Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zahirazami, Shauheen"'
Autor:
Ahmed, Zeeshan, Amizadeh, Saeed, Bilenko, Mikhail, Carr, Rogan, Chin, Wei-Sheng, Dekel, Yael, Dupre, Xavier, Eksarevskiy, Vadim, Erhardt, Eric, Eseanu, Costin, Filipi, Senja, Finley, Tom, Goswami, Abhishek, Hoover, Monte, Inglis, Scott, Interlandi, Matteo, Katzenberger, Shon, Kazmi, Najeeb, Krivosheev, Gleb, Luferenko, Pete, Matantsev, Ivan, Matusevych, Sergiy, Moradi, Shahab, Nazirov, Gani, Ormont, Justin, Oshri, Gal, Pagnoni, Artidoro, Parmar, Jignesh, Roy, Prabhat, Shah, Sarthak, Siddiqui, Mohammad Zeeshan, Weimer, Markus, Zahirazami, Shauheen, Zhu, Yiwen
Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate trained models to encode data-based decisions that would be impossible
Externí odkaz:
http://arxiv.org/abs/1905.05715
Autor:
Zahirazami, Shauheen
The recent developments in biological experiments have awarded the research community with valuable information, which describe finely regulated systems that govern the cell dynamics. One of the greatest challenges, however, remains to represent this
Autor:
Zahirazami, Shauheen
In this thesis, switching control of linear time-invariant systems using generalized sampled-data hold functions (GSHF) is investigated. It is assumed that the plant model belongs to a finite set of known plants. The output of the system is periodica
Externí odkaz:
http://spectrum.library.concordia.ca/8635/1/MR10258.pdf
Publikováno v:
In European Journal of Control 2006 12(5):483-499
