Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Atmospheric extreme events cause severe damage to human societies and ecosystems.
The frequency and intensity of extremes and other associated events are continuously …
The frequency and intensity of extremes and other associated events are continuously …
Analysis, characterization, prediction and attribution of extreme atmospheric events with machine learning: a review
Atmospheric Extreme Events (EEs) cause severe damages to human societies and
ecosystems. The frequency and intensity of EEs and other associated events are increasing …
ecosystems. The frequency and intensity of EEs and other associated events are increasing …
Convolutional neural network and optical flow for the assessment of wave and tide parameters from video analysis (leucotea): An innovative tool for coastal monitoring
G Scardino, G Scicchitano, M Chirivì, PJM Costa… - Remote Sensing, 2022 - mdpi.com
Coastal monitoring is a topic continuously developing, which has been applied using
different approaches to assess the meteo-marine features, for example, to contribute to the …
different approaches to assess the meteo-marine features, for example, to contribute to the …
Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment
This study develops an end‐to‐end deep learning framework to learn and analyze ground
motions (GMs) through their latent features, and achieve reliable GM classification …
motions (GMs) through their latent features, and achieve reliable GM classification …
[HTML][HTML] Recent advances in seasonal and multi-annual tropical cyclone forecasting
Seasonal tropical cyclone (TC) forecasting has evolved substantially since its
commencement in the early 1980s. However, present operational seasonal TC forecasting …
commencement in the early 1980s. However, present operational seasonal TC forecasting …
Hurricane-Faster R-CNN-JS: Hurricane detection with faster R-CNN using artificial Jellyfish Search (JS) optimizer
S Kızıloluk, E Sert - Multimedia Tools and Applications, 2022 - Springer
A hurricane is a type of storm called tropical cyclone (TC) and is likely to lead to severe
storms and heavy rains. An early detection of hurricanes using satellite images can alarm …
storms and heavy rains. An early detection of hurricanes using satellite images can alarm …
[HTML][HTML] On the ionospheric response in the Taiwan region to Typhoon Meranti in September 2016
Previous studies have revealed that typhoons can affect the ionosphere. This paper uses
GNSS observations provided by GNSS tracking stations of Taiwan region, ERA5 gravity …
GNSS observations provided by GNSS tracking stations of Taiwan region, ERA5 gravity …
An Analysis of Climate Change Based on Machine Learning and an Endoreversible Model
S Vázquez-Ramírez, M Torres-Ruiz, R Quintero… - Mathematics, 2023 - mdpi.com
Several Sun models suggest a radioactive balance, where the concentration of greenhouse
gases and the albedo effect are related to the Earth's surface temperature. There is a …
gases and the albedo effect are related to the Earth's surface temperature. There is a …
Understanding explainability and interpretability for risk science applications
Recent adoption of advanced technologies, such as related to artificial intelligence (AI)
methods, shows expanding potential for risk and safety applications. However, these …
methods, shows expanding potential for risk and safety applications. However, these …
Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
The current oil industry is moving towards digitalization, which is a good opportunity that will
bring value to all its stakeholders. The digitalization of oil and gas discovery, which are …
bring value to all its stakeholders. The digitalization of oil and gas discovery, which are …