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Browsing by Subject "machine learning"
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Ibrayev, Timur; James, Alex Pappachen; Merkel, Cory; Kudithipudi, Dhireesha
(Institute of Electrical and Electronics Engineers Inc., 2016-07-29)
Hierarchical Temporal Memory (HTM) is a machine learning algorithm that is inspired from the working principles of the neocortex, capable of learning, inference, and prediction for bit-encoded inputs. Spatial pooler is an ...
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Salimova, Rashida; Pourafshary, Peyman; Wang, Lei
(Applied Sciences, 2021-07)
Low salinity water (LSW) injection is a promising Enhanced Oil Recovery (EOR) techniquethat has the potential to improve oil recovery and has been studied by many researchers. LSWflooding in carbonates has been widely ...
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Jyeniskhan, Nursultan
(School of Engineering and Digital Sciences, 2023)
Additive manufacturing and digital twin concept are both important pillar technologies for fourth
industrial revolution. The additive manufacturing method is being appealing by many highperformance
industries owing to ...
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Bayramov, Emil; Buchroithner, Manfred; Kada, Martin
(Taylor & Francis Open Access, 2020-12-07)
The primary objective of these studies was to quantitatively assess the ground deformation velocities and rates and their natural and man-made controlling factors as the potential risks along the seismically active 70 km ...
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Mirasbekov, Yersultan; Zhumakhanova, Adina; Zhantuyakova, Almira; Sarkytbayev, Kuanysh; Malashenkov, Dmitry V.; Baishulakova, Assel; Dashkova, Veronika; Davidson, Thomas A.; Vorobjev, Ivan A.; Jeppesen, Erik; Barteneva, Natasha S.
(Nature Research, 2021-04-30)
A machine learning approach was employed to detect and quantify Microcystis colonial morphospecies using FlowCAM-based imaging flow cytometry. The system was trained and tested using samples from a long-term mesocosm ...
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Darimbekov, Zhanibek
(Nazarbayev University School of Engineering and Digital Sciences, 2022-05)
Gait is the walking posture and dynamics of a person and is considered a unique
biometric of a person. Based on this biometric and using various algorithms one can
recognize the person’s identity with high precision. ...
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Park, Seongyong; Lee, Jaeseok; Khan, Shujaat; Wahab, Abdul; Kim, Minseok
(MDPI AG, 2021-11-30)
Surface-Enhanced Raman Spectroscopy (SERS)-based biomolecule detection has been
a challenge due to large variations in signal intensity, spectral profile, and nonlinearity. Recent
advances in machine learning offer great ...
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Park, Seongyong; Lee, Jaeseok; Khan, Shujaat; Wahab, Abdul; Kim, Minseok
(MDPI, 2021-11-30)
Surface-Enhanced Raman Spectroscopy (SERS)-based biomolecule detection has been a challenge due to large variations in signal intensity, spectral profile, and nonlinearity. Recent advances in machine learning offer great ...
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Sarbassov, Assylbek
(Nazarbayev University School of Engineering and Digital Sciences, 2022-05)
Over the last twenty years, steganography has attracted in the consideration of numerous
information security specialists who analyzes and identifies possible threats
of information security. In contrast to encryption, ...
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Okhassov, Timur
(School of Engineering and Digital Sciences, 2023)
In today’s technological world the amount of textual data is growing dramatically. With that, databases, libraries, bookstores, and private storage are increasing with demand. Many upcoming and new books and articles need ...