Alisher Ikramov

19 ta ish

Oʻzbekiston Milliy Universiteti

1. The Complexity of Testing Cryptographic Devices on Input Faults

   Alisher Ikramov, Gayrat Juraev

   BobVLSI and Analog Circuit TestingLecture notes in computer science20215 iqtibos

   ABIABI:AkademIndex/2026.other.211867

2. COVID-19 Severity Prediction in Patients Based on Anomaly Detection Approach

   Alisher Ikramov, Fatima Adilova, Khikmat Anvarov +1

   BobCOVID-19 diagnosis using AILecture notes in networks and systems20211 iqtibos

   ABIABI:AkademIndex/2021.chapter.000035

3. Prediction of Diastolic Dysfunction in Patients with Cardiovascular Diseases and Type 2 Diabetes with Respect to Covid-19 in Anamnesis Using Artificial Intelligence

   Dilnoza Alimova, Alisher Ikramov, Раиса Тригулова +2

   MaqolaOAOchiq kirishCardiovascular Function and Risk Factors20231 iqtibos

   ABIABI:AkademIndex/2023.article.002200

4. Features of the Trajectories of Glycated Hemoglobin in Patients with CHD and DM 2

   Раиса Тригулова, Sh.Sh. Mukhtarova, Dilnoza Alimova +2

   MaqolaNeurological Disorders and TreatmentsAmerican Heart Journal20231 iqtibos

   ABIABI:AkademIndex/2023.article.003329

5. Prediction of glycosylated hemoglobin level in patients with cardiovascular diseases and type 2 diabetes mellitus with respect to anti-diabetic medication

   Alisher Ikramov, Shakhnoza Mukhtarova, Раиса Тригулова +2

   MaqolaOAOchiq kirishDiabetes Treatment and ManagementFrontiers in Endocrinology20241 iqtibos

   ABIABI:AkademIndex/2024.article.001247

6. Case study: Matched molecular pairs approach in QSAR modelling

   Fatima Adilova, Alisher Ikramov

   MaqolaComputational Drug Discovery Methods20170 iqtibos

   ABIABI:AkademIndex/2017.article.000853

7. Determining the Activity of Fullerene Nanoparticles Using QSAR Models

   Alisher Ikramov, Kamoliddin Nabijonov, Bakhtiyor Rasulev

   proceeding20210 iqtibos

   ABIABI:AkademIndex/2021.proceeding.000056

8. Prospects for the use of artificial intelligence technologies in predicting the risk of cardiovascular disease (CVD) outcomes in patients with type 2 diabetes mellitus

   Alimova D.A., Alisher Ikramov, Trigulova R.Kh. +4

   MaqolaOAOchiq kirishHermeneutics and Narrative IdentityZenodo (CERN European Organization for Nuclear Research)20220 iqtibos

   ABIABI:AkademIndex/2022.article.007831

9. Prospects for the use of artificial intelligence technologies in predicting the risk of cardiovascular disease (CVD) outcomes in patients with type 2 diabetes mellitus

   Alimova D.A., Alisher Ikramov, Раиса Тригулова +4

   MaqolaOAOchiq kirishHermeneutics and Narrative IdentityZenodo (CERN European Organization for Nuclear Research)20220 iqtibos

   ABIABI:AkademIndex/2022.article.009276

10. Machine Learning Algorithms in Application to COVID-19 Severity Prediction in Patients

    Alisher Ikramov, Khikmat Anvarov, V. Kh. Sharipova +3

    BobCOVID-19 diagnosis using AILecture notes in computer science20220 iqtibos

    ABIABI:AkademIndex/2022.chapter.000068

11. Prospects for the use of artificial intelligence technologies in predicting the risk of cardiovascular disease (CVD) outcomes in patients with type 2 diabetes mellitus

    Alimova D.A., Alisher Ikramov, Раиса Тригулова +4

    MaqolaHealthcare Systems and Public HealthZenodo (CERN European Organization for Nuclear Research)20230 iqtibos

    ABIABI:AkademIndex/2023.article.005541

12. SPONGE structure in the basis of a new stream cipher

    Alisher Ikramov, Мерсаид Арипов, Gayrat Juraev

    MaqolaCryptographic Implementations and SecurityAIP conference proceedings20230 iqtibos

    ABIABI:AkademIndex/2023.article.008079

13. An application of SQUARE cryptanalysis to symmetric block cipher O'zDST 1105:2009 to retrieve secret parameters

    Alisher Ikramov

    PreprintOAOchiq kirishChaos-based Image/Signal EncryptionResearch Square20240 iqtibos

    ABIABI:AkademIndex/2024.preprint.000138

14. Possibilities of Screening and Intervention Strategies in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus with the Risk of HF

    Раиса Тригулова, Alisher Ikramov, Dilafruz Akhmedova +3

    MaqolaCardiovascular Function and Risk FactorsAmerican Heart Journal20250 iqtibos

    ABIABI:AkademIndex/2025.article.008454

15. Prognosis of Hospitalizations of Patients with Different Phenotypes of Heart Failure in Type 2 Diabetes Mellitus

    Раиса Тригулова, Alisher Ikramov, Dilafruz Akhmedova +3

    MaqolaDiabetes Treatment and ManagementAmerican Heart Journal20250 iqtibos

    ABIABI:AkademIndex/2025.article.008455

16. On retrieval of secret key parameters from symmetric block cipher O’zDST 1105:2009 using modified SQUARE cryptanalysis

    Alisher Ikramov

    MaqolaOAOchiq kirish20250 iqtibos

    ABIABI:AkademIndex/2025.article.068355

17. Predicting Risk of Future Hospitalizations in Patients with Type 2 Diabetes Mellitus and Cardiovascular Diseases Using Machine Learning

    Alisher Ikramov, Shakhnoza Mukhtarova, Раиса Тригулова +2

    BobMachine Learning in HealthcareLecture notes in networks and systems20250 iqtibos

    ABIABI:AkademIndex/2025.chapter.000534

18. A Comparative Analysis of Computer-Aided and Traditional Teaching in Primary Mathematics: Evidence from Uzbekistan

    Alisher Ikramov, Saidakbar Usmanbekov

    MaqolaOAOchiq kirishCognitive and developmental aspects of mathematical skillsInternational Journal of Information and Education Technology20260 iqtibos

    ABIABI:AkademIndex/2026.article.017253

19. Prognostic Value of the Residual SYNTAX Score in Patients With Non–ST-Segment Elevation Myocardial Infarction, Type 2 Diabetes Mellitus, and Preserved or Mildly Reduced Ejection Fraction: A Six-Month Follow-Up Study From Central Asia

    Раиса Тригулова, D. Akhmedova, Alisher Ikramov +3

    MaqolaOAOchiq kirish20260 iqtibos

    ABIABI:AkademIndex/2026.article.043710