Find Research Outputs — Nazarbayev University

Mahmud, M. M., Zaman, S., Perveen, A., Jahan, R. A., Islam, M. F. & Arafat, M. T., Feb 2020, In : Journal of Drug Delivery Science and Technology. 55, 101386.

Research output: Contribution to journal › Article

Nanofibers

Curcumin

Polyvinyl Alcohol

Hot Temperature

Temperature

Conversion and Textualization in Islamic Society: The Legendary Biographical Traditions of Nasir-i Khusraw (provisional title)

Beben, D., 2020, (In preparation)

Research output: Book/Report › Book

Deep-learning-based approach for outdoor electrical insulator inspection

Pernebayeva, D. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 81-88 8 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Insulator

Inspection

Electric power transmission networks

Learning

Power transmission

Deep learning theory simplified

Bakambekova, A. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 41-55 15 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Learning Theory

Learning

Neural Networks

Training Algorithm

Augmented Reality

Deep neuro-fuzzy architectures

Dorzhigulov, A. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 195-213 19 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Fuzzy Logic

Neuro-fuzzy

Fuzzy logic

Brain

Aptitude

Dual feasible direction-finding nonlinear programming combined with metaheuristic approaches for exact overcurrent relay coordination

Darabi, A., Bagheri, M. & Gharehpetian, G. B., Jan 1 2020, In : International Journal of Electrical Power and Energy Systems. 114, 105420.

Research output: Contribution to journal › Article

Nonlinear programming

1 Downloads (Pure)

Effect of Fine Particles on Strength and Stiffness of Cement Treated Sand

Moon, S-W., Vinoth, G., Subramanian, S., Kim, J. & Ku, T., 2020, In : Granular Matter. 22, 9

Research output: Contribution to journal › Article

Open Access

File

cements

sands

stiffness

Cements

Sand

Enhanced catalytic reduction of aqueous bromate by metal-organic framework Ni(HBTC)(4,4'-bipy) in the presence of NaBH4

Nurlan, N. & Lee, W., 2020, (Submitted).

Research output: Contribution to conference › Abstract

Enhanced reduction of doxycycline by sucrose-modified nZVI

Akmanova, A., Babaa, M-R. & Lee, W., 2020, (Submitted).

Research output: Contribution to conference › Abstract

Foul-Weather Friends: Reinterpreting Jewish-Christian Urban Interaction in the Final Decades of the Polish-Lithuanian Commonwealth

Murphy, C., 2020, (Accepted/In press) In : Polin: Studies in Polish Jewry. 33

Research output: Contribution to journal › Article

Gender equality, education, and development: Tensions between global, national, and local policy discourses in postcolonial Contexts

Durrani, N. & Halai, A., 2020, (Accepted/In press) Grading goal four: Tensions, threats and opportunities in the sustainable development goal on quality education. Wulff, A. (ed.). Leiden, The Netherlands: Sense Publishers

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

equality

discourse

gender

education

modernity

Getting started with TensorFlow deep learning

Toleubay, Y. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 57-67 11 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Boidae

Python

Open Source Software

Recurrent Neural Networks

Digit

Halide-induced dissolution of lead(IV) oxide in frozen solution

Menacherry, S. P., Jeong, D., Aravindakumar, C. T., Lee, C. T., Lee, W. & Choi, W., 2020, In : Journal of Hazardous Materials. 384, p. 121298 384.

Research output: Contribution to journal › Article

HTM theory

Dauletkhanuly, Y., Krestinskaya, O. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 169-180 12 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Data storage equipment

Learning

Data Classification

Prediction

Cognition

1 Citation (Scopus)

Idealized Sine Wave Approach to Determine Arrival Times of Shear Wave Signals Using Bender Elements

Khan, Q., Moon, S-W. & Ku, T., Jan 2020, In : Geotechnical Testing Journal. 43, 1, 20170121.

Research output: Contribution to journal › Article

Shear waves

arrival time

S-wave

Soils

Travel time

Internationalization as a Mechanism of Higher Education Modernization in Kazakhstan

Kuzhabekova, A., 2020, (Accepted/In press) Handbook of Internationalization of Higher Education in Asia and the Pacific.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

Introduction to neuro-memristive systems

James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 3-12 10 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Memristors

Hardware

Equipment and Supplies

Computing

Availability

Ismailism in Badakhshan: A Genealogical History

Beben, D., Gross, J-A. & Mamadsherzodshoev, U., 2020, (In preparation)

Research output: Book/Report › Book

Learning algorithms and implementation

Krestinskaya, O. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 91-102 12 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Learning algorithms

Learning Algorithm

Learning

Hardware

Memristors

Memristive deep convolutional neural networks

Krestinskaya, O. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 131-137 7 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Learning

