed, M. S. Abdel-Dayem, et al., "Emerging and re-emerging diseases", Environmental Tracking for Public Health Surveillance, vol. 11: CRC Press, pp. 187, 2012. Abstract
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Gill, C. O., and M. K. Youssef, "Emerging pathogens.", Encyclopedia of Meat Sciences, London, Elsevier, 2014.
Salama, D. A. F. H., "Emotional turn zwischen Ästhetisierung und Ethisierung. Konrad Flecks Versroman „Flore und Blanscheflur“ (ca. 1220) und die arabische Qasside ‘Afra‘ des ‘Urwa ibn Hizām (ca. 2. Hälfte 7. Jhdt.s). Eine komparatistische Studie", GiG-Band Komparative Ästhetik(en), hrsg. v. Ernest W.B. Hess-Lüttich gemeinsam mit Vibha Surana und Meher Bhoot (= Cross Cultural Communication 28 = Publikationen der GiG 22), Frankfurt/Main etc.: Peter Lang , Berlin, Peter Lang Verlag, 2018. emotional_turn.pdf
Barsoum, R. S., "End Stage Renal Disease (ESKD) in Egypt and North Africa ", Chronic Kidney Disease in Disadvantaged Populations, London, San Diego, Cambridge, Oxford, Elsevier, 2017.
El Refaee, E. A., and A. A. Abdullah, "Endoscopic Third Ventriculostomy, Indications and Challenges", Hydrocephalus-Water on the Brain: IntechOpen, 2018. Abstract
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Elsayed, M., A. Tawfik, and A. Abomohra, "Energy Recovery from Fat, Oil and Grease (FOG)", Waste-to-Energy: Recent Developments and Future Perspectives towards Circular Economy : Springer, 2022.
Abdelhamid, B., A. Al-Habal, and A. Khattab, "Energy-Efficient Layered IoT Smart Home System", Design and Construction of Smart Cities: Toward Sustainable Community: Springer, 2021.
Asmaa Osamaa, S. A. El-Said, and A. E. Hassanien, "Energy-Efficient Routing Techniques for Wireless Sensors Networks", Handbook of Research on Emerging Technologies for Electrical Power Planning, Analysis, and Optimization: IGI Global, pp. 37–62, 2016. Abstract
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Bhardwaj, A. K., L. M. M. Hamed, N. Sharma, D. Rajwar, S. Meti, and M. S. Nagaraja, "Engineered Polymeric and Nano-materials for Taming Salty Soils and Waters Used for Crop Production", Research Developments in Saline Agriculture: Springer, pp. 391–405, 2019. Abstract
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Abdel Latif, M. M. M., "English education policy at the pre-university stages in Egypt: Past, present and future directions.", In R. Kirkpatrick (Ed.), English language policy in the Middle East and North Africa, pp. 33-45.: Springer, 2017.
Shaalan, K., A. Hendam, and A. Rafea, "An English-Arabic Bi-directional Machine Translation Tool in the Agriculture Domain", Intelligent Information Processing V, vol. 340, Berlin, Heidelberg, Springer Boston, pp. 281–290, 2010. Abstractbi_direct_a_e_mt.pdf

The present work reports our attempt in developing an English-Arabic bi-directional Machine Translation (MT) tool in the agriculture domain. It aims to achieve automated translation of expert systems. In particular, we describe the translation of knowledge base, including, prompts, responses, explanation text, and advices. In the central laboratory for agricultural expert systems, this tool is found to be essential in developing bi-directional (English-Arabic) expert systems because both English and Arabic versions are needed for development, deployment, and usage purpose. The tool follows the rule-based transfer MT approach. A major design goal of this tool is that it can be used as a stand-alone tool and can be very well integrated with a general (English-Arabic) MT system for Arabic scientific text. The paper also discusses our experience with the developed MT system and reports on results of its application on real agricultural expert systems.

