Mashekova A 1

1. An Integrated Intelligent System for Breast Cancer Detection at Early Stages Using IR Images and Machine Learning Methods with Explainability
2. Evaluation of Integrated CNN, Transfer Learning, and BN with Thermography for Breast Cancer Detection
3. Silicon doping of LATP via molten flux method
4. Development of technological basis of 3d printing with highly filled metal-poly-dimensional compositions for manufacture of metal products of complex shape
5. Extruding aluminum bars on a new structure radial shear mill
6. Modeling of stress-deformed conditions of heavy loaded elements of new equipment of metal injection molding technologies
7. Early detection of the breast cancer using infrared technology – A comprehensive review
8. Polycationic doping of the LATP ceramic electrolyte for Li-ion batteries
9. Review of Artificial Intelligence Techniques for Breast Cancer Detection with Different Modalities: Mammography, Ultrasound, and Thermography Images
10. Separator-free Li-S thin-film battery with spin-coated S/CNT/SP cathode and PEO/PVDF/LTFSI/LLZO composite electrolyte
11. The Importance of Explainable Artificial Intelligence Based Medical Diagnosis
12. Fully Interpretable Deep Learning Model Using IR Thermal Images for Possible Breast Cancer Cases
13. Inverse thermal modeling and experimental validation for breast tumor detection by using highly personalized surface thermal patterns and geometry of the breast
14. Non-Invasive Breast Cancer Detection Using Physics Informed Neural Networks with Thermal Imaging and 3D Patient-Specific Breast Models
15. Patient/breast-specific detection of breast tumor based on patients’ thermograms, 3d breast scans, and reverse thermal modelling
16. Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool
17. Thermal modeling for breast tumor detection using thermography
18. Novel Li/Li_xSn_y thin film designed as an anode for lithium-ion microbatteries
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