School of Engineering and Digital Sciences

  • Kazakhstan

Research Output 1986 2020

2020

Advances in the catalytic reduction of nitrate by metallic catalysts for high efficiency and N2 selectivity: A review

Tokazhanov, G., Ramazanova, E., Shanawar, H., Bae, S. & Lee, W., 2020, In : Chemical Engineering Journal. 384, p. 123252

Research output: Contribution to journalArticle

1 Citation (Scopus)

A multi-criteria decision-making framework for building sustainability assessment in Kazakhstan

Akhanova, G., Nadeem, A., Kim, J. R. & Azhar, S., Jan 2020, In : Sustainable Cities and Society. 52, 101842.

Research output: Contribution to journalArticle

decision making criterion
Solar wind
Kazakhstan
Sustainable development
solar wind

An Improved Multicriteria Optimization Method for Solving the Electric Vehicles Planning Issue in Smart Grids via Green Energy Sources

Abedinia, O., Lu, M. & Bagheri, M., Jan 1 2020, In : IEEE Access. 8, p. 3465-3481 17 p., 8936328.

Research output: Contribution to journalArticle

Open Access
Electric vehicles
Planning
Scheduling
Pollution
Multiobjective optimization

Aqueous bromate reduction by nZVI supported monometallic catalysts

Ramazanova, E. & Lee, W., 2020, (Accepted/In press).

Research output: Contribution to conferenceAbstract

1 Citation (Scopus)

A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines

Rauf, M., Guan, Z., Sarfraz, S., Mumtaz, J., Shehab, E., Jahanzaib, M. & Hanif, M., Feb 2020, In : Robotics and Computer-Integrated Manufacturing. 61, 101844.

Research output: Contribution to journalArticle

Multicriteria Optimization
Assembly Line
Multi-criteria
Sequencing
Model

Assessment of CO2-EOR and its geo-storage potential in oil reservoirs of Precaspian basin

Seisenbayev, N., Abuov, Y. & Lee, W., 2020, (Accepted/In press).

Research output: Contribution to conferenceAbstract

A study on bond breakage behavior of weak Cretaceous Kazakhstani reservoir sandstone analogue

Kozhagulova, A., Minh, N. H., Zhao, Y. & Fok, S. C., Mar 2020, In : Geomechanics for Energy and the Environment. 21, 100159.

Research output: Contribution to journalArticle

Open Access
breakage
Sandstone
Sand
sandstone
Cretaceous

Bragg gratings and Fabry-Perot interferometers on an Er-MgO-doped optical fiber

Paixão, T., Pereira, L., Min, R., Molardi, C., Blanc, W., Tosi, D., Marques, C. & Antunes, P., Mar 2020, In : Optics and Laser Technology. 123, 105946.

Research output: Contribution to journalArticle

Fabry-Perot interferometers
Bragg gratings
Fiber Bragg gratings
Optical fibers
optical fibers

Catalytic degradation of p-nitrophenol by nZVI supported bimetallic catalysts

Tokazhanov, G. & Lee, W., 2020, (Accepted/In press).

Research output: Contribution to conferenceAbstract

Catalytic reduction of bromate by green nZVI synthesized from onion peel and green tea

Lem, O., Bae, S., Han, S. & Lee, W., 2020, (Submitted).

Research output: Contribution to conferenceAbstract

Characterization of solid char produced from pyrolysis of the organic fraction of municipal solid waste, high volatile coal and their blends

Tokmurzin, D., Kuspangaliyeva, B., Aimbetov, B., Abylkhani, B., Inglezakis, V., Anthony, E. J. & Sarbassov, Y., Jan 15 2020, In : Energy. 191, 116562.

Research output: Contribution to journalArticle

Municipal solid waste
Pyrolysis
Coal
Activation energy
Temperature

CO2 storage capacity of Kazakhstan

Abuov, Y. & Lee, W., 2020, (Accepted/In press).

Research output: Contribution to conferenceAbstract

CO2 storage potential in sedimentary basins of Kazakhstan

Abuov, Y., Seisenbayev, N. & Lee, W., 2020, In : International Journal of Greenhouse Gas Control.

Research output: Contribution to journalArticle

Complex organic fouling and effect of silver nanoparticles on aquaporin forward osmosis membranes

Balkenov, A., Anuarbek, A., Satayeva, A., Kim, J., Inglezakis, V. & Arkhangelsky, E., Apr 2020, In : Journal of Water Process Engineering. 34, 101177.

Research output: Contribution to journalArticle

Osmosis
Osmosis membranes
Aquaporins
Fouling
osmosis

Contamination by As, Hg, and Sb in a region with geogenic As anomaly and subsequent human health risk characterization

Guney, M., Karatas, T., Ozkul, C., Akyol, N. H. & Acar, R. U., Jan 1 2020, In : Environmental Monitoring and Assessment. 192, 1, 50.

Research output: Contribution to journalArticle

Health risks
Arsenic
health risk
arsenic
Contamination
1 Citation (Scopus)

Controlled release of curcumin from electrospun fiber mats with antibacterial activity

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 journalArticle

Nanofibers
Curcumin
Polyvinyl Alcohol
Hot Temperature
Temperature

Countereffect of glutathione on the mercury removal by pumice-supported nanoscale zero-valent iron in the presence of natural organic matter

Qasim, G. H., Nguyen, V., Lee, S., Han, S. & Lee, W., 2020, (Submitted) In : Journal of Hazardous Materials.

