all AI news
Exceedance Probability Forecasting via Regression for Significant Wave Height Prediction
April 26, 2024, 4:43 a.m. | Vitor Cerqueira, Luis Torgo
cs.LG updates on arXiv.org arxiv.org
Abstract: Significant wave height forecasting is a key problem in ocean data analytics. This problem is relevant in several maritime operations, such as managing the passage of vessels or estimating the energy production from waves. In this work, we focus on the prediction of extreme values of significant wave height that can cause coastal disasters. This task is framed as an exceedance probability forecasting problem. Accordingly, we aim to estimate the probability that the significant wave …
abstract analytics arxiv cs.lg data data analytics energy focus forecasting key ocean operations prediction probability production regression stat.ml type values via work
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US