Dmitrieva V.V.

Dmitrieva Valentina V.

Degree: Candidate of Sciences (PhD) in Technology

Associate Professor

Department of Electrophysical Installations
Works at MEPhI since 1985
Work Experience: 16 years

Education

1991 — National Research Nuclear University MEPhI

Courses

1. Informatics
2. Materials science. Biomaterials

Publication activity

4
h-index (Web of Science)
8
h-index (Scopus)
8
h-index (РИНЦ)

Showing publications for last 3 years

  1. Article
    Web of Science & Scopus
    Application of Machine Learning Algorithms and Neural Networks for Recognition of Parasitic Parameters by the Output Signal in High-Power Pulsed Electrophysics Devices // Physics of Atomic Nuclei, 2023 Vol. 86, No. 12, Q4 pp. 2696-2702 doi
  2. RSCI APPLICATION OF MACHINE LEARNING ALGORITHMS AND NEURAL NETWORKS FOR RECOGNITION OF PARASITIC PARAMETERS BY THE OUTPUT SIGNAL IN POWERFUL PULSED ELECTROPHYSICS DEVICESAPPLICATION OF MACHINE LEARNING ALGORITHMS AND NEURAL NETWORKS FOR RECOGNITION OF PARASITIC PARAMETERS BY THE OUTPUT SIGNAL IN POWERFUL PULSED ELECTROPHYSICS DEVICES // 2023 pp. 293
  3. Article
    Web of Science & Scopus
    Investigation of Textural Features for the Problems of Bone Marrow Cell Recognition in Information-Measuring Systems of Oncohematology // Measurement Techniques, 2022 Q4 doi
  4. Article
    Web of Science & Scopus
    THE CONCEPTUAL DESIGN OF THE 7.5 MeV/U LIGHT ION INJECTOR // CERN-Proceedings, 2021 Vol. 2021-September pp. 51-54 doi
  5. RSCI ESTIMATION THE PARASITIC PARAMETERS OF POWER PULSED DEVICES BY IMAGE RECOGNITION AND MACHINE LEARNING METHODS // 2021 pp. 26-27
  6. RSCI DYNAMICS OF ELECTRO-HYDRODYNAMIC FLOWS WITH CHEMICAL REACTIONS // 2021 pp. 336-337
  7. RSCI ESTIMATION THE PARASITIC PARAMETERS OF POWER PULSED DEVICES BY IMAGE RECOGNITION AND MACHINE LEARNING METHODS // 2021 pp. 380-381
  8. Article
    Web of Science & Scopus
    ANALYSIS OF BIOLOGICAL OBJECTS BY DIGITAL OPTICAL MICROSCOPY USING NEURAL NETWORKS // Bulletin of the Lebedev Physics Institute, 2021 Vol. 48, No. 10, Q4 pp. 332-336 doi
  9. Article
    Web of Science & Scopus
    Classification of bone marrow cells in the diagnosis of acute lymphoblastic leukemia // Journal of Physics: Conference Series, 2021 Vol. 2058, No. 1, Q4 doi
  10. Article
    Web of Science & Scopus
    Integrated information and measurement system for the diagnosis of acute leukemia and minimal residual disease based on computer microscopy, flow laser cytofluorimetry and artificial intelligence // Journal of Physics: Conference Series, 2021 Vol. 2058, No. 1, Q4 doi
  11. Article
    Web of Science & Scopus
    Artificial Intelligence Technologies in the Diagnosis of Acute Lymphoblastic Leukemia and Minimal Residual Disease // Biomedical Engineering, 2021 Q3 doi

Showing conferences for last 3 years

Conferences not found

Повышение квалификации

April 26, 2013 — April 27, 2013 Ccuray Nraining Programm for successful attendance of Accuray’s CyberKnife System Course (72 hours) Accuray Medical Equipment Russia

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