Publications

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Journal Article
I, A., M. S. Saad, A. A. El-Amari, and M. A. M. Hassan, "Automatic generation control of an interconnected power system", International Journal of Ambient Energy, 2021. AbstractWebsite
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Fouad, A., A. Rafea, and H. A. Hassan, "Automatic generation of explanation for expert systems implemented with different knowledge representations", WSEAS TRANSACTIONS on SYSTEMS, vol. Volume 8, issue Issue 1, 2009.
Said, A. F., A. Rafea, S. R. El-Beltagy, and H. Hassan, "Automatic generation of explanation for expert systems implemented with different knowledge representations", WSEAS Transactions on Systems, vol. 8, issue 1, pp. 55-64, 2009. Abstract
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Said, A. F., A. Rafea, S. R. El-Beltagy, and H. Hesham, "Automatic generation of Explanation for Expert Systems Implemented with Different Representations", WSEAS Trans. on Systems, issue 1, pp. 55-64, 2009. Abstract
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Hamid, S., and M. Rashwan, "Automatic generation of hypotheses for automatic diagnosis of pronunciation errors", Proc. NEMLAR Conf. on Arabic Language Resources and Tools, Cairo, Egypt, 2004. Abstract
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Abou-El-Ezz, A., A. Asaad, A. H. Kandil, E. - B. AM, and S. A. Ahmed, "AUTOMATIC IDENTIFICATION OF CEPHALOMETRIC LANDMARKS USING ACTIVE APPEARANCE MODEL ALGORITHM", Official Journal of the Egyptian Dental Association, vol. 53, pp. 2-3, 2007.
El-Bendary, N., T. - H. Kim, A. E. Hassanien, and M. Sami, "Automatic image annotation approach based on optimization of classes scores", Computing -Spriner , vol. 96, issue 5, pp. 381-402 , 2014. Website
El-Bendary, N., T. - H. Kim, A. E. Hassanien, and M. Sami, "Automatic image annotation approach based on optimization of classes scores", Computing, vol. 96, no. 5: Springer Vienna, pp. 381–402, 2014. Abstract
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Own, H., and A. E. Hassanien, "Automatic Image Registration Algorithm Based on Multiresolution Local Contrast Entropy and Mutual Information", International Journal of Computers and Their Applications, vol. 12, issue 1, pp. 9-15, 2005.
Li, Y., W. Li, S. Tang, W. Darwish, Y. Hu, and W. Chen, "Automatic indoor as-built building information models generation by using low-cost RGB-D sensors", Sensors, vol. 20, issue 1: Multidisciplinary Digital Publishing Institute, pp. 293, 2020. Abstract
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Essa, K. S., and Z. E. Diab, "An automatic inversion approach for magnetic data applying the global bat optimization algorithm (GBOA): application to ore deposits and basement rock intrusion", Geomechanics and Geophysics for Geo-Energy and Geo-Resources, vol. 8, pp. 185, 2022.
Essa, K. S., and Z. E. Diab, "An automatic inversion approach for magnetic data applying the global bat optimization algorithm (GBOA): application to ore deposits and basement rock intrusion", Geomechanics and Geophysics for Geo-Energy and Geo-Resources, vol. 8, issue 185, 2022.
, "Automatic Knowledge Acquisition tool for irrigation and fertilization expert systems", Expert Systems with Applications, vol. Volume 24,, issue Issue 1, pp. 49-57, 2003.
Rafea, A., H. Hassen, and M. Hazman, "Automatic knowledge acquisition tool for irrigation and fertilization expert systems", Expert systems with Applications, vol. 24, issue 1: Elsevier, pp. 49-57, 2003. Abstract
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Rafea, A., H. Hassen, and M. Hazman, "Automatic knowledge acquisition tool for irrigation and fertilization expert systems", Expert systems with Applications, vol. 24, issue 1: Pergamon, pp. 49-57, 2003. Abstract
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Anter, A. M., A. E. Hassanien, A. T. Azar, and M. A. Elsoud, "Automatic Liver Parenchyma Segmentation System from Abdominal CT Scans using Hybrid Techniques", International Journal of Biomedical Engineering and Technology, vol. 17, issue 2, 2015. AbstractWebsite

