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Attia, M., K. Shaalan, L. Tounsi, and J. van Genabith, "Automatic Extraction and Evaluation of Arabic LFG Resources", The eighth international conference on Language Resources and Evaluation (LREC'12), Istanbul, Turkey, 22 May , 2012. Abstract609_paper.pdf

This paper presents the results of an approach to automatically acquire large-scale, probabilistic Lexical-Functional Grammar (LFG) resources for Arabic from the Penn Arabic Treebank (ATB). Our starting point is the earlier, work of (Tounsi et al., 2009) on automatic LFG f(eature)-structure annotation for Arabic using the ATB. They exploit tree configuration, POS categories, functional tags, local heads and trace information to annotate nodes with LFG feature-structure equations. We utilize this annotation to automatically acquire grammatical function (dependency) based subcategorization frames and paths linking long-distance dependencies (LDDs). Many state-of-the-art treebank-based probabilistic parsing approaches are scalable and robust but often also shallow: they do not capture LDDs and represent only local information. Subcategorization frames and LDD paths can be used to recover LDDs from such parser output to capture deep linguistic information. Automatic acquisition of language resources from existing treebanks saves time and effort involved in creating such resources by hand. Moreover, data-driven automatic acquisition naturally associates probabilistic information with subcategorization frames and LDD paths. Finally, based on the statistical distribution of LDD path types, we propose empirical bounds on traditional regular expression based functional uncertainty equations used to handle LDDs in LFG.

El-Khoribi, R. A., M. A. ismail Shoman, and A. G. A. Mohammed, "Automatic Digital Modulation Recognition Using Artificial Neural Network in Cognitive Radio", International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), vol. 3, no. 3, pp. 132–136, 2014. Abstract
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Reda A. El-Khoribi, Mahmoud Ahmed ismail Shoman, A. G. A. M., "Automatic Digital Modulation Recognition Using Artificial Neural Network in Cognitive Radio", International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), vol. 3, no. 3, 2014. Abstract
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Al-Saeed, T., D. Youssef, and N. Solouma, "Automatic Detection of Micro Aneurisms and Hemorrhage for Screening of Retinal Diseases", UK Academy for Information Systems, UK, 11 April, 2011.
Hamdy, A., F. Digham, O. A. Nasr, and H. - A. M. Mourad, "Automatic detection of jammer interference in GSM networks", 2018 International Conference on Innovative Trends in Computer Engineering (ITCE): IEEE, pp. 248-252, 2018. Abstract
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Nasr, O. A., fadel, A. Hamdy, and H. - A. M. Mourad, "Automatic Detection of Jammer Interference in GSM Networks", International Symposium on Wireless Communication(ISWC), February, 2018.
Abdo, M. S., A. H. Kandil, A. M. El-Bialy, and S. A. Fawzy, "Automatic detection for some common pronunciation mistakes applied to chosen Quran sounds", Biomedical Engineering Conference (CIBEC), Cairo, IEEE, pp. 219-222, 2010.
Abdo, M. S., A. H. Kandil, A. M. El-Bialy, and S. A. Fawzy, "Automatic detection for some common pronunciation mistakes applied to chosen Quran sounds", Biomedical Engineering Conference (CIBEC), 2010 5th Cairo International: IEEE, pp. 219–222, 2010. Abstract
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Khalifa, N. E. M., M. H. N. Taha, and A. E. Hassanien, "Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames", Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018, Cham, Springer International Publishing, pp. 525–531, 2019. Abstract

In this paper, a proposed system for automatic counting and visual multi-tracking for human sperm in microscopic video frames is presented. It can be easily turned into a commercial computer-assisted sperm analysis (CASA) system. CASA systems help in detecting infertility in human sperm according to clinical parameters. The proposed system consists of nine phases and it counts sperm in every single frame of video in real time and calculates the average sperm count through the whole video with accuracy 94.3{%} if it is compared to the manual counting. Also, it tracks all identified sperm in video frames in real time. It works with different frame rates above 15 frame/s to track visually the movements of the sperm. The dataset consists of three high-quality 1080p videos with different frame rates and durations. Finally, the open challenging research points are addressed.

