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Browsing by Subject "Machine learning"
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Soleimani, Hossein; Tomasin, Stefano; Alizadeh, Tohid; Shojafar, Mohammad
(Physical Communication, 2017-12-01)
Abstract Time-reversal prefiltering (TRP) technique for impulse radio (IR) ultra wide-band (UWB) systems requires a large amount of feedback to transmit the channel impulse response from the receiver to the transmitter. ...
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Merembayev, Timur; Kurmangaliyev, Darkhan; Bekbauov, Bakhbergen; Amanbek, Yerlan
(MDPI AG, 2021-03-29)
Defining distinctive areas of the physical properties of rocks plays an important role in reservoir evaluation and hydrocarbon production as core data are challenging to obtain from all wells. In this work, we study the ...
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Mashekova, Aigerim; Zhao, Yong; Ng, Eddie Y.K.; Zarikas, Vasilios; Fok, Sai Cheong; Mukhmetov, Olzhas
(Thermal Science and Engineering Progress, 2021)
Breast cancer is one of the most common and deadly diseases in women, which can also affect men. Early
detection and treatment of this disease can increase the chances of cure. Currently, there are many different ...
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Karimov, Shyngys; Konings, Jozef
(International Economics and Economic Policy, 2021-08-21)
This paper explores the impact of the COVID-19 lockdown on aggregate employment in Belgium. To this end, we use microdata of all Belgian frms and apply a
machine learning-based approach to simulate the impact of the ...
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Ongarbayev, Ilyas; Madani, Nasser
(APCOM 2021, 2021-09)
3D modelling of geological domains is an essential part of orebody modelling and
resource classification. Conventionally, one applies a wireframing technique, which, in
practice, is quite laborious. An automatic approach ...