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101دورية أكاديمية
المؤلفون: Yakopcic, Chris
المصدر: Graduate Theses and Dissertations
مصطلحات موضوعية: Memristors Testing, Electric circuits, Nonlinear Testing, Passive components Testing, Nanoelectronics
العلاقة: https://ecommons.udayton.edu/graduate_theses/385Test; http://rave.ohiolink.edu/etdc/view?acc_num=dayton1311879962Test
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102دورية أكاديمية
المؤلفون: Yakopcic, Chris, Taha, Tarek M., Subramanyam, Guru
المصدر: Electrical and Computer Engineering Faculty Publications
مصطلحات موضوعية: memristors, semiconductor device models, memristor device model, memristor-based neuromorphic system, Conductivity, Integrated circuit modeling, Mathematical model, Memristors, Neuromorphics, Simulation, Threshold voltage, Device model, memristive, memristor, simulation, Computer Engineering, Electrical and Computer Engineering, Electronic Devices and Semiconductor Manufacturing, Engineering, Nanotechnology Fabrication
العلاقة: https://ecommons.udayton.edu/ece_fac_pub/26Test; http://dx.doi.org/10.1109/LED.2011.2163292Test
الإتاحة: https://doi.org/10.1109/LED.2011.2163292Test
https://ecommons.udayton.edu/ece_fac_pub/26Test -
103كتاب
المؤلفون: Yakopcic, Chris, Taha, Tarek M., Subramanyam, Guru, Pino, Robinson E.
المصدر: Advances in Neuromorphic Memristor Science & Applications; 2012, p211-244, 34p
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104مؤتمر
المؤلفون: Yakopcic, Chris, Sarangan, Andrew, Gao, Jian, Taha, Tarek M., Subramanyam, Guru, Rogers, Stanley
المصدر: Proceedings of the 2011 IEEE National Aerospace & Electronics Conference (NAECON); 1/ 1/2011, p101-104, 4p
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105دورية
المؤلفون: MILBURN, NELDA, GILDEA, KEVIN, BULLOUGH, JOHN D., YAKOPCIC, CHRIS
المصدر: Aviation, Space & Environmental Medicine; Aug2013, Vol. 84 Issue 8, p876-878, 3p
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106دورية أكاديمية
المؤلفون: Alom, Md Zahangir, Taha, Tarek M., Yakopcic, Chris, Westberg, Stefan, Sidike, Paheding, Nasrin, Mst Shamima, Hasan, Mahmudul, Van Essen, Brian C., Awwal, Abdul A. S., Asari, Vijayan K.
المصدر: Electronics (2079-9292); Mar2019, Vol. 8 Issue 3, p292, 1p
مصطلحات موضوعية: DEEP learning, NATURAL language processing, RECURRENT neural networks, COMPUTER vision, REINFORCEMENT learning, ARCHITECTURE