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Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island
Research article (Journal of Marine Science and Engineering, 2023) · cited 14× · AI/ML
Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island
Summary
Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island is a scholarly article[1].
Key Facts
Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-accuracy-of-satellite-derived-bathymetry-using-multi-layer-perceptron-and-random-forest-regression-methods
MLA“Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-accuracy-of-satellite-derived-bathymetry-using-multi-layer-perceptron-and-random-forest-regression-methods.
BibTeX@misc{4ortxyz_improving-the-accuracy-of-satellite-derived-bathymetry-using-multi-layer-perceptron-and-random-forest-regression-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-accuracy-of-satellite-derived-bathymetry-using-multi-layer-perceptron-and-random-forest-regression-methods}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving the Accuracy of Satellite-Derived Bathymetry Using Multi-Layer Perceptron and Random Forest Regression Methods: A Case Study of Tavşan Island — https://4ort.xyz/entity/improving-the-accuracy-of-satellite-derived-bathymetry-using-multi-layer-perceptron-and-random-forest-regression-methods (retrieved 2026-05-24)
