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2021
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[1] Elkhateeb, E., Soliman, H., Atwan, A., Elmogy, M., Kwak, K.-S., and Mekky, N.: A Novel Coarse-to-Fine Sea-Land Segmentation Technique Based on Superpixel Fuzzy C-Means Clustering and Modified Chan-Vese Model, IEEE Access, Vol. 9, pp. 53902 – 53919, 2021, DOI: 10.1109/ACCESS.2021.3065246
[2] Elazab, N., El-Sappagh, S., Atwan, A., Soliman, H., Elmogy, M., Alarabi, L, and Mekky, N.: Overlapping Shadow Rendering for Outdoor Augmented Reality, CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1915-1932, 2021, DOI:10.32604/cmc.2021.015067
[3] Elsayed, W., Elmogy, M., and El-Desouky, B.S.: DNA Sequence Reconstruction Based on Innovated Hybridization Technique of Probabilistic Cellular Automata and Particle Swarm Optimization, Information Sciences, Information Sciences, vol. 547, no. 8, pp. 828–840, February 2021. https://doi.org/10.1016/j.ins.2020.08.102
[4] Ibraheem, M. R., Adel, J., Balbaa, A. E., El-Sappagh, S., Abuhmed, T., and Elmogy, M.: Timing and Classification of Patellofemoral Osteoarthritis Patients Using Fast Large Margin Classifier, Computers Materials & Continua, Vol.67, No.1, pp.393-409, 2021, doi:10.32604/cmc.2021.014446
[5] AbdelMaksoud, E., El-Sappagh, S., Barakat, S., Abuhmed, T., and Elmogy, E.: Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions, IEEE Access, Vol. 9, pp. 15939 – 15960, 19 January 2021, DOI: 10.1109/ACCESS.2021.3052870
[6] Al-Saeed, Y., Eldaydamony, E., Atwan, A., Elmogy, M., and Ouda, O.: Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features, Electronics, Vol., 10, No., 4,PP. 404, 2021, https://doi.org/10.3390/electronics10040404 - 07 Feb 2021
[7] Abdelmaksoud, E., Barakat, S., and Elmogy, M.: Diabetic retinopathy grading system based on transfer learning, International Journal of Advanced Computer Research, Vol. 11, No. 52, pp. 1-12, 2021.
[8] Shoaip, N., Rezk, A., EL-Sappagh, S., Abuhmed, T., Barakat, S., and Elmogy, M.: Alzheimer’s Disease Diagnosis Based on a Semantic Rule-Based Modeling and Reasoning Approach, Computers, Materials, & Continua; Vol. 69, Iss. 3, pp. 3531-3548, 2021, DOI:10.32604/cmc.2021.019069
[9] Ahmed, H., Alarabi, L., El-Sappagh, S., Soliman, H., and Elmogy, M.: Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles, PeerJ Computer Science, Vol., 7, No. e697, 2021, https://doi.org/10.7717/peerj-cs.697
[10] Alsolami, A. S., Shalash, W., Alsaggaf, W., Ashoor, S., Refaat, H., and Elmogy, M.: King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD), Data, Vol. 6, No. 11, 111, 2021, https://doi.org/10.3390/data6110111
[11] El-Gamal, F. A., Elmogy, M., Mahmoud, A., Shalaby, A., Switala, A., Ghazal, M., Soliman, H., Atwan, A., Alghamdi, N., Barnes, G. N., and El-Baz, A.: A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI), Sensors, Vol. 21, No. 16, 5416, 2021, https://doi.org/10.3390/s21165416
[12] Adel, E., El-Sappagh, S., Barakat, S., Hu, J., and Elmogy, M.: An Extended Semantic Interoperability Model for Distributed Electronic Health Record Based on Fuzzy Ontology Semantics, Electronics, Vol. 10, No. 14, 1733, 2021, https://doi.org/10.3390/electronics10141733
[13] Mahmoud Gad, Esam Hagras, Hasan Soliman, Noha Hikal, A New Parallel Fuzzy Multi Modular Chaotic Logistic Map for Image Encryption (2021) Int. Arab J. Inf. Technol (18) ,227-236
[14] Yasmin M Alsakar, Nagham E Mekky, Noha A Hikal, Detecting and Locating Passive Video Forgery Based on Low Computational Complexity Third-Order Tensor Representation, Journal of Imaging (7) ,47.
[15] Sankar Sennan, Somula Ramasubbareddy, Sathiyabhama Balasubramaniyam, Anand Nayyar, Mohamed Abouhawwash, Noha A Hikal, T2FL-PSO: Type-2 Fuzzy Logic-based Particle Swarm Optimization Algorithm used to Maximize the Lifetime of Internet of Things, IEEE Access.