Neural Networks

Neural networks

Cover

Deep neural networks

Memristive hierarchical temporal memory

Krestinskaya, O., Dolzhikova, I. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 181-194 14 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Nearest Neighbor Method

Feature Extraction

Feature extraction

Encoding

Hardware

Memristive LSTM architectures

Adam, K., Smagulova, K. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 155-167 13 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Analog circuits

Libraries

Hardware

Analog Circuits

Architecture

Memristive threshold logic networks

Dolzhikova, I., Kumar Maan, A. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 117-130 14 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Threshold logic

Logic circuits

Logic

Memristors

Memory architecture

Memristors: Properties, models, materials

Krestinskaya, O., Irmanova, A. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 13-40 28 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Memristors

Equipment and Supplies

Network architecture

Process Variation

Model

Monoethanolamine based DESs for CO₂ absorption: Insights from molecular dynamics simulations

Kussainova, D. & Shah, D., Jan 16 2020, In : Separation and Purification Technology. 231, 115931.

Research output: Contribution to journal › Article

Ethanolamine

Eutectics

Molecular dynamics

Computer simulation

Amines

Multicultural Citizenship : 25 Yars Later

Caron, J-F. & Boucher, F., Sep 1 2020, (In preparation)

Research output: Book/Report › Scholarly edition

Multi-level memristive memory for neural networks

Irmanova, A., Myrzakhmet, S. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 103-116 14 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Memristors

Neural Networks

Neural networks

Data storage equipment

Equipment and Supplies

Nils Hanson and Jonathan Wistrand, Explorations in Baltic Medical History (2019)

Murphy, C., 2020, In : Canadian Slavonic Papers.

Research output: Contribution to journal › Review article

Novel nanostructured iron oxide cryogels for arsenic (As(III)) removal

Otero-González, L., Mikhalovsky, S., Václavíková, M., Trenikhin, M. V., Cundy, A. B. & Savina, I. N., Jan 5 2020, In : Journal of Hazardous Materials. 381, 120996.

Research output: Contribution to journal › Article

Cryogels

Arsenic

Iron oxides

iron oxide

arsenic

Novel silane-treated polyacrylonitrile as a promising negative electrode binder for LIBs

Umirov, N., Moon, S., Park, G., Kim, H. Y., Lee, K. J. & Kim, S. S., Jan 30 2020, In : Journal of Alloys and Compounds. 815, 152481.

Research output: Contribution to journal › Article

Silanes

Polyacrylonitriles

Binders

Electrodes

Anodes

Overview of long short-term memory neural networks

Smagulova, K. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 139-153 15 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Long-Term Memory

Memory Term

Recurrent neural networks

Short-Term Memory

Neural Networks

Performance evaluation of newly developed true triaxial stress loading and pore pressure applying system to simulate the reservoir depletion and injection

Atapour, H. & Mortazavi, A., May 1 2020, In : Geotechnical Testing Journal. 43, 3, GTJ20180161.

Research output: Contribution to journal › Article

Pore pressure

pore pressure

in situ stress

Mechanical testing

simulation

Photoluminescence quenching of WS₂ nanoflakes upon Ga ion irradiation

Bozheyev, F., Nemkayeva, R., Guseinov, N., Kaikanov, M. & Tikhonov, A., Jan 2020, In : Journal of Luminescence. 217, 116786.

Research output: Contribution to journal › Article

Ion bombardment

ion irradiation

Ion beams

Dosimetry

Quenching

Poly-L-arginine modifications alter the organization and secretion of collagen in SKH1-E mice

Boddupalli, A., Akilbekova, D. & Bratlie, K. M., Jan 1 2020, In : Materials Science and Engineering C. 106, 110143.

Research output: Contribution to journal › Article

Arginine

secretions

collagens

Collagen

mice

Preface

James Pappachen, A., Jan 1 2020, In : Modeling and Optimization in Science and Technologies. 14, p. vii

Research output: Contribution to journal › Editorial

Sacred Geographies in the Eurasian Steppes: Aqkol shrine as a symbol of Kazakh ethnicity and religiosity

Bigozhin, U., Dec 1 2020, (Unpublished) In : Folklore (Estonia).

Research output: Contribution to journal › Article

civil religion

Kazakhstan

cultural heritage

national identity

symbol

Speech recognition application using deep learning neural network

Izbassarova, A., Duisembay, A. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 69-79 11 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Neural Networks (Computer)

Speech Recognition

Speech recognition

Neural Network Model

Learning

Stability of Sn-Pd-Kaolinite catalyst during heat treatment and nitrate reduction in continuous flow Reaction

Golagana, S., Hamid, S., Han, S., Lee, G., Babaa, M-R. & Lee, W., 2020, In : Chemosphere. 241, p. 125115 241.

Research output: Contribution to journal › Article