Research output: Contribution to journalArticle

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 proceedingChapter

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 proceedingChapter

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 proceedingChapter

Fuzzy Logic
Neuro-fuzzy
Fuzzy logic
Brain
Aptitude

Design method for checking tensile stresses under service loads in cracked prestressed concrete members with 2,400-MPa strands

Joo, H. E., Han, S. J., Lee, D., Ju, H., Seo, S. Y. & Kim, K. S., Jan 1 2020, In : Structural Design of Tall and Special Buildings. 29, 1, e1681.

Research output: Contribution to journalArticle

Prestressing
Prestressed concrete
Tensile stress
Loads (forces)
Cracks

Disturbance observer-based integral sliding mode control for wind energy conversion systems

Suleimenov, K., Sarsembayev, B., Duc Hong Phuc, B. & Do, T. D., Jan 1 2020, (Accepted/In press) In : Wind Energy.

Research output: Contribution to journalArticle

Sliding mode control
Energy conversion
Wind power
Aerodynamics
Torque
4 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 journalArticle

Open Access
File
cements
sands
stiffness
Cements
Sand

Effects of soil moisture content on CO2 triggered soil physicochemical properties in a near-surface environment

Derakhshan-Nejad, Z., Lee, W., Han, S., Choi, J., Yun, S. & Lee, G., 2020, (Accepted/In press) In : Journal of Soils and Sediments.

Research output: Contribution to journalArticle

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, (Accepted/In press).

Research output: Contribution to conferenceAbstract

Enhanced reduction of doxycycline by sucrose-modified nZVI

Akmanova, A., Babaa, M-R. & Lee, W., 2020, (Accepted/In press).

Research output: Contribution to conferenceAbstract

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 proceedingChapter

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 journalArticle

High specific surface area bimodal porous carbon derived from biomass reed flowers for high performance lithium-sulfur batteries

Wang, Z., Zhang, X., Liu, X., Yongguang, Z., Zhao, W., Li, Y. & Bakenov, Z., Feb 15 2020, In : Journal of Colloid and Interface Science. 569, p. 22 12 p.

Research output: Contribution to journalArticle

Specific surface area
Biomass
Carbon
Sulfur
Energy storage

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 proceedingChapter

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 journalArticle

Shear waves
arrival time
S-wave
Soils
Travel time

Impedimetric detection of Pseudomonas aeruginosa attachment on flexible ITO-coated polyethylene terephthalate substrates

Bharatula, L. D., Marsili, E. & Kwan, J. J., Feb 1 2020, In : Electrochimica Acta. 332, 135390.

Research output: Contribution to journalArticle

Polyethylene Terephthalates
Biofilms
Polyethylene terephthalates
Electrochemical impedance spectroscopy
Substrates

Improving the efficiency of an exhaust thermoelectric generator based on changes in the baffle distribution of the heat exchanger

Sheikh, R., Gholampour, S., Fallahsohi, H., Goodarzi, M., Mohammad Taheri, M. & Bagheri, M., Jan 1 2020, (Accepted/In press) In : Journal of Thermal Analysis and Calorimetry.

Research output: Contribution to journalArticle

thermoelectric generators
baffles
heat exchangers
Heat exchangers
electric power

Inhibitory effect of CaCrO4 and NaCrO4- on the removal of aqueous Cr(VI) by vivianite

Bae, S., Kaplan, U., Kim, H., Han, S. & Lee, W., 2020, (Submitted) In : Environmental Science: Water Research and Technology.

Research output: Contribution to journalArticle

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 proceedingChapter

Memristors
Hardware
Equipment and Supplies
Computing
Availability

Kinetics study of CO2 absorption in potassium carbonate solution promoted by diethylenetriamine

Ramezani, R. & Di Felice, R., Jan 1 2020, (Accepted/In press) In : Green Energy and Environment.

Research output: Contribution to journalArticle

Open Access
Potash
Kinetics
Arginine
Reaction kinetics
Reaction rates

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 proceedingChapter

Learning algorithms
Learning Algorithm
Learning
Hardware
Memristors

Maximum torsional reinforcement ratio of reinforced concrete beams

Ju, H., Lee, D., Kim, J. R. & Kim, K. S., Feb 2020, In : Structures. 23, p. 481-493 13 p.

Research output: Contribution to journalArticle

Open Access
Reinforced concrete
Reinforcement
Torsional stress
Concretes
Failure modes

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 proceedingChapter

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 proceedingChapter

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 proceedingChapter

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 proceedingChapter

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 proceedingChapter

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 journalArticle

Ethanolamine
Eutectics
Molecular dynamics
Computer simulation
Amines

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 proceedingChapter

Memristors
Neural Networks
Neural networks
Data storage equipment
Equipment and Supplies
3 Citations (Scopus)

Neuromemristive Circuits for Edge Computing: A Review

Krestinskaya, O., James, A. P. & Chua, L. O., Jan 2020, In : IEEE Transactions on Neural Networks and Learning Systems. 31, 1, p. 4-23 20 p., 8667457.

Research output: Contribution to journalReview article

Cloud computing
Networks (circuits)
Scalability
Sustainable development
Internet

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 journalArticle

Cryogels
Arsenic
Iron oxides
iron oxide
arsenic

Optimal power tracking of PMSG based wind energy conversion systems by constrained direct control with fast convergence rates

The Nguyen, H., Al-Sumaiti, A. S., Vu, V. P., Al-Durra, A. & Do, T. D., Jun 2020, In : International Journal of Electrical Power and Energy Systems. 118, 105807.

Research output: Contribution to journalArticle

Synchronous generators
Energy conversion
Wind power
Permanent magnets
Aerodynamics

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 proceedingChapter

Long-Term Memory
Memory Term
Recurrent neural networks
Short-Term Memory
Neural Networks