[16] Eman Mohamed, Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features, Electronics
[17] Eman Mohamed, Detecting Fake News in Social Media Using Voting Classifier, IEEE Access (VOLUME 9) ,161909-161925
[18] Eman Mohamed, HDPF: Heart Disease Prediction Framework Based on Hybrid Classifiers and Genetic Algorithm , IEEE Access (VOLUME 9) ,146797-146809
[19] Eman Mohamed, USING MACHINE LEARNING MODELS TO PREDICT CORONARY HEART DISEASE (2021) Ciencia e Tecnica Vitivinicola ((Vol. 36 (no 10) ,21-45
[20] SK Mohamed, N.A Sakr, N.A Hikal, “A Review of Breast Cancer Classification and Detection Techniques”, International Journal of Advanced Science Computing and Engineering, 2021.
[21] Aya selim, Nehal A. Sakr, H. H. Soliman, “A Review Of DDOS Attacks and Taxonomy Of Defenses For IOT”, International Journal of Scientific Research in Science and Technology, 2021.
[22] Abd ElGhany, S., Ibraheem, M. R., Alruwaili, M., and Elmogy, M.: Diagnosis of Various Skin Cancer Lesions Based on Fine-Tuned ResNet50 Deep Network, CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 117-135, 2021, DOI:10.32604/cmc.2021.016102
[23] Abdelmaksoud, I., Shalaby, A., Mahmoud, A., Elmogy, M., Aboelfetouh, A., Abou El-Ghar, M., El-Melegy, M., Alghamdi, N., and El-Baz, A.: Precise Identification of Prostate Cancer from DWI Using Transfer Learning, Sensors, Vol. 21, No., 11, 3664, 2021, https://doi.org/10.3390/s21113664
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2020
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[24] Noha A Hikal, Marwa M. Eid, Enhanced technique for detecting active and passive black hole attacks in manet, AISI 2020, AISC 1261 (AISI 2020, AISC 1261, pp. 247–260.
[25] Noha A. Hikal, Marwa M. Eid, A new approach for palmprint image encryption based on hybridchaotic maps, Journal of King Saud University – Computer and Information Sciences journal homepage: ww.sciencedirect.com (Vol.32) ,870-882
[26] Said fathi, Noha A Hikal, A Review of Cyber-security Measuring and Assessment Methods for Modern Enterprises, JOIV (VOL 3 (2019) NO 2) ,157-167.
[27] Esraa - Hassan,Samir - Elmuogy, Noha A. Hikal, An efficient technique for CT scan images classification of COVID-19, Journal of Intelligent & Fuzzy Systems ,1 – 14
[28] Noha A. Hikal, M. M. algayar, Enhancing IoT Botnets Attack Detection Using Machine Learning-IDS and Ensemble Data Preprocessing Technique, Internet of Things—Applications and Future, Lecture Notes in Networks and Systems 114, (114) ,89-102
[29] Ahmed H El-Gamal, Reham R Mostafa, Noha A Hikal, Load Balancing Enhanced Technique for Static Task Scheduling in Cloud Computing Environments, ,411-430
[30] Noha A Hikal, MM Elgayar, Enhancing IoT Botnets Attack Detection Using Machine Learning-IDS and Ensemble Data Preprocessing Technique, ,89-102.
[31] Noha A Hikal, MM Elgayar, Enhancing IoT Botnets Attack Detection Using Machine Learning-IDS and Ensemble Data Preprocessing, Internet of Things—Applications and Future: Proceedings of ITAF 2019 (114) ,89
[32] Marwa M Eid, Noha A Hikal, Enhanced Technique for Detecting Active and Passive Black-Hole Attacks in MANET, International Conference on Advanced Intelligent Systems and Informatics ,247-260
[33] NA Hikal, A new approach for palmprint image encryption based on hybrid chaotic maps”, (vol 32, pg. 870, 2018) , JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES (32) ,1219-1219
[34] Noha A. Hikal, Mahmoud Y. Shams, Omar. M. Elzeki , Mohamed E. Elaraby, Signature Recognition Based On Support Vector Machine And Deep Convolutional Neural Networks For Multi-Region Of Interest, Journal of Theoretical and Applied Information Technology (98) ,3887 -3897
[35] Mahmoud Y. Shams, Omar. M. Elzek, Mohamed E. Elaraby, Noha A. Hikal, Signature recognition based on support vector machine and deep convolutional neural networks for multi-region of interest, http://www.jatit.org/volumes/Vol98No23/22Vol98No23.pdf (. Vol.98. No 23) ,3897 -3887
