Wave runup and total water level observations from time series imagery at several sites with varying nearshore morphologies
Coastal imaging systems have been developed to measure wave runup and total water
level (TWL) at the shoreline, which is a key metric for assessing coastal flooding and …
level (TWL) at the shoreline, which is a key metric for assessing coastal flooding and …
Enhancement of electromagnetic scattering computation acceleration using LSTM neural networks
Y Yang, S Xinyang, Q Wang, C Fang - Electronics, 2023 - mdpi.com
This paper presents the electromagnetic long short-term memory neural network (EM-
LSTMNN) approach to accelerate radar cross-section (RCS) calculations in optimizing low …
LSTMNN) approach to accelerate radar cross-section (RCS) calculations in optimizing low …
[HTML][HTML] A New Framework for Quantifying Alongshore Variability of Swash Motion Using Fully Convolutional Networks
Waves running up and down the beach ('swash') at the landward edge of the ocean can
cause changes to the beach topology, can erode dunes, and can result in inland flooding …
cause changes to the beach topology, can erode dunes, and can result in inland flooding …
Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware
Coastline detection is vital for coastal management, involving frequent observation and
assessment to understand coastal dynamics and inform decisions on environmental …
assessment to understand coastal dynamics and inform decisions on environmental …
A Foam Line Position Detection Algorithm for A/O Pool Based on YOLOv5
Y Xu, Y Wu, Y Guo - Electronics, 2024 - mdpi.com
During the biochemical pretreatment process of leachate in urban landfill sites, if the foam in
the A/O pool is not promptly addressed, it can lead to overflow, posing hazards to the …
the A/O pool is not promptly addressed, it can lead to overflow, posing hazards to the …
A novel time series classification for multivariate data using improved deep belief-recurrent neural network with optimal dynamic time warping
BM Babu, B Sandhya - MATEC Web of Conferences, 2024 - matec-conferences.org
In the past ten years, data from time series extraction has attracted a lot of attention. Several
methods have concentrated on classification problems, where the objective is to identify the …
methods have concentrated on classification problems, where the objective is to identify the …
Enhancing Wave Runup Extraction on a Dissipative Beach through Machine Learning and Image Preprocessing Techniques
MJ van der Grinten - 2024 - repository.tudelft.nl
Wave runup observations are key data for coastal management, as they help validate
predictive models for the inundation frequencies and erosion rates. Efforts to develop …
predictive models for the inundation frequencies and erosion rates. Efforts to develop …