А. В. Григорьев

ORCID: 0000-0003-0847-8706
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Research Areas
  • Engineering Technology and Methodologies
  • Mechanical Systems and Engineering
  • Advanced Measurement and Detection Methods
  • Industrial Engineering and Technologies
  • Surface Treatment and Coatings
  • Engineering Diagnostics and Reliability
  • Advanced Measurement and Metrology Techniques
  • Material Properties and Applications
  • Advanced Power Generation Technologies
  • Optical measurement and interference techniques
  • Electric Power Systems and Control
  • Engineering and Environmental Studies
  • Material Science and Thermodynamics
  • Web Data Mining and Analysis
  • Refrigeration and Air Conditioning Technologies
  • Advanced Text Analysis Techniques
  • Advanced Thermodynamic Systems and Engines
  • Nuclear Engineering Thermal-Hydraulics
  • Mathematics, Computing, and Information Processing
  • Medical and Biological Sciences
  • Mining and Gasification Technologies
  • Advanced Research in Systems and Signal Processing
  • Machine Learning and Data Classification
  • Machine Learning and Algorithms
  • Radiation Detection and Scintillator Technologies

University of Oslo
2024

Omsk State Technical University
2015-2020

National Research Mordovia State University
2019

Geomechanica (Canada)
2019

Norsk Hydro (Germany)
2019

Penza State University
2015-2018

Bauman Moscow State Technical University
2001-2017

Technische Universität Berlin
2016

Mathematical formulae are essential in science, but face challenges of ambiguity, due to the use a small number identifiers represent an immense concepts. Corresponding word sense disambiguation Natural Language Processing, we disambiguate mathematical identifiers. By regarding and natural text as one monolithic information source, able extract semantics process term Processing (MLP). As scientific communities tend establish standard (identifier) notations, document domain infer actual...

10.1145/2911451.2911503 article EN Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2016-07-07

To be ready for the challenging conditions of High Luminosity phase LHC accelerator at CERN, ATLAS Inner Detector will completely replaced with a new all-silicon Tracker, ITk. Sensors in innermost layer exposed to fluence up 1.9$\cdot$10$^{16}$~n$_{eq}$/cm$^2$ (considering safety factor 1.5) half HL-LHC program, after which it is scheduled together full system. Pixel sensors 3D technology have been chosen instrument due their radiation hardness. 25x100~$\mu$m$^2$ pixel pitch used central...

10.22323/1.448.0072 article EN cc-by-nc-nd 2024-03-20

The description of a way contactless measurement the module and component vector vibro movement point is given in range microwave oven antenna mirror surface by automatic analysis geometrical parameters trace vibration degradation round tag which center coincides with this point.

10.1109/sibcon.2015.7147031 article EN 2015-05-01

The paper provides the overview of publications that study task protecting mirror antennas from external vibration influences. We suggest a new technique contactless measurement and analysis modulus components vector for amplitude in antenna elements. have analyzed structural parameters trace vibration-induced image blurring light-reflecting or fluorescent round tag with aim indirect measuring on surface antenna. provided justification half length, width tilt angle left by vibratory...

10.1109/sibcon.2016.7491673 article EN 2016-05-01

An investigation was made of the dynamics ultrasonic vibrodrills with a common source rotational and reciprocal motions. The constructed on basis an electroacoustic transducer longitudinal vibrations. dependences power, rotation speed, flutter rates were plotted for various pushers as function biological tissue drag torque. results obtained allowed us to determine optimal parameters basic modes used in treating tissues. Apart from that, vibrodrill pilot models, which are new principle,...

10.1615/critrevbiomedeng.v29.i3.140 article EN Critical Reviews in Biomedical Engineering 2001-01-01

Nowadays many artificial intelligence systems rely on knowledge bases for enriching the information they process. Such Knowledge Bases are usually difficult to obtain and therefore crowdsourced: available everyone internet suggest edits add new information. Unfortunately, sometimes targeted by vandals who put inaccurate or offensive there. This is especially bad that use these Bases: them it important reliable make correct inferences. One of such Wikidata, fight organizers WSDM Cup 2017...

10.48550/arxiv.1712.06920 preprint EN other-oa arXiv (Cornell University) 2017-01-01
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