A Chebyshev polynomial radial basis function neural network for automated shoreline extraction from coastal imagery-Reference-Cited by-同舟云学术

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A Chebyshev polynomial radial basis function neural network for automated shoreline extraction from coastal imagery

Published:2016-03-07 Issue:2 Volume:23 Page:141-160
ISSN:1069-2509
Container-title:Integrated Computer-Aided Engineering
language:
Short-container-title:ICA

Author:

Rigos Anastasios¹,Tsekouras George E.¹,Vousdoukas Michalis I.²³,Chatzipavlis Antonios³,Velegrakis Adonis F.³

Affiliation:

1. Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece

2. Institute of Environment and Sustainability, Joint European Research Center, European Commission, Via Enrico Fermi, Italy

3. Department of Marine Sciences, University of the Aegean, Mytilene, Greece

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software

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1. Systematic literature review of the performance characteristics of Chebyshev polynomials in machine learning applications for economic forecasting in low-income communities in sub-Saharan Africa;SN Business & Economics;2022-11-10

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3. Assessment of the Role of Nearshore Marine Ecosystems to Mitigate Beach Erosion: The Case of Negril (Jamaica);Environments;2022-05-16

4. Waterline Extraction for Artificial Coast With Vision Transformers;Frontiers in Environmental Science;2022-02-28

5. A New Adaptive Remote Sensing Extraction Algorithm for Complex Muddy Coast Waterline;Remote Sensing;2022-02-11

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