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Alexander V. Smirnov
Researcher at Russian Academy of Sciences
Publications - 407
Citations - 2948
Alexander V. Smirnov is an academic researcher from Russian Academy of Sciences. The author has contributed to research in topics: Ontology (information science) & Decision support system. The author has an hindex of 23, co-authored 382 publications receiving 2548 citations. Previous affiliations of Alexander V. Smirnov include IT University & Saint Petersburg State University.
Papers
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Journal ArticleDOI
Dynamic Nonlinear Image Tuning through Magnetic Dipole Quasi-BIC Ultrathin Resonators.
Lei Xu,Khosro Zangeneh Kamali,Lujun Huang,Mohsen Rahmani,Alexander V. Smirnov,Rocio Camacho-Morales,Yixuan Ma,Guoquan Zhang,Matthew J. Woolley,Dragomir N. Neshev,Andrey E. Miroshnichenko +10 more
TL;DR: Dynamical nonlinear image tuning is experimentally demonstarted via polarization and wavelength control, paving the way for nanophotonics applications such as tunable displays, nonlinear holograms, tunable nanolaser, and ultrathin nonlinear nanodevices with various functionalities.
Patent
Method and apparatus for ontology matching
Sergey Balandin,Sergey Boldyrev,Ian Oliver,Timofey Turenko,Alexander V. Smirnov,Nikolay Shilov,Alexey Kashevnik +6 more
TL;DR: In this paper, an approach for ontology matching is presented, where an information space infrastructure determines a first ontology and a second ontology, and then applies a plurality of comparison models on the two ontologies.
Journal ArticleDOI
Demand forecasting in pharmaceutical supply chains: A case study
TL;DR: State-of-art methods and key challenges in demand forecasting for the pharmaceutical industry are discussed, and an integrated procedure for in-market product demand forecasting and purchase order generation in the pharmaceutical supply chain is described.
Journal ArticleDOI
Patterns for context-based knowledge fusion in decision support systems
TL;DR: Seven knowledge fusion patterns have been discovered: simple fusion, extension, instantiated fusion, configured fusion, adaptation, flat fusion, and historical fusion.
Journal ArticleDOI
Knowledge source network configuration approach to knowledge logistics
TL;DR: The paper describes a KSNet-approach, being developed to build an intelligent support system addressing problems of KL through knowledge fusion (KF), mainly based on such technologies as ontology management and intelligent agents.