[36] Ahmed ElGamal, Reham Reda, Noha A. Hikal, Load Balancing Enhanced Technique for Static Task Scheduling in Cloud Computing Environments, Internet of Things—Applications and Future, (Lecture Notes in Networks and Systems 114,) ,411-430
[37] Shoaip, N., Rezk, A., El-Sappagh, S., Alarabi, L., Barakat, S, and Elmogy, M.: A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer’s Disease Diagnosis, IEEE Access, Vol. 9, pp. 31350 - 31372, 31 December 2020, DOI: 10.1109/ACCESS.2020.3048435
[38] AbdelMaksoud, E., Barakat, S., and Elmogy, E.: A comprehensive diagnosis system for early signs and different diabetic retinopathy grades using fundus retinal images based on pathological changes detection, Computers in Biology and Medicine, vol. 126, 104039, November 2020, https://doi.org/10.1016/j.compbiomed.2020.104039
[39] El-Gamal, F. A., Elmogy, M., Khalil, A., Ghazal, M., Yousaf, J., Qiu, X., Soliman, H., Atwan, A., Frieboes, H., Barnes, G., and El-Baz, A.: Personalized Computer-Aided Diagnosis for Mild Cognitive Impairment in Alzheimer’s Disease Based on sMRI and ¹¹C PiB-PET Analysis, IEEE Access, Vol. 8, pp. 218982 – 218996, 17 November 2020, DOI: 10.1109/ACCESS.2020.3038723
[40] Elazab, N., Soliman, H., El-Sappagh, S., Riazul Islam, S. M., and Elmogy, M.: Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends, Mathematics, vol. 8, no. 11, 1863, 2020, https://doi.org/10.3390/math8111863
[41] Ibraheem, M. R., El-Sappagh, S., Abuhmed, T., and Elmogy, M.: Staging Melanocytic Skin Neoplasms Using High-Level Pixel-Based Features, Electronics 2020, vol. 9, no. 9, 1443; https://doi.org/10.3390/electronics9091443
[42] Sandhu H. S., Elmogy M., Taher Sharafeldeen A., Elsharkawy M., El-Adawy N., Eltanboly A., Shalaby A., Keynton R., El-Baz A.: Automated Diagnosis of Diabetic Retinopathy Using Clinical Biomarkers, Optical Coherence Tomography, and Optical Coherence Tomography Angiography, American Journal of Ophthalmology, vol. 216, pp. 201-206, August 2020, doi: 10.1016/j.ajo.2020.01.016
[43] Adel, E., El-Sappagh, S., Elmogy, M., Barakat, S., and Kwak, K.: A Fuzzy Ontological Infrastructure for Semantic Interoperability in Distributed Electronic Health Record, Intelligent Automation & Soft Computing (AUTOSOFT) Journal, TSP, vol 26, no. 2, pp. 237-251, 2020.
[44] Al-Saeed, Y., Soliman, H., and Elmogy, M.: A Comprehensive Review of Medical Image Analysis Techniques for Liver Disorders, Jordan Journal of Electrical Engineering, Vol. 6, No. 4, pp. 274-295, 2020.
[45] Elsayed, W. M., Elmogy, M., and El-Desouky, B. S.: Computational Analysis of DNA Sequences Based upon an Innovative Mathematical Hybridization Mechanism of Probabilistic Cellular Automata and Particle Swarm Optimization, Journal of Theoretical and Applied Information Technology, Vol.98, Issues 04, 2020.
[46] Eman Mohamed, Reduction of Secondary Lobes in Joint angle and Delay Estimation in Angle of Arrival Localization to Detect MAC Address Spoofing in Wireless networks (2020) International Journal of Communication Networks and Information Security (IJCNIS)
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2019
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[47] Said F Aboelfotoh, Noha A Hikal, A Review of Cyber-security Measuring and Assessment Methods for Modern Enterprises, (3) ,157-176
[48] Khalil, A., Elmogy, M., Ghazal, M., Burns, C., and El-Baz, A.: Chronic Wound Healing Assessment System Based on Different Features Modalities and Non-Negative Matrix Factorization (NMF) Feature Reduction, IEEE Access, vol. 7, pp. 80110-80121, DOI: 10.1109/ACCESS.2019.2923962, 2019.
[49] El-Sappagh, S., Elmogy, M., Ali, F., Abuhmed, T., Riazul Islam, S., and Kwak, K.: A Comprehensive Medical Decision–Support Framework Based on a Heterogeneous Ensemble Classifier for Diabetes Prediction, Electronics, vol. 8, no. 6, pp. 635, https://doi.org/10.3390/electronics8060635, 2019.
[50] El-Sappagh, S., Elmogy, M., Ali, F., and Kwak, K.: A case-base fuzzification process: diabetes diagnosis case study, Soft Computing, Springer, vol. 23, no. 14, pp. 5815-5834, 2019.
