Research output per year
Research output per year
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A Machine-Learning Approach to Queue Length Estimation Using Tagged Customers Emission
Efrosinin, D., Vishnevskiy, V. & Stepanova, N., 2024, Distributed Computer and Communication Networks: Control, Computation, Communications. 26th International Conference, DCCN 2023, Moscow, Russia, September 25–29, 2023, Revised Selected Papers. Vishnevskiy, V. M., Kozyrev, D. V., Samouylov, K. E. & Kozyrev, D. V. (eds.). Springer, Vol. 14123. p. 265-276 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14123 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Valid Decoding in Gaussian Mixture Models
Rudic, B., Pichler-Scheder, M. & Efrosinin, D., 2024, 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS). 6 p. (2024 IEEE 3rd Conference on Information Technology and Data Science, CITDS 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Average Cost Minimization in a Multi-server Retrial Queueing System with a Controllable Reserve Group of Servers
Efrosinin, D. & Stepanova, N., 2023, Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2022. Lecture Notes in Computer Science. Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (ed.). Springer, Vol. 13766. 12 p. (Lecture Notes in Computer Science (LNCS)).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Optimal scheduling in general multi-queue system by combining simulation and neural network techniques
Efrosinin, D., Vishnevskiy, V. & Stepanova, N., 2023, In: Sensors. 23, 12, 25 p., 5479.Research output: Contribution to journal › Article › peer-review
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Robustness of the cμ-Rule for an Unreliable Single-Server Two-Class Queueing System with Constant Retrial Rates
Efrosinin, D., Stepanova, N. & Sztrik, J., 2023, In: Mathematics. 11, 18, 14 p., 4002.Research output: Contribution to journal › Article › peer-review
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Strategic Research Part im Multi-Firm Projekt MFP 3.3 (COMET K2)
Efrosinin, D. (PI)
01.07.2022 → 31.12.2026
Project: Funded research › FFG - Austrian Research Promotion Agency
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AI-based monitoring and optimization based on sensor data from injection molds (COMET K2)
Efrosinin, D. (PI)
01.06.2022 → 31.12.2026
Project: Funded research › FFG - Austrian Research Promotion Agency
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Time Series Transformation into Images for Production State Recognition
Fleischanderl, S. (Researcher) & Efrosinin, D. (PI)
09.01.2023 → 20.11.2023
Project: Other › Master thesis project
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Hidden Markov models for state recognition in injection molding processes using acceleration data
Schmalzer, S. (Researcher) & Efrosinin, D. (PI)
09.01.2023 → 27.09.2023
Project: Other › Master thesis project
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Lineare Regression und Machine Learning Algorithmen al Korrekturmethoden von Pupillendistanzen zur automatischen Brillenanpassung
Salomon, B. (Researcher) & Efrosinin, D. (PI)
01.08.2022 → 01.08.2023
Project: Contract research › Industry project
Activities
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On the Analytic Solution to Recursive Smoothing in Mixture Models
Rudic, B. (Speaker), Sturm, V. (Speaker) & Efrosinin, D. (Speaker)
29 Oct 2024Activity: Talk or presentation › Poster presentation › science-to-science
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Maximum A Posteriori Predecessors in State Observation Models
Pichler-Scheder, M. (Speaker), Efrosinin, D. (Speaker) & Rudic, B. (Speaker)
22 Oct 2024Activity: Talk or presentation › Contributed talk › science-to-science
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Simulation-Based Optimization for Resource Allocation Problem in Finite-Source Queue with Heterogeneous Repair Facility
Efrosinin, D. (Speaker), Stepanova, N. (Speaker) & Vishnevskiy, V. (Speaker)
24 Sept 2024Activity: Talk or presentation › Contributed talk › science-to-science
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Valid Decoding in Gaussian Mixture Models
Rudic, B. (Speaker), Pichler-Scheder, M. (Speaker) & Efrosinin, D. (Speaker)
26 Aug 2024Activity: Talk or presentation › Contributed talk › science-to-science
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Reinforcement learning vs random search for discrete optimization in queueing systems
Efrosinin, D. (Speaker) & Stepanova, N. (Speaker)
26 Aug 2024Activity: Talk or presentation › Contributed talk › science-to-science
Press/Media
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Telephone conversation with a computer
Efrosinin, D. & Winkler, A.
01.01.2010
1 item of Media coverage
Press/Media