Open AccessDissertation
Applications of complex adaptive systems approaches to coastal systems
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The article was published on 2003-01-01 and is currently open access. It has received 26 citations till now. The article focuses on the topics: Complex adaptive system.read more
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Journal ArticleDOI
Remote sensing of coastlines: detection, extraction and monitoring
TL;DR: In this article, the current status of the use of remote sensing for the detection, extraction and monitoring of coastlines is reviewed, and the developed techniques have reached a level of maturity such that they are applied in operational settings.
Journal Article
The behaviour of a multiple bar system in the nearshore zone of Terschelling, the Netherlands: 1965-1993
B.G. Ruessink,Aart Kroon +1 more
TL;DR: In this paper, the behavior of a multiple bar system in the nearshore zone of the island of Terschelling, the Netherlands, was investigated on the time scale of years using a data set of soundings.
Journal ArticleDOI
The Performance of Shoreline Detection Models Applied to Video Imagery
TL;DR: In this article, the authors used digital images of the intertidal region to map shorelines and the inter-tidal bathymetry along four geo-morphically and hydrodynamically distinct coastlines in the United States, United Kingdom, The Netherlands and Australia.
Journal ArticleDOI
Beach recreation planning using video-derived coastal state indicators
José A. Jiménez,Andrés F. Osorio,Andrés F. Osorio,Ismael Mariño-Tapia,Michael Davidson,Raúl Medina,Aart Kroon,Renata Archetti,Paolo Ciavola,S. G. J. Aarnikhof +9 more
TL;DR: This contribution proposes Coastal State Indicators (CSIs) for application to different aspects of recreational beach management and makes use of the capabilities of Argus video-cameras to record multi-purpose information in a single image.
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Training feedforward networks with the Marquardt algorithm
TL;DR: The Marquardt algorithm for nonlinear least squares is presented and is incorporated into the backpropagation algorithm for training feedforward neural networks and is found to be much more efficient than either of the other techniques when the network contains no more than a few hundred weights.