[51] Shalaby, A., Elmogy, M. and Elfetouh, A. A.: 3D image reconstruction from different image formats using marching cubes technique, Int. J. Computational Vision and Robotics, vol. 9, no. 3, pp. 293-309, 2019.
[52] Shariha, G., Elmogy, M., El-Daydamony, E., and Atwan, A.: Multiple Pedestrian Detection Depending on Faster Region-based Convolutional Neural Network (RCNN), Mansoura Journal for Computers and Information Sciences, 2019.
[53] Aida Abd El-Mohsen, Eman M. El-Daydamony, Fatma E.Z. Abou-Chadi, Sign Language Hand Gesture Recognition Using Autoencoder and Support Vector Machine Classifiers (2019) International Journal of Simulation- Systems, Science and Technology- IJSSST
[54] N. S. Fayed, Mervat Abu-Elkheir, E. M. El-Daydamony, A.Atwan, Sensor-based occupancy detection using neutrosophic features fusion (2019) Heliyon
[55] Mahmoud A. Salam, Waleed M. Bahgat, Eman El-Daydamony, Ahmed Atwan, A Novel Framework for Web Service Composition (2019) International Journal of Simulation–Systems, Science & Technology
[56] Atrab A. Abd El-Aziz, Eman Mohamed Eldaydamony, Alaa. M. Raid, Hassan Soliman, Online User Authentication System Based on Finger Knuckle Print Using Smartphones (2019) Security in Smart Cities: Models, Applications, and Challenges
[57] El-Gayar, M. M., Mekky, N. E., Atwan, A., and Soliman, H., “A Novel Knowledge-based Semantic Search Engine,” International Journal of Simulation: Systems, Science, and Technology (IJSSST), vol. 20, issue 5, pp. 9.1-9.9., October 2019.
[58] El-Gayar, M. M., Mekky, N. E., Atwan, A., and Soliman, H., “Enhanced Search Engine Using Proposed Framework and Ranking Algorithm Based on Semantic Relations,” IEEE Access, vol. 7, pp. 139337–139349, September 2019. DOI: 10.1109/ACCESS.2019.2941937
[59] Nehal A. Sakr, Mervat Abu-Elkheir, A. Atwan, H. H. Soliman, “A multilabel Classification Approach for Complex Human Activities using a combination of Emerging Patterns and Fuzzy Sets”, International Journal of Electrical and Computer Engineering, Vol. 9, No 4, PP. 2995-3003, 2019.
[60] Nehal A. Sakr, Mervat Abu-Elkheir, A. Atwan, H. H. Soliman, “Data driven recognition of interleaved and concurrent human activities with nonlinear characteristics”, Journal of Intelligent & Fuzzy Systems IOS Press, Vol. 37, PP. 5573–5588, 2019.
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2018
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[61] García-Zapirain, B., Elmogy, M., Elmaghraby, A., and El-Baz, A.: Classification of Pressure Ulcer Tissues with 3D Convolutional Neural Network, Medical & Biological Engineering & Computing Journal, June 15, 2018. doi: 10.1007/s11517-018-1835-y.
[62] Reda, I., Khalil, A., Elmogy, M., Abou El-Fetouh, A., Shalaby, A., Abou El-Ghar, M., Elmaghraby, A., Ghazal, M., and El-Baz, A.: Deep learning role in early diagnosis of prostate cancer, Technology in Cancer Research & Treatment, Jan 2018. Doi: 10.1177/1533034618775530.
[63] Eladawi, N., Elmogy, M., Khalifa, F., Ghazal, M., Ghazi, N., Aboelfetouh, A., Riad, A., Sandhu, H., Schaal, S., and El-Baz, A.: Early Diabetic Retinopathy Diagnosis Based on Local Retinal Blood Vessels Analysis in Optical Coherence Tomography Angiography (OCTA) Images, Medical Physics, vol. 45, no. 10, pp. 4582-4599, 2018.
[64] Sandhu, H., Eladawi, N., Elmogy, M., Keynton, R., Helmy, O., Schaal, S., and El-Baz, A.: Automated diabetic retinopathy detection using optical coherence tomography angiography: a pilot study, British Journal of Ophthalmology, http://dx.doi.org/10.1136/bjophthalmol-2017-311489, 2018.
[65] El-Gamal, F., Elmogy, M., Ghazal, M., Atwan, A., Casanova, M., Barnes, G., Keynton, R., El-Baz, A., and Khalil, A.: A Novel Early Diagnosis System for Mild Cognitive Impairment Based on Local Region Analysis: A Pilot Study, Frontiers in Human Neuroscience, Vol. 11, no. 643, pp. 1-10, 2018.
[66] Eladawi, N., Elmogy, M., Ghazal, M., Helmy, O., Aboelfetouh, A., Riad, A., Schaal, S., and El-Baz, A.: Classification of retinal diseases based on OCT Images, Frontiers in Bioscience, Landmark, vol. 23, pp. 247-264, January 2018.
