SECTION-3
SECTION-3. MACHINE LEARNING AND DEEP LEARNING
Chair. Prof. Marat Rakhmatullaev
14:00 – 17:00 (11 September) |
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1. |
Alyavi A., Alyavi B., Abdullaev A., Uzokov J., Muminov Sh., Iskhakov Sh., Vikhrov I., Ashirbaev Sh. Value of artificial intelligence in diagnosing ischemic heart disease using ECG. |
2. |
Berdiev G., Xujakulov N., Pardaeva G., Ochilova S. Development of optimal golden geometric fractal shapes and application in architecture. |
3. |
Beknazarova S. Bekmirzayeva M. Analysis of filters for processing video images |
4. |
Egamberdiyev E.H. Data integration in a multi-type data environment |
5. |
Fayzullayev N. Identifying high risk of diabetes based on survey research questionnaire. |
6. |
Geldibayev B. Application of the random forest algorithm for early detection of lameness in dairy cows. |
7. |
Ikramov A., Trigulova R., Akhmedova D., Mukhtarova Sh., Alimova D. Prediction of ejection fraction of left ventricle in patients with type 2 diabetes mellitus on empagliflozin: a six-month assessment. |
8. |
Isakov O.K. Comparison of machine learning methods in bad loan predictions: analysis of micro finance data. |
9. |
Kambarov I. Application of machine learning in human robot collaboration systems to ımprove assembly efficiency. |
10. |
Khamdamоv U.R., Elоv B.B., Ubaydullayev A.A., Khusainоva Z.Y. Implementatiоn оf tоkenizatiоn prоcess using the bpe algоrithm. |
11. |
Khudayberdiev M.Kh., Khamroev A.Sh., Muraeva Kh.M. A Revıew for dıfferent approaches of tomato leaf dısease detectıon. |
12. |
Kim Y.V. structure of an automated system for vessel contour parameter detection and evaluation on ultrasound ımages. |
13. |
Mirzaev N., Radjabov S., Meliev F., Orifov A. Algorithms for recognition of histological images based on threshold rules. |
14. |
Matlatipov S.G. Explainability of the SVM classification model for sentiment analysis task of uzbek language. |
15. |
Muksimova Sh., Umirzakova S., Rakhimov Kh., Ruziboev F. Assessing machine learning algorithms for chronic disease prediction through performance metrics. |
16. |
Umarov M., Jumaboyeva P., Abjalova M. Traffic sign recognition using deep learning algorithms. |
17. |
Xamidov M.M. Methods for ıdentıfyıng human fatıgue states based on machıne learnıng algorıthms. |
18. |
Xo‘jamqulov A.X. Integrating large language models with visual data for enhanced human-object interaction detection. |
19. |
Zohirov K., Boykobilov S., Turayev M., Temirov M. Classification of hand movements on the basis of machine learning methods. |
20. |
Zоhirоv K., Bоykоbilоv S., Turayev M., Egamberdiev Kh., Ochilov M. Classıfıcatıоn оf mоvements оf athletes оn the basıs оf electrоmyоgraрhy by usıng machıne learnıng algоrıthms. |