Zobrazeno 1 - 10
of 934
pro vyhledávání: '"HOSSEINI, Reza"'
Autor:
Dev, Sourav, Singh, Karanveer, Hosseini, Reza, Misra, Arijit, Catuneanu, Mircea, Preußler, Stefan, Schneider, Thomas, Jamshidi, Kambiz
A compact device model along with simulations and an experimental analysis of a forward-biasedPNjunction-based silicon Mach-Zehndermodulator (MZM) with a phase-shifter length of 0.5 mm is presented. By placing the PN junction to a certain off-center
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A91928
https://tud.qucosa.de/api/qucosa%3A91928/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A91928/attachment/ATT-0/
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
In recent years, unmanned aerial vehicle (UAV) imaging is a suitable solution for real-time monitoring different vehicles on the urban scale. Real-time vehicle detection with the use of uncertainty estimation in deep meta-learning for the portable pl
Externí odkaz:
http://arxiv.org/abs/2208.04190
Autor:
Hosseini, Reza, Chen, Albert, Yang, Kaixu, Patra, Sayan, Su, Yi, Orjany, Saad Eddin Al, Tang, Sishi, Ahammad, Parvez
Forecasts help businesses allocate resources and achieve objectives. At LinkedIn, product owners use forecasts to set business targets, track outlook, and monitor health. Engineers use forecasts to efficiently provision hardware. Developing a forecas
Externí odkaz:
http://arxiv.org/abs/2207.07788
Autor:
Hosseini, Reza, Tajik, Samin, Lai, Zahra Koohi, Jamali, Tayeb, Haven, Emmanuel, Jafari, G. Reza
We have implemented quantum modeling mainly based on Bohmian Mechanics to study time series that contain strong coupling between their events. We firstly propose how compared to normal densities, our target time series seem to be associated with a hi
Externí odkaz:
http://arxiv.org/abs/2204.11203
Publikováno v:
In Ceramics International 1 September 2024 50(17) Part B:31313-31325
Autor:
Konstantinov, Fedor V.1,2 (AUTHOR) fkonstaninov@gmail.com, Hosseini, Reza3 (AUTHOR)
Publikováno v:
ZooKeys. 2024, Issue 1211, p57-100. 44p.
Publikováno v:
In Computers, Environment and Urban Systems December 2024 114
Publikováno v:
ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - 2021
In real-world applications (e.g., change detection), annotating images is very expensive. To build effective deep learning models in these applications, deep few-shot learning methods have been developed and prove to be a robust approach in small tra
Externí odkaz:
http://arxiv.org/abs/2108.11262