Ezzat, M., T. ElGhazaly, and M. Gheith, "An Enhanced Arabic OCR Degraded Text Retrieval Model", Advances in Artificial Intelligence and Its Applications: Springer, pp. 380–393, 2013. Abstract
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Osman, M. A., A. Darwish, A. Z. Ghalwash, and A. E. Hassanien, "Enhanced Breast Cancer Diagnosis System Using Fuzzy Clustering Means Approach in Digital Mammography", Handbook of Research on Machine Learning Innovations and Trends, USA, IGI, 2017. Abstract

Breast cancer or malignant breast neoplasm is the most common type of cancer in women. Researchers are not sure of the exact cause of breast cancer. If the cancer can be detected early, the options of treatment and the chances of total recovery will increase. Computer Aided Diagnostic (CAD) systems can help the researchers and specialists in detecting the abnormalities early. The main goal of computerized breast cancer detection in digital mammography is to identify the presence of abnormalities such as mass lesions and Micro calcification Clusters (MCCs). Early detection and diagnosis of breast cancer represent the key for breast cancer control and can increase the success of treatment. This chapter investigates a new CAD system for the diagnosis process of benign and malignant breast tumors from digital mammography. X-ray mammograms are considered the most effective and reliable method in early detection of breast cancer. In this chapter, the breast tumor is segmented from medical image using Fuzzy Clustering Means (FCM) and the features for mammogram images are extracted. The results of this work showed that these features are used to train the classifier to classify tumors. The effectiveness and performance of this work is examined using classification accuracy, sensitivity and specificity and the practical part of the proposed system distinguishes tumors with high accuracy.

Osman, M. A., A. Darwish, A. Z. Ghalwash, and A. E. Hassanien, "Enhanced Breast Cancer Diagnosis System Using Fuzzy Clustering Means Approach in Digital Mammography", Handbook of Research on Machine Learning Innovations and Trends, USA, IGI, 2017. Abstract

Breast cancer or malignant breast neoplasm is the most common type of cancer in women. Researchers are not sure of the exact cause of breast cancer. If the cancer can be detected early, the options of treatment and the chances of total recovery will increase. Computer Aided Diagnostic (CAD) systems can help the researchers and specialists in detecting the abnormalities early. The main goal of computerized breast cancer detection in digital mammography is to identify the presence of abnormalities such as mass lesions and Micro calcification Clusters (MCCs). Early detection and diagnosis of breast cancer represent the key for breast cancer control and can increase the success of treatment. This chapter investigates a new CAD system for the diagnosis process of benign and malignant breast tumors from digital mammography. X-ray mammograms are considered the most effective and reliable method in early detection of breast cancer. In this chapter, the breast tumor is segmented from medical image using Fuzzy Clustering Means (FCM) and the features for mammogram images are extracted. The results of this work showed that these features are used to train the classifier to classify tumors. The effectiveness and performance of this work is examined using classification accuracy, sensitivity and specificity and the practical part of the proposed system distinguishes tumors with high accuracy.

Osman, M. A., A. Darwish, A. E. Khedr, A. Z. Ghalwash, and A. E. Hassanien, "Enhanced Breast Cancer Diagnosis System Using Fuzzy Clustering Means Approach in Digital Mammography", Handbook of Research on Machine Learning Innovations and Trends: IGI Global, pp. 925–941, 2017. Abstract
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Ibrahim, L. F., S. Sadek, S. Hakeem, L. Al-Sabban, A. I. M. Ahmed, and A. H. Al-Sayed, "Enhanced Hospital Information System by Cloud Computing: SHEFA'A", Design, User Experience, and Usability. User Experience Design for Everyday Life Applications and Services, Book Series: Lecture Notes in Computer science, Volume 8519, 2014, pp 56-62, Switzerland, Springer International Publishing, 2014.
Maabid, A. M., T. ElGhazaly, and M. Ghaith, "An Enhanced Rule Based Arabic Morphological Analyzer Based on Proposed Assessment Criteria", Advances in Swarm and Computational Intelligence: Springer International Publishing, pp. 393–400, 2015. Abstract
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Marzouk, M., M. Elsharkawy, and A. Eissa, "Enhancing Energy Consumption using BIM: A Case Study of Egyptian Palace", Green Buildings and Renewable Energy, Cham, Switzerland, Springer Nature Switzerland, 2020.
Khalil, H., "Enhancing Livability through Resource Efficiency: An Urban Metabolism Study in Cairo", The Materials Book, Berlin, Ruby Press, 2020.
Zhou, Z., H. Yan, S. Ibrahim, J. - H. Cui, Z. Shi, and R. Ammar, "Enhancing underwater acoustic sensor networks using surface radios: Issues, challenges and solutions", Sensor Networks: Springer, pp. 283–307, 2009. Abstract
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