[67] El-Gamal, F., Elmogy, M., Ghazal, M., Atwan, A., Casanova, M., Barnes, G., El-Baz, A., and Hajjdiab, H.: Medical imaging diagnosis of early Alzheimer's disease, Frontiers in Bioscience, Landmark, vol. 23, pp. 671-725, January 2018.
[68] Mohammed, K., Tobla, A. S., and Elmogy, M.: Multimodal student attendance management system (MSAMS), Ain Shams Engineering Journal, vol. 9, no. 4, pp. 2917-2920, December 2018.
[69] Mohammed, K., Tobla, A. S., and Elmogy, M.: Multimodal Wireless System for Instant Quizzing and Feedback, Mansoura journal for computer and information sciences, 2018.
[70] Goweda, A. F., Elmogy, M., and Barakat, S.: A Wrapper Feature Selection Technique for Improving Diagnosis of Breast Cancer, Mansoura journal for computer and information sciences, 2018.
[71] Adel, E., El-Sappagh, S., Barakat, S. and Elmogy, M.: A semantic interoperability framework for distributed electronic health record based on fuzzy ontology, Int. J. Medical Engineering and Informatics (Accepted).
[72] Eman Mohamed, Enhanced technique for Arabic handwriting recognition using deep belief network and a morphological algorithm for solving ligature segmentation (2018) ETRI Journal
[73] Attia, M. W., Abou-Chadi, F. E.-Z., Moustafa, H. E., Mekky, N., “Feature Extraction Techniques of Ultrasound Kidney Images: A study of Performance,” Journal of Convergence Information Technology (JCIT), vol. 13, no. 2, pp.1-8 , June 2018.
[74] Khaled, H., Mekky, N., Atwan, A., Soliman, H., “Osteoporosis Detection Using Combined Texture Features of Proximal Femur Radiographs,” Mansoura Journal for Computer and Information Sciences, (MUJCIS).
[75] Elkhateeb, E., Mekky, N., Atwan, A., Soliman, H., “Current Trends and Future Directions in Sea-Land Segmentation for Remote Sensing Images,” Mansoura Journal for Computer and Information Sciences (MUJCIS).
[76] Elazab, N., Mekky, N., Atwan, A., Soliman, H., “An Enhanced Real-Time Shadow Rendering Technique in Outdoor Augmented Reality,” Mansoura Journal for Computer and Information Sciences, (MUJCIS).
[77] Nehal A. Sakr, Mervat Abu-Elkheir, A. Atwan, H. H. Soliman, “Current Trends in Complex Human Activity Recognition”, Journal of Theoretical and Applied Information Technology, Vol. 96. No 14, PP. 4564-4583, 2018.
[78]
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2017
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[79] Eissa, M., Elmogy, M., and Hashem, M.: Rough-Mereology Framework for Making Medical Treatment Decisions Based on Granular Computing, Informatica, vol. 40, no. 3, pp. 343-352, December 2016.
[80] Eissa, M., Elmogy, M., and Hashem, M.: Rough-Mereology Framework for Making Medical Treatment Decisions Based on Granular Computing, Informatica, vol. 40, no. 3, pp. 343-352, December 2016.
[81] Ali, H., Elmogy, M., Barakat, S.: A Big Data Processing Framework Based on MAPREDUCE with Application to Internet of Things, Ciência e Técnica Vitivinícola, vol. 31, no. 7, pp. 2-27, 2016.
[82] El-Sappagh, S., Elmogy, M.: Medical Case Based Reasoning Frameworks: Current Developments and Future Directions, International Journal of Decision Support System Technology, vol. 8, no. 3, pp. 31-62, 2016.
[83] Elhefiny, M. A., Elmogy, M., Elfetouh, A. A., Badria, F. A.: FOORC: A Fuzzy Ontology-Based Representation for Obesity Related Cancer Knowledge, International Journal of Intelligent Computing and Information Science, vol. 16, no. 3, pp. 15-36, 7-2016.
[84] Fouda, H., Elmogy, M., Aboelfetouh, A., Maaty, A. R.: Fuzzy Ontology-Based Analysis of Sensor Network Data Streaming, Ciência e Técnica Vitivinícola, vol. 31, no. 6, pp. 144-161, 2016.
[85] El-Sappagh, S., Elmogy, M.: A Decision Support System for Diabetes Mellitus Management, Diabetes Case Reports, vol. 1, no. 1, pp.1-13, 2016.
[86] El-Sappagh, S., Elmogy, M.: An Encoding Methodology for Medical Knowledge Using SNOMED CT Ontology, Journal of King Saud University - Computer and Information Sciences, vol. 28, Issue 3, pp. 311–329 2016.
