يعرض 1 - 20 نتائج من 62 نتيجة بحث عن '"Elgammal, Mohamed A."', وقت الاستعلام: 0.46s تنقيح النتائج
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    Academic Journal

    المساهمون: Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Electrical and Computer Engineering Program, Sensors Lab, Department of Electronics, German University in Cairo (GUC), New Cairo, Egypt, Department of Electronics and Communications Engineering, Cairo University, Giza, Egypt

    وصف الملف: application/pdf

    Relation: https://ieeexplore.ieee.org/document/9427493/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9427493; Elhosary, H., Zakhari, M. H., Elgammal, M. A., Helal Kelany, K. A., Abd El Ghany, M. A., Salama, K. N., & Mostafa, H. (2021). Hardware Acceleration of High Sensitivity Power-Aware Epileptic Seizure Detection System Using Dynamic Partial Reconfiguration. IEEE Access, 1–1. doi:10.1109/access.2021.3079155; 2-s2.0-85105843347; IEEE Access; 1-1; http://hdl.handle.net/10754/669517

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    Academic Journal
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    Conference

    المؤلفون: Elgammal, Mohamed A., Betz, Vaughn

    المصدر: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies

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    Conference

    المصدر: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies

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    Academic Journal
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    Academic Journal
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  8. 8
    Academic Journal

    المساهمون: National Science Foundation, Vector Institute for AI, Intel/VMWare Crossroads 3D FPGA Academic Research Center

    المصدر: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ; volume 42, issue 11, page 3895-3909 ; ISSN 0278-0070 1937-4151

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    Conference
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    Academic Journal

    المساهمون: NSERC/Intel Industrial Research Chair in Programmable Silicon, Intel/VMware Crossroads 3-D FPGA Academic Research Centre, Huawei, Google

    المصدر: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ; volume 41, issue 8, page 2532-2545 ; ISSN 0278-0070 1937-4151

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    Academic Journal
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    Conference

    المساهمون: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Electrical Engineering Program, Department of Electronics and Communications Engineering, Cairo University, , Egypt, Department of Electronics and Communications Engineering, American University in Cairo (AUC), , Egypt, Department of Electronics Engineering, German University in Cairo(GUC), , Egypt, Communication and Information Engineering Department, Zewail City of Science and Technology, , Egypt, Nanotechnology Department, Zewail City of Science and Technology, , Egypt

    مصطلحات موضوعية: EEG, Linear features, Nonlinear features, Seizure, SVM

    Relation: https://ieeexplore.ieee.org/document/8624031; Elgammal MA, Elkhouly OA, Elhosary H, Elsayed M, Mohieldin AN, et al. (2018) Linear and Nonlinear Feature Extraction for Neural Seizure Detection. 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS). Available: http://dx.doi.org/10.1109/MWSCAS.2018.8624031.; 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS); http://hdl.handle.net/10754/652979

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    Conference

    المساهمون: Electrical Engineering Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Electronics and Communications Engineering Department, Cairo University, Gize, 12613, Egypt

    Relation: https://ieeexplore.ieee.org/document/8884989/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8884989; Elgammal, M. A., Mostafa, H., Salama, K. N., & Nader Mohieldin, A. (2019). A Comparison of Artificial Neural Network(ANN) and Support Vector Machine(SVM) Classifiers for Neural Seizure Detection. 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS). doi:10.1109/mwscas.2019.8884989; http://hdl.handle.net/10754/660444

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    Conference
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    Conference
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    Academic Journal

    المساهمون: Electrical Engineering Program, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Department of Electronics, German University in Cairo (GUC), Egypt, Department of Electronics and Communications Engineering, Cairo University, Egypt

    Relation: https://ieeexplore.ieee.org/document/8867922/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8867922; Elhosary, H., Zakhari, M. H., ElGammal, M. A., Abd Elghany, M., Salama, K., & Mostafa, H. (2019). Low-Power Hardware Implementation of a Support Vector Machine Training and Classification for Neural Seizure Detection. IEEE Transactions on Biomedical Circuits and Systems, 1–1. doi:10.1109/tbcas.2019.2947044; IEEE Transactions on Biomedical Circuits and Systems; http://hdl.handle.net/10754/658642

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    Academic Journal

    المؤلفون: Murray, Kevin E.1 (AUTHOR), Elgammal, Mohamed A.1 (AUTHOR), Betz, Vaughn1 (AUTHOR), Ansell, Tim2 (AUTHOR), Rothman, Keith2 (AUTHOR), Comodi, Alessandro3 (AUTHOR)

    المصدر: IEEE Micro. Jul/Aug2020, Vol. 40 Issue 4, p49-57. 9p.

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