Efficient data-driven machine learning models for scour depth predictions at sloping sea defences

Seawalls are critical defence infrastructures in coastal zones that protect hinterland areas from storm surges, wave overtopping and soil erosion hazards. Scouring at the toe of sea defences, caused by wave-induced accretion and erosion of bed material imposes a significant threat to the structural...

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מידע ביבליוגרפי

Principais autores:	M. A. Habib, S. Abolfathi, John. J. O’Sullivan, M. Salauddin
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2024-02-01
סדרה:	Frontiers in Built Environment
נושאים:	random forest gradient boosted decision trees Support Vector Machine Regression marine and coastal management coastal hazards mitigation toe scouring
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/fbuil.2024.1343398/full
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