Ikramov Alisher Akramovich
👨🏫 Katta ilmiy xodim 🎓 05.01.05 − Axborotlarni himoyalash usullari va tizimlari. Axborot xavfsizligi
🏢 Xona raqami : 301
📧 Email: a.ikramov@matinst.uz
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Google Scholar maqolalari (Batafsil)
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Scopus maqolalari (Batafsil)
| Title | Publication | Date | DOI | Cited by |
|---|---|---|---|---|
| Basic medication therapy based on target glycated hemoglobin levels in patients with ischemic heart disease and diabetes | Eurasian Journal of Medicine and Oncology | 2025 | 10.36922/EJMO025160133 | 0 |
| On retrieval of secret key parameters from symmetric block cipher O’zDST 1105:2009 using modified SQUARE cryptanalysis | Journal of Discrete Mathematical Sciences and Cryptography | 2025 | 10.47974/JDMSC-2230 | 1 |
| Predicting Risk of Future Hospitalizations in Patients with Type 2 Diabetes Mellitus and Cardiovascular Diseases Using Machine Learning | Lecture Notes in Networks and Systems | 2025 | 10.1007/978-981-96-6938-7_25 | 0 |
| Prediction of glycosylated hemoglobin level in patients with cardiovascular diseases and type 2 diabetes mellitus with respect to anti-diabetic medication | Frontiers in Endocrinology | 2024 | 10.3389/fendo.2024.1305640 | 4 |
| Improving the Approach to Risk Grading in Patients with Coronary Artery Disease in Combination with Type 2 Diabetes Mellitus and Preserved Left Ventricular Ejection Fraction | Kardiologija V Belarusi | 2024 | 10.34883/PI.2024.16.4.003 | 0 |
| Using Machine Learning Algorithms to Predict the Activity of Fullerene Nanoparticles | Aip Conference Proceedings | 2023 | 10.1063/5.0144774 | 1 |
| SPONGE Structure in the Basis of a New Stream Cipher | Aip Conference Proceedings | 2023 | 10.1063/5.0144775 | 1 |
| PREDICTION OF DIASTOLIC DYSFUNCTION IN PATIENTS WITH CARDIOVASCULAR DISEASES AND TYPE 2 DIABETES WITH RESPECT TO COVID-19 IN ANAMNESIS USING ARTIFICIAL INTELLIGENCE | ACM International Conference Proceeding Series | 2023 | 10.1145/3608298.3608310 | 4 |
| COVID-19 Severity Prediction in Patients Based on Anomaly Detection Approach | Lecture Notes in Networks and Systems | 2022 | 10.1007/978-981-16-2377-6_56 | 1 |
| Machine Learning Algorithms in Application to COVID-19 Severity Prediction in Patients | Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics | 2022 | 10.1007/978-3-030-97546-3_28 | 0 |
| The Complexity of Testing Cryptographic Devices on Input Faults | Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics | 2021 | 10.1007/978-3-030-92708-0_12 | 9 |
| Determining the Activity of Fullerene Nanoparticles Using QSAR Models | Advances in Intelligent Systems and Computing | 2021 | 10.1007/978-3-030-68004-6_11 | 0 |
| Using Support Vector Regression in multi-target prediction of drug toxicity | 14th IEEE International Conference on Application of Information and Communication Technologies Aict 2020 Proceedings | 2020 | 10.1109/AICT50176.2020.9368837 | 2 |
| An application of RNN to the inverse-QSAR problem | International Conference on Information Science and Communications Technologies Applications Trends and Opportunities Icisct 2019 | 2019 | 10.1109/ICISCT47635.2019.9011985 | 1 |
| Assessment of therapy compliance among patients with effort angina in clinical practice (prediction model) | International Journal of Pharmaceutical Research | 2019 | 10.31838/ijpr/2019.11.03.029 | 0 |
| Case study: Matched molecular pairs approach in QSAR modelling | 2017 International Conference on Information Science and Communications Technologies Icisct 2017 | 2017 | 10.1109/ICISCT.2017.8188583 | 0 |