[87] Adbrabo, M., Elmogy, M., Eltaweel, G., Barakat, S.: Enhancing Big Data Value Using Knowledge Discovery Techniques, International Journal of Information Technology and Computer Science, vol. 8, no. 12, pp. 1-12, 2016.
[88] Eissa, M., Elmogy, M., Hashem, M.: Rough – Granular Computing Knowledge Discovery Models for Medical Classification, Egyptian Informatics Journal, Egyptian Informatics Journal, Vol. 17, Issue 3, pp. 265-272, November 2016, http://dx.doi.org/10.1016/j.eij.2016.01.001
[89] El-Gamal, F. A., Elmogy, M., Atwan, A.: Current trends in medical image registration and fusion, Egyptian Informatics Journal, vol. 17, no. 1, pp. 99-124, 2016.
[90] An Ontology Based Crawler for Retrieving Information Distributed on the Web. Journal of Engineering Research and Application. ISSN: 2248-9622, Vol. 6, Issue 6, (Part -2) June 2016, pp.57-63.
[91] Performance Analysis of an Ontology Based Crawler Operating in a Distributed Environment. International Journal of Scientific Research in Science &Technology. ISSN: 2395-6011, Vol. 2, Issue 3, June 2016, pp.334-339.
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2016
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[92] Eissa, M., Elmogy, M., and Hashem, M.: Rough-Mereology Framework for Making Medical Treatment Decisions Based on Granular Computing, Informatica, vol. 40, no. 3, pp. 343-352, December 2016.
[93] Eissa, M., Elmogy, M., and Hashem, M.: Rough-Mereology Framework for Making Medical Treatment Decisions Based on Granular Computing, Informatica, vol. 40, no. 3, pp. 343-352, December 2016.
[94] Ali, H., Elmogy, M., Barakat, S.: A Big Data Processing Framework Based on MAPREDUCE with Application to Internet of Things, Ciência e Técnica Vitivinícola, vol. 31, no. 7, pp. 2-27, 2016.
[95] El-Sappagh, S., Elmogy, M.: Medical Case Based Reasoning Frameworks: Current Developments and Future Directions, International Journal of Decision Support System Technology, vol. 8, no. 3, pp. 31-62, 2016.
[96] Elhefiny, M. A., Elmogy, M., Elfetouh, A. A., Badria, F. A.: FOORC: A Fuzzy Ontology-Based Representation for Obesity Related Cancer Knowledge, International Journal of Intelligent Computing and Information Science, vol. 16, no. 3, pp. 15-36, 7-2016.
[97] Fouda, H., Elmogy, M., Aboelfetouh, A., Maaty, A. R.: Fuzzy Ontology-Based Analysis of Sensor Network Data Streaming, Ciência e Técnica Vitivinícola, vol. 31, no. 6, pp. 144-161, 2016.
[98] El-Sappagh, S., Elmogy, M.: A Decision Support System for Diabetes Mellitus Management, Diabetes Case Reports, vol. 1, no. 1, pp.1-13, 2016.
[99] El-Sappagh, S., Elmogy, M.: An Encoding Methodology for Medical Knowledge Using SNOMED CT Ontology, Journal of King Saud University - Computer and Information Sciences, vol. 28, Issue 3, pp. 311–329 2016.
[100] Adbrabo, M., Elmogy, M., Eltaweel, G., Barakat, S.: Enhancing Big Data Value Using Knowledge Discovery Techniques, International Journal of Information Technology and Computer Science, vol. 8, no. 12, pp. 1-12, 2016.
[101] Eissa, M., Elmogy, M., Hashem, M.: Rough – Granular Computing Knowledge Discovery Models for Medical Classification, Egyptian Informatics Journal, Egyptian Informatics Journal, Vol. 17, Issue 3, pp. 265-272, November 2016, http://dx.doi.org/10.1016/j.eij.2016.01.001
[102] El-Gamal, F. A., Elmogy, M., Atwan, A.: Current trends in medical image registration and fusion, Egyptian Informatics Journal, vol. 17, no. 1, pp. 99-124, 2016.
[103] An Ontology Based Crawler for Retrieving Information Distributed on the Web. Journal of Engineering Research and Application. ISSN: 2248-9622, Vol. 6, Issue 6, (Part -2) June 2016, pp.57-63.
[104] Performance Analysis of an Ontology Based Crawler Operating in a Distributed Environment. International Journal of Scientific Research in Science &Technology. ISSN: 2395-6011, Vol. 2, Issue 3, June 2016, pp.334-339.
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2015
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[105] Aly, H., Elmogy, M., Barakat, S.: Big Data on Internet of Things: Applications, Architecture, Technologies, Techniques, and Future Directions, International Journal of Computer Science Engineering (IJCSE), Vol. 4, No.06, pp. 300-313, Nov 2015.
