Description

• Title:
  Application of machine learning for reconstruction of multiphase fluid structure measured by a capacitance multi-electrode sensor
• Creator:
  Ornowski, Remigiusz;
  Lackowski, Marcin;
  Kwidzinski, Roman
• Contributor:
  Ornowski, Remigiusz : Institute of Fluid Flow Machinery, Polish Academy of Sciences, Heat Transfer Department, Fiszera 14, 80-231 Gdańsk, Poland;
  Ornowski, Remigiusz : TERCJA Measuring and Computer Systems, Dywizjonu 303 5B/24, 80-462 Gdańsk, Poland;
  Lackowski, Marcin : Institute of Fluid Flow Machinery, Polish Academy of Sciences, Heat Transfer Department, Fiszera 14, 80-231 Gdańsk, Poland;
  Kwidzinski, Roman : Institute of Fluid Flow Machinery, Polish Academy of Sciences, Heat Transfer Department, Fiszera 14, 80-231 Gdańsk, Poland
• Description:
  The aim of the quarterly journal Archives of Thermodynamics is to disseminate knowledge between scientists and engineers worldwide and to provide a forum for original research conducted in the field of thermodynamics, heat transfer, fluid flow, combustion and energy conversion in various aspects of thermal sciences, mechanical and power engineering. Besides original research papers, review articles are also welcome. The journal scope of interest encompasses in particular, but is not limited to: Classical and extended non-equilibrium thermodynamics, Thermodynamic analysis including exergy, Thermodynamics of heating and cooling, Thermodynamics of nuclear power generation, Thermodynamics in defense engineering, Advances in thermodynamics, Experimental, theoretical and numerical heat transfer, Heat and momentum transfer in multiphase flows and nanofluids, Renewable energy sources including solar energy, Hydrogen Energy, Thermal Energy Conversion, Energy Transition, Advanced Energy Carriers, Energy storage and efficiency, Energy in buildings, Secondary fuels and fuel conversion, Combustion and emissions, Thermal incineration of wastes and waste heat recovery, Thermal and energy system analysis, Combined and integrated energy systems, Distributed energy generation, Turbomachinery. Appears since 1980, four issues per year. Publication funding of this journal is provided by resources of the Polish Academy of Sciences and The Szewalski Institute of the Fluid-Flow Machinery of the Polish Academy of Sciences. Scoring assigned by the Polish Ministry of Science and Higher Education: 70 points IMPACT FACTOR 2023: 0.8 CiteScore metrics from Scopus, CiteScore 2023: 1.8 SCImago Journal Rank (SJR) 2023: 0.25 Source Normalized Impact per Paper (SNIP) 2023: 0.395 H-index: 17 Overall Rank/Ranking: 17629 Submit your article;
  Supervisory Editors • T. Bohdal, Koszalin University of Technology, Poland • M. Lackowski, Institute of Fluid Flow Machinery, Gdańsk, Poland Honorary Editor • J. Mikielewicz, Institute of Fluid Flow Machinery, Gdańsk, Poland Editor-in-Chief • P. Ocłoń, Cracow University of Technology, Cracow, Poland Section Editors • P. Lampart, Institute of Fluid Flow Machinery, Gdańsk, Poland • S. Polesek-Karczewska, Institute of Fluid Flow Machinery, Gdańsk, Poland • I. Szczygieł, Silesian University of Technology, Gliwice, Poland • A. Szlęk, Silesian University of Technology, Gliwice, Poland • Ali Cemal Benim, Duesseldorf University of Applied Sciences, Germany Technical Editors • J. Frączak, Institute of Fluid Flow Machinery, Gdańsk, Poland • S. Łopata, Institute of Fluid Flow Machinery, Gdańsk, Poland Members of Programme Committee • P. Furmański, Warsaw Univ. Tech., Poland • J. Badur, Inst. Fluid Flow Mach., Gdańsk, Poland • T. Chmielniak, Silesian Univ. Tech., Gliwice, Poland • S. Pietrowicz, Wrocław Univ. Sci. Tech., Poland • R. Kobyłecki, Częstochowa Univ. Tech., Poland • J. Wajs, Gdańsk Univ. Tech., Poland • D. Kardaś: Inst. Fluid Flow Mach., Gdańsk, Poland
• Object availability:
  free access
• Rights:
  <p>For articles published in <b>Archives of Thermodynamics</b>, the authors transfer copyright to publisher. <br><br>
• Date:
  2024.11.12
• Type:
  Article
• Coverage:
  5-12
• Publisher:
  The Committee of Thermodynamics and Combustion of the Polish Academy of Sciences and The Institute of Fluid-Flow Machinery Polish Academy of Sciences
• Subject:
  Electrical capacitance tomography;
  Multiphase reservoir flow;
  Neural networks;
  Machine learning;
  Deep learning
• Identifier:
  ISSN 1231-0956;
  eISSN 2083-6023
• Data provider:
  Czasopisma PAN
• Can I use it?:
  seek permission
• Type:
  image