Energy Research Group

2024

1. ⁠Alzhanov, N.; Ng, E.Y.K.; Zhao, Y. Three-Dimensional Physics-Informed Neural Network Simulation in Coronary Artery Trees. Fluids 2024, 9, 153. https://doi.org/10.3390/fluids9070153

2.  Y Zhao, O Mukhmetov, A Mashekova, EYK Ng, N Aidossov, V Zarikas. Application of physics informed neural network for breast cancer detection. 2024 9th International Conference on Automation, Control and Robotics Engineering 2024.

2023

3. ⁠O. Mukhmetov, Y. Zhao, A. Mashekova, V. Zarikas, E. Y. K. Ng, N. Aidossov (2023). Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool. Computer Methods and Programs in Biomedicine, Vol. 242, 2023, [107834]. https://doi.org/10.1016/j.cmpb.2023.107834. H Index = 124; Q1; CiteScore = 10.1, IF = 6.1

4. Alzhanov N, Ng EYK, Su X, Zhao Y. CFD Computation of Flow Fractional Reserve (FFR) in Coronary Artery Trees Using a Novel Physiologically Based Algorithm (PBA) Under 3D Steady and Pulsatile Flow Conditions. Energy. 2023; 10(3):309. https://doi.org/10.3390/Energy10030309

2022

5. Mashekova, A., Zhao, Y., Ng, E. Y. K., Zarikas, V., Fok, S. C., & Mukhmetov, O. (2022). Early detection of the breast cancer using infrared technology – A comprehensive review. Thermal Science and Engineering Progress, 27, [101142]. https://doi.org/10.1016/j.tsep.2021.101142. H Index = 26; Q1; CiteScore = 5.1 (87%)

6. ⁠N Aidossov, V Zarikas, Y Zhao, A Mashekova, EYK Ng, O Mukhmetov, An integrated intelligent system for breast cancer detection at early stages using IR images and machine learning methods with explainability. Springer Nature (SN) Computer Science (accepted)

7. ⁠A. Omirbayev, N. Aidossov, V. Zarikas, A. Mashekova, Y. Zhao, Y. K. Ng, Breast cancer diagnosis using thermograms and Bayesian and Convolutional Neural Networks, IUPESM WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (IUPESM WC2022), Singapore, 2022/7, https://wc2022.org/ wc202

8. Aidossov, N., Mashekova, A., Zhao, Y., Zarikas, V., Ng, E., Mukhmetov, O. Intelligent Diagnosis of Breast Cancer with Thermograms using Convolutional Neural Networks. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART 2022) – Vol. 2, pp. 598-604. DOI: 10.5220/0010920700003116

9. N.M. Aidossov, V. Zarikas, A.S. Mashekova, Yong Zhao. Intelligent diagnosis of breast cancer using IR thermography, thermal modeling and artificial intelligence. Bulletin of Almaty University of Power Engineering and Telecommunications, 2022, 3(58), pp. 71-77. DOI 10.51775/2790-0886_2022_58_3_71. – IF = 0.105

2021

10. Mukhmetov, O.; Mashekova, A.; Zhao, Y.; Midlenko, A.; Ng, E.Y.K.; Fok, S.C. Patient/Breast-Specific Detection of Breast Tumor Based on Patients’ Thermograms, 3D Breast Scans, and Reverse Thermal Modelling. Appl. Sci. 2021, 11, 6565. https://doi.org/10.3390/app11146565 H Index = 52; Q2; CiteScore = 3.0 (74%)

11. Mukhmetov, O., Mashekova, A., Zhao, Y., Ng, E., Midlenko, A., Fok, S., & Teh, S. (2021). Inverse thermal modeling and experimental validation for breast tumor detection by using highly personalized surface thermal patterns and geometry of the breast. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(19), 3777–3791. https://doi.org/10.1177/0954406220970595 ; H Index = 56; Q2; SiteScore = 3.0 (62%)

12. Mukhmetov, O., Igali, D., Mashekova, A., Zhao, Y., Ng, E. Y. K., Fok, S. C., & Teh, S. L. (2021). Thermal modeling for breast tumor detection using thermography. International Journal of Thermal Sciences, 161, [106712]. https://doi.org/10.1016/j.ijthermalsci.2020.106712 H Index = 110; Q1; CiteScore = 6.5 (92%). 

13. Y. Zhao, A. Myrzhakhmet, A. Mashekova, EYK Ng, O. Mukhmetov. 3D numerical study of temperature patterns in a female breast with tumor using a realistic multi-layered model. "Bulletin of NAS RK" Vol. 1,  Number 389 (2021),  6 – 13 https://doi.org/10.32014/2021.2518-1467.1.

14. A. Mashekova, Y. Zhao, EYK Ng, V. Zarikas, O. Mukhmetov. Recent advances on artificial intelligenttechniques for breast cancer diagnosis. Новости науки Казахстана. No 1 (148). 2021

15. Nazym S. Sagandykova, Ildar R. Fakhradiyev, Sreekar Reddy Sajjala, Saule A. Taukeleva, Dinara E. Shemetova, Timur M. Saliev, Shynar B. Tanabayeva & Yong Zhao. Patient-specific CFD simulation of aerodynamics for nasal pathology: a combined computational and experimental study. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2021, DOI: 10.1080/21681163.2020.1858968

16. Nazym S. Sagandykova, Michael Yong Zhao,  S. A. Taukeleva. CFD modeling of nasal airflow in the patients with a nasal septum deviation. Science & Healthcare, 2021. (Vol. 23) 4., DOI 10.34689/SH.2021.23.4.013

2018 

17. 11.⁠ ⁠O. Mukhmetov, D. Igali, Y. Zhao, S.Ch. Fok, S.L. Teh, A. Mashekova, Ng Yin Kwee. Finite Element Modelling for the Detection of Breast Tumor. 2018 IEEE 18th International Conference on Bioinformatics and Energy (BIBE), Taichung, 2018, pp. 360-363, doi: 10.1109/BIBE.2018.00078

18. 12.⁠ ⁠Igali, D., Mukhmetov, O., Zhao, Y., Fok, S.C., Teh, S.L. An Experimental Framework for Validation of Thermal Modeling for Breast Cancer Detection. 2018 IOP Conference Series: Materials Science and Engineering, 408 (1), 2018. doi:10.1088/1757-899X/408/1/012031