Description

• Tytuł:
  A convolutional neural network machine learning based navigation of underwater vehicles under limited communication
• Twórca:
  Sahoo, Sarada Prasanna;
  Pati, Bibhuti Bhusan;
  Das, Bikramaditya
• Współtwórca:
  Sahoo, Sarada Prasanna : Department of Electrical Engineering, VSS University of Technology, Burla, India;
  Das, Bikramaditya : Department of Electronics andTelecommunication Engineering, VSSUT Burla, Odisha, India but now joined as Associate Professor inDepartment of Electronics and Communication Engineering, CUPGS, BPUT, Rourkela, Odisha, India
• Opis:
  Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields. Aims and Scope: Archives of Control Sciences publishes papers in the broadly understood field of control science and related areas while promoting the closer integration of the Polish, as well as other Central and East European scientific communities with the international world of science. IMPACT FACTOR 2022: 1.2 CiteScore 2022: 2.7 SCImago Journal Rank (SJR) 2022: 0.304 Source Normalized Impact per Paper (SNIP) 2021: 0.570
• Dostępność obiektu:
  free access
• Data:
  2024.10.09
• Typ:
  Article
• Coverage:
  537-568
• Publisher:
  Committee of Automatic Control and Robotics PAS
• Subject:
  Autonomous Underwater Vehicle (AUV);
  machine learning;
  hierarchical clustering;
  Convolutional Neural Network (CNN)
• Identifier:
  ISSN 1230-2384
• Data provider:
  Czasopisma PAN
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