In this paper, a multi–layer heuristic approach is introduced to segment liver region from other tissues in multi–slice CT images. Image noise is a principal factor which hampers the visual quality of medical images and can therefore lead to misdiagnosis. To address this issue, we first utilise an algorithm based on median filter to remove noise and enhance the contrast of the CT image. This is followed by performing an adaptive threshold algorithm and morphological operators to preserve the liver structure and remove the fragments of other organs. Then, connected component labelling algorithm was applied to remove false positive regions and focused on liver region. To evaluate the performance of the proposed system, we present tests on different liver CT scans images. The experimental results show that the overall accuracy offered by the employed system is high compared with other related works as well as very fast which segment liver from abdominal CT in less than 0.6 s/slice.

Anter, A. M., A. E. Hassanien, M. A. Elsoud, and A. T. Azar, "Automatic liver parenchyma segmentation system from abdominal CT scans using hybrid techniques", International Journal of Biomedical Engineering and Technology, vol. 17, no. 2: Inderscience Publishers, pp. 148–167, 2015. Abstract
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Anter, A. M., M. A. Elsoud, and A. E. Hassanien, "Automatic mammographic parenchyma classification according to BIRADS dictionary", Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies. IGI Global, pp. 22–37, 2014. Abstract
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Mostafa, E., A. E. F. A. Hegazy, and A. Badr, "Automatic Mass Detection and Classification in Mammograms", Egyptian Computer Science Journal, vol. 30, pp. 14–24, 2008. Abstract
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E.Mostafa, A.Hegazy, and A.Badr, "Automatic mass detection and classification in mammograms", Egyptian Computer Science Journal, 2009.
Shaalan, K., H. Talhami, and I. Kamel, "Automatic Morphological Generation for the Indexing of Arabic Speech Recordings", The International Journal of Computer Processing of Oriental Languages (IJCPOL), vol. 20, no. 1, pp. 1–14, 2007. Abstractijcpol2.pdfWebsite

This paper presents a novel Arabic morphological generator (AMG) for Modern Standard Arabic (MSA) which is designed and implemented using Prolog. The AMG is used to generate inflected forms of words used for the indexing of Arabic audio. These words are also the relevant terms in the Arab authority system (library information retrieval system) used in this study. The AMG generates inflected Arabic words from the root according to pre-specified morphological features that can be extended as needed. The Arabic word is represented as a feature structure which is handled through unification during the morphological generation process. The inflected forms can then be inserted automatically into a speech recognition grammar which is used to identify these words in an audio sequence or utterance.

Badr, A., M. M. Abdelwahab, and A. M. Thabet, Automatic Number Plate Recognition System, , vol. 38, 2011. Abstract
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Badr, A., M. M. Abdelwahab, A. M. Thabet, and A. M. Abdelsadek, "Automatic Number Plate Recognition System", Annals of the University of Craiova-Mathematics and Computer Science Series, vol. 38, no. 1, pp. 62–71, 2011. Abstract
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A.Badr, M.AbdWahab, A.Thabet, and A.Sadek, "Automatic Number Plate Recognition System", Annals of the University of Craiova, vol. 38, pp. 62-71, 2011. Abstract

Automatic recognition of car license plate number became a very important in our daily life because of the unlimited increase of cars and transportation systems which make it impossible to be fully managed and monitored by humans, examples are so many like traffic monitoring, tracking stolen cars, managing parking toll, red-light violation enforcement, border and customs checkpoints. Yet it’s a very challenging problem, due to the diversity of plate formats, different scales, rotations and non-uniform illumination conditions during image acquisition. This paper mainly introduces an Automatic Number Plate Recognition System (ANPR) using Morphological operations, Histogram manipulation and Edge detection Techniques for plate localization and characters segmentation. Artificial Neural Networks are used for character classification and recognition.

Taha, E. M., E. Emary, and K. Moustafa, "Automatic Optical Inspection for PCB Manufacturing: a Survey", International Journal of Scientific & Engineering Research, vol. 5, issue 7, pp. 1095-1102, 2014.