Description

• Title:
  Analysis of Labour Efficiency Supported by the Ensembles of Neural Networks on the Example of Steel Reinforcement Works
• Creator:
  Juszczyk, Michał
• Description:
  Archives of Civil Engineering, quarterly journal of the Polish Academy of Sciences (“Committee for Civil and Water Engineering”) and Warsaw University of Technology (“Faculty of Civil Engineering) publish, exclusively in English, original scientific articles of the theoretical, experimental, numerical and practical nature. These can be research and review papers as well as case studies from all branches of Civil Engineering. The main fields of our interest are related to: structural mechanics, soil mechanics, foundations, brick, concrete, timber, steel, glass and composites polymer structures, hydro-technical objects, bridges, rail and road structures, building physics, construction management, building materials, transportation, land surveying, building services and education of civil engineers. With long history, dated to 1954, the periodical is available both in electronic and traditional version. The maximum number of papers per volume is 40. We proudly obtained the score of 140 points from the Ministry of Science and Academic Education. IMPACT FACTOR 2022: 0.7 CiteScore metrics from Scopus, CiteScore 2022: 1.2 SCImago Journal Rank ( SJR) 2022: 0.215 Source Normalized Impact per Paper ( SNIP) 2022: 0.462 Submit your article;
  Editor-in-Chief Henryk Zobel 0000-0002-4227-0506, Warsaw University of Technology, Faculty of Civil Engineering, The Institute of Roads and Bridges, Warsaw Deputy/Managing Editors: Dorota Walesiak Ludomir Szubert Scientific Advisory Committee: Huaming An, Kunming University of Science and Technology, Kunming, China José Aguiar, University of Minho, Guimarães, Portugal Jan Bień, Wrocław University of Technology, Poland Thomas Bock, School of Engineering, TU Munich, Germany Luc Courard, University of Liège, Belgium Carlos Chastre, University of Lisbon, Portugal Lech Czarnecki, Building Research Institute, Warsaw, Poland Natalia Distefano, University of Catania, Italy Łukasz Drobiec, Silesian University of Technology, Gliwice, Poland Mariaenrica Frigione, University of Salento, Lecce, Italy Kazimierz Furtak, Cracow University of Technology, Poland Stanisław Gaca, Cracow University of Technology, Poland Andrzej Garbacz, Warsaw University of Technology, Poland Dariusz Gawin, Lodz University of Technology, Poland Marian Giżejowski, Warsaw University of Technology, Poland Anna Halicka, Lublin University of Technology, Poland Liang He, Chongqing Jiaotong University, China Zdenek Kala, Brno University of Technology, Czech Republic Oleg Kapliński, Poznan University of Technology, Poland Maria Kaszyńska, West Pomeranian University of Technology, Szczecin, Poland Zbigniew Kledyński, Warsaw University of Technology, Poland Jana Korytarova, Brno University of Technology, Czech Republic Aleksander Kozłowski, Rzeszow University of Technology, Poland Marian Kwietniewski, Warsaw University of Technology, Poland Raffaele Landolfo, University of Naples, Italy Zbigniew Lechowicz, Warsaw University of Life Sciences, Poland Cezary Madryas, Wroclaw University of Technology ,Poland Jacek Mąkinia, Gdansk University of Technology, Poland Peter Mesaros, Kosice University of Technology, Slovakia Radosław Michałowski, University of Michigan, Ann Arbor, USA Ehsan Noroozinejad Farsangi, Graduate University of Advanced Technology, Iran Andrzej S. Nowak, University of Auburn, Alabama, USA Hartmut Pasternak, Brandenburg Technical University, Cottbus, Germany Daniele Peila, Polytechnic University of Turin, Italy Eugenio Pellicier, Valencia Polytechnic University, Spain Adam Podhorecki, University of Science and Technology, Bydgoszcz, Poland Wojciech Radomski, University of Science and Technology, Bydgoszcz, Poland Elżbieta Radziszewska - Zielina, Cracow University of Technology, Poland Diogo Ribeiro, Polytechnic of Porto/School of Engineering, Portugal Anna Siemińska - Lewandowska, Warsaw University of Technology, Poland Anna Sobotka, AGH University of Science and Technology, Poland Edward Szczechowiak, Poznan University of Technology, Poland Elżbieta Szmigiera, Warsaw University of Technology ,Poland Antoni Szydło, Wroclaw University of Technology, Poland Wiesław Trąmpczyński, Kielce University of Technology, Poland Andrzej Truty, Cracow University of Technology, Poland Thomas Ummenhofer, Karlsruhe Institute of Technology, Germany Ru Wang, Tongji University, Shanghai, China Krzysztof Wilde, Gdansk University of Technology, Poland Piotr Woyciechowski, Warsaw University of Technology, Poland Paulo Vila Real, University of Aveiro, Portugal Giulia Viggiani, Cambridge University, United Kingdom Jenny Yan, China Railway Academy Hua-Ping Wan, Zhejiang University, China Katarzyna Zabielska - Adamska, Bialystok University of Technology, Poland Edmundas K. Zavadskas, Vilnius Gediminas Technical, Lithuania Alphose Zingoni, University of Cape Town, South Africa
• Object availability:
  free access
• Rights:
  </p><b>Archives of Civil Engineering</b> is an open access journal with all content available with no charge in full text version. <br>The journal content is available under the licencse CC BY-NC-ND 4.0 <a href=" https://creativecommons.org/licenses/by-nc-nd/4.0/"> https://creativecommons.org/licenses/by-nc-nd/4.0/</a>.
• Date:
  2020.03.30
• Type:
  Article
• Source:
  Archives of Civil Engineering; Vol. 66; No 1; 97-111
• Coverage:
  97-111
• Publisher:
  WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES
• Subject:
  labour efficiency;
  ensembles of neural networks;
  prediction;
  steel reinforcement works
• Identifier:
  e-ISSN 2300-3103
• Data provider:
  Czasopisma PAN
• Can I use it?:
  check license
• Type:
  image