Khalifa, N. E. M., M. H. N. Taha, and A. E. Hassanien, "Automatic Counting and Visual Multi-tracking System for Human Sperm in Microscopic Video Frames", The International Conference on Advanced Intelligent Systems and Informatics 2018. AISI 2018. Advances in Intelligent Systems and Computing, vol 845. Springer, Cham, Cairo, Egypt, 1 September, 2018. Abstract

In this paper, a proposed system for automatic counting and visual multi-tracking for human sperm in microscopic video frames is presented. It can be easily turned into a commercial computer-assisted sperm analysis (CASA) system. CASA systems help in detecting infertility in human sperm according to clinical parameters. The proposed system consists of nine phases and it counts sperm in every single frame of video in real time and calculates the average sperm count through the whole video with accuracy 94.3% if it is compared to the manual counting. Also, it tracks all identified sperm in video frames in real time. It works with different frame rates above 15 frame/s to track visually the movements of the sperm. The dataset consists of three high-quality 1080p videos with different frame rates and durations. Finally, the open challenging research points are addressed.

Anter, A. M., A. T. Azar, A. E. Hassanien, N. El-Bendary, and M. A. Elsoud, "Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques", Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on: IEEE, pp. 193–198, 2013. Abstract
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Anter, A. M., A. T. Azar, A. E. Hassanien, N. El-Bendary, and M. A. Elsoud, "Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques", Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on: IEEE, pp. 193–198, 2013. Abstract
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Badr, Y. A., K. Wassif, and M. Othman, "Automatic Clustering of DNA Sequences with Intelligent Techniques", IEEE Access, vol. 9, pp. 140686-140699, 2021.
Ahmed, I., H. Mostafa, and A. N. Mohieldin, "Automatic Clock Domain Crossing Verification Flow for Dynamic Partial Reconfiguration", IEEE International Midwest Symposium on Circuits and Systems (MWSCAS 2018), Windsor, Ontario, Canada, pp. 1122-1125, 2018. [PDF]
Ahmed, I., H. Mostafa, and A. N. Mohieldin, "Automatic Clock Domain Crossing Verification Flow for Dynamic Partial Reconfiguration", IEEE Midwest Symposium on Circuits and Systems (MWSCAS), Canada, August, 2018.
El Nemr, H., R. H. E. A. M. A., "Automatic Classification of Bank Checks,", The 1st International Symposium on Signal Processing & Information Technology, IEEE, ISSPIT, Cairo, Egypt.: ISSPIT, Cairo, Egypt., 2001. Abstract
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El-Gamal, M. A., H. L. Abdel-Malek, and M. A. Sorour, "Automatic circuit tuning via unsupervised learning paradigms", Journal of Circuits, Systems, and Computers, vol. 15, issue 02: World Scientific, pp. 217-242, 2006. Abstract
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El-Gamal, M. A., H. L. Abdel-Malek, and M. A. Sorour, "Automatic circuit tuning using unsupervised learning procedures", Circuits and Systems, 2003 IEEE 46th Midwest Symposium on, vol. 1: IEEE, pp. 125-128, 2003. Abstract
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Asaad, A., A. El-Bialy, A. H. Kandil, and A. A. SAYED, "Automatic cephalometric analysis using active appearance model and simulated annealing", International Conference on Graphics, Vision and Image Processing, Cairo, pp. 19–21, 2005.
Asaad, A., A. El-Bialy, A. H. Kandil, and A. A. SAYED, "Automatic cephalometric analysis using active appearance model and simulated annealing", ICGST Int J on Graphics, Vision and Image Processing, Special Issue on Image Retrieval and Representation, vol. 6, pp. 51–67, 2006. Abstract
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Mousa, D., N. Zayed, and I. A. Yassine, "Automatic Cardiac MRI Localization Method", Cairo International biomedical Engineering Conference, Cairo, Egypt, pp. 153-157, Dec, 12, 2014.
Sahal, R., S. M. Khattab, and F. A. Omara, "Automatic calibration of database cost model in cloud computing", Informatics and Systems (INFOS), 2012 8th International Conference on: IEEE, pp. CC–25, 2012. Abstract
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Sahal, R., S. M. Khattab, and F. A. Omara, "Automatic Calibration of Database Cost Model in Cloud Computing", The 8th International Conference on Informatics and Systems (INFOS 2012), Cairo, Egypt, pp. CC-27-CC-36, 2012.
Soliman, O. O., N. H. Sweilam, and D. M. Shawky, "Automatic breast cancer detection using digital thermal images", 2018 9th Cairo International Biomedical Engineering Conference (CIBEC): IEEE, pp. 110–113, 2018. Abstract
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Soliman, O. O., N. H. Sweilam, and D. M. Shawky, "Automatic breast cancer detection using digital thermal images", 2018 9th Cairo International Biomedical Engineering Conference (CIBEC): IEEE, pp. 110–113, 2018. Abstract
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