[106] El-Sappagh, S., Elmogy, M.: Case Based Reasoning: Case Representation Methodologies, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 6, No. 11, pp. 192-208, 2015.
[107] Ismail, A., Elmogy, M., and ElBakry, H.: Landmines Detection Using Low-Cost Multisensory Mobile Robot, JCIT: Journal of Convergence Information Technology, Vol. 10, No. 6, pp. 51- 60, 2015.
[108] Helal, M. E., Elmogy, M., and Al-Awady, R. M.: Using Rough Set and Boosting Ensemble Techniques to Enhance Classification Performance of Hepatitis C Virus, International Journal of Intelligent Computing and Information Sciences, vol.15, no. 2, pp. 45-59, APRIL 2015.
[109] Shoaip, N., Elmogy, M., Riad, A., and Badria, F.: Missing Data Treatment Using Interval-valued Fuzzy Rough Sets with SVM, International Journal of Advancements in Computing Technology (IJACT), vol. 7, no. 5, pp. 37-48, September 2015.
[110] Adel, E., Elmogy, M., and Elbakry, H.: Image Stitching System Based on ORB Feature Based Technique and Compensation Blending, International Journal of Advanced Computer Science and Applications, vol. 6, no. 9, pp. 55-62, 2015.
[111] Alkhawlani, M., Elmogy, M., and Elbakry, H.: Content-Based Image Retrieval using Local Features Descriptors and Bag-of-Visual Words, International Journal of Advanced Computer Science and Applications, vol. 6, no. 9, pp. 55-62, 2015.
[112] Ali, H., Elmogy, M., El-Daydamony, E., and Atwan, A.: Multi-resolution MRI Brain Image Segmentation Based on Morphological Pyramid and Fuzzy C-mean Clustering, Arabian Journal for Science and Engineering, vol. 40, no. 11, pp. 3173-3185, November 2015.
[113] Ali, H., Elmogy, M., El-Daydamony, E., and Atwan, A.: MRI Brain Image Segmentation Based on Cascaded Fractional-Order Darwinian Particle Swarm Optimization and Mean Shift, International Journal of Intelligent Computing and Information Science, Vol.15, No. 1, pp. 71-83, January 2015.
[114] El-Sappagh, S., Elmogy, M., Riad, A.: A fuzzy-ontology oriented case-based reasoning framework for semantic diabetes diagnosis, Artificial Intelligence in Medicine, vol. 65, pp. 179-208, 2015.
[115] Shehab, A., Elmogy, M., and Riad, A.: Dynamic Prefetching Scheme for P2P Video Delivery Systems, International Journal of Advances in Information Sciences and Service Sciences (AISS), vol. 7, no. 3, pp.19-30, June 2015.
[116] Zaied, A., Elmogy, M., and Abd Elkader, S.: Electronic Health Records: Applications, Techniques and Challenges, International Journal of Computer Applications, vol. 119, no.14, pp. 38-49, June 2015.
[117] Alhamzi, K., Elmogy, M., and Barakat, S.: 3D Object Recognition Based on Local and Global Features Using Point Cloud Library, International Journal of Advancements in Computing Technology (IJACT), vol. 7, no. 3, pp. 43-54, May 2015.
[118] Hassan, T., Elmogy, M., and Sallam, E.: Medical Image Segmentation for Liver Diseases: A Survey, International Journal of Computer Applications, vol. 118, n. 19, pp. 38-44, May 2015.
[119] Abdel-Maksoud, E., Elmogy, M., and Al-Awadi, R. M.: Brain Tumor Segmentation Based on a Hybrid Clustering Technique, Egyptian Informatics Journal, Elsevier, vol. 16, no. 1, pp. 71-81, 2015.
[120] El-Sappagh, S., Elmogy, M., and Riad, A. M.: A CBR system for Diabetes Mellitus Diagnosis: Case-Base Standard Data Model, International Journal of Medical Engineering and Informatics, Inderscience Publishers, vol. 7, no. 3, pp. 191-208, 2015.
[121] Alkhawlani, M., Elmogy, M., and El-Bakry, H.: Text-based, Content-based, and Semantic-based Image Retrievals: A Survey, International Journal of Computer and Information Technology, Vol. 04, Issue 01, pp. 58-66, January 2015.
[122] Eman Mohamed, MRI Brain Image Segmentation Based on Cascaded Fractional- Order Drawinian Particle Swarm Optimization and Mean Shift (2015) International Journal of Intelligent Computing and Information Science
[123] Eman Mohamed, Iris and Finger Vein Multimodel Recognition System Based on SIFT Features (2015) International Journal of Intelligent Computing and Information Science
[124] El-Gayar, M. M., Mekky, N., Atwan, A., “Efficient Proposed Framework for Semantic Search Engine using New Semantic Ranking Algorithm,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 6, no. 8, pp. 136-143, 2015.
