Nearshore Wave Prediction for renewable energy: Initial Results with Remote Sensing and Buoy Data-Reference-Cited by-同舟云学术

Nearshore Wave Prediction for renewable energy: Initial Results with Remote Sensing and Buoy Data

Published:2023-12-15 Issue: Volume:13 Page:1930-1935
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Container-title:2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Smyth Shane¹,O'Sullivan Conor¹,Pakrashi Arjun²,Dev Soumyabrata³

Affiliation:

1. The ADAPT SFI Research Centre, Ireland School of Computer Science, University College Dublin,Dublin,Ireland

2. School of Computer Science, University College Dublin, Beijing-Dublin International College, Beijing, China,Dublin,Ireland

3. The ADAPT SFI Research Centre, Ireland School of Computer Science, University College Dublin, Beijing-Dublin International College, Beijing, China,Dublin,Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511272/10512350/10513266.pdf?arnumber=10513266

Reference16 articles.

1. Automated Coastline Extraction Using Edge Detection Algorithms

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3. The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection

4. Interpreting a Semantic Segmentation Model for Coastline Detection

5. Development of a fully convolutional neural network to derive surf-zone bathymetry from close-range imagery of waves in Duck, NC;Collins,2021

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