[125] Attia, M. W., Abou-Chadi, F. E.-Z., Moustafa, H. E., Mekky, N., “Classification of Ultrasound Kidney Images using PCA and Neural Networks,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 6, no. 4, pp. 53-57, April 2015.
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2014
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[126] Hussein, H., Elmogy, M., and Guirguis, S.: Automatic English Question Generation System Based on Template Driven Scheme, International Journal of Computer Science Issues (IJCSI), Vol. 11, Issue 6, No. 1, pp. 45-53, November 2014.
[127] Shehab, A. I., Elmogy, M., Riad, A. M.: Performance Analysis for Video Delivery over Mobile Wimax, International Journal of Intelligent Computing and Information Science, Vol.14, No4 OCTOBER 2014.
[128] Ismail, A., Elmogy, M., ElBakry, H.: Landmines Detection Using Autonomous Robots: A Survey, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Vol. 3, no. 4, pp. 183-187, July-August 2014.
[129] Adel, E., Elmogy, M., and Elbakry, H.: Image Stitching based on Feature Extraction Techniques: A Survey, International Journal of Computer Applications Vol. 99, no. 6, pp. 1-8, August 2014.
[130] El-Sappagh, S., El-Masri, S., Elmogy, M., Riad, A. M., and Saddik, B.: An Ontological Case Base Engineering Methodology for Diabetes Management, Journal of Medical Systems, Vol. 38, no. 8, pp. 1-14, Springer US, 2014.
[131] Alhamzi, K., Elmogy, M., and Barakat, S.: 3D Object Recognition Based on Image Features: A Survey, International Journal of Computer and Information Technology (IJCIT), Vol. 3, Issue 03, pp. 651-660, May 2014.
[132] Elbayoumy, M., Elmogy, M., Abouelfetouh, A., and Elhadary, R.: A Proposed Technique for Hiding Data Into Video Files, International Journal of Computer Science Issues (IJCSI), Vol. 11, Issue 2, No. 2, pp. 68-77, March 2014.
[133] Eman Mohamed, Multi Model Biometric Identification System: Finger Vein and Iris (2014) International Journal of Soft Computing and Engineering (IJSCE)
[134] Kassem, M. A., Mekky, N. E., El-Awady, R. M., “An Enhanced ATM Security System Using Multimodal Biometric Strategy,” International Journal of Electrical & Computer Sciences (IJECS-IJENS), vol. 14, no. 4, pp. 9-16, August 2014.
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2013
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[135] Noha A. Hikal, Fatma Elgamal, FEZ. Abou-Chadi, Secret Medical Image Sharing and EPR Data Embedding Scheme over Cloud Computing Environment.
[136] Hikal Noha A, Abou-Chadi,Fatma E-ZA Elgamal, Secure medical images sharing over cloud computing environment.
[137] Noha A. Hikal, A Comparative Evaluation Study of Automated Gait Recognition based on Spatiotemporal Feature and Different Neural Network Classifiers.
[138] Eman Mohamed, Adaptive Variable-size Search Window based on SURF (2013) International Journal of Multimedia and Ubiquitous Engineering.
[139] El-Gayar, M. M., H. Soliman, and Meky, N., “A Comparative Study of Image Low Level Feature Extraction Algorithms,” Egyptian Informatics Journal. vol. 14, no. 2, pp. 175–181, August 2013.
[140] H. H. Soliman, Noha A. Hikal, Nehal A. Sakr, “An Anomaly-Based Intrusion Detection System for Wireless Sensor Network Using Support Vector Machine and Wavelets”, International Journal of Intelligent Computing and Information Science, Vol. 13, No. 2, PP. 133-144, 2013.
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2012
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[141] Soliman HH, Sakr Nehal A, Hikal Noha A, A comparative performance evaluation of intrusion detection techniques for hierarchical wireless sensor networks”
[142] Eman Mohamed, Efficient combined security system for wireless sensor network (2012) Egyptian Informatics Journal
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2011
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[143] Prof. Roumen Kountchev, Noha A. Hikal, Skin Color Segmentation Using Adaptive PCA and Modified Elliptic Boundary Model.
[144] Mekky, N., Abou-Chadi, F. E.-Z., and Kishk, S., "Wavelet-Based Image Registration Techniques: A Study of Performance," International Journal of Computer Science and Network Security (IJCSNS), Korea, vol. 11. no.2, pp. 188-196, February 2011.
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2010
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[145] Noha A. Hikal, Ali E. Taki Eldeen, Microcontroller application in Cryptography Techniques.
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