Fog Decision Support Systems: A Review of the Current Perspectives
Accurate and timely fog forecasts are needed to support decision making for various
activities which are critically affected by low visibility conditions. The societal impact of fog …
activities which are critically affected by low visibility conditions. The societal impact of fog …
The value of convergence research for developing trustworthy AI for weather, climate, and ocean hazards
Artificial Intelligence applications are rapidly expanding across weather, climate, and natural
hazards. AI can be used to assist with forecasting weather and climate risks, including …
hazards. AI can be used to assist with forecasting weather and climate risks, including …
[HTML][HTML] Deep learning ensembles for accurate fog-related low-visibility events forecasting
C Peláez-Rodríguez, J Pérez-Aracil, A de Lopez-Diz… - Neurocomputing, 2023 - Elsevier
In this paper we propose and discuss different Deep Learning-based ensemble algorithms
for a problem of low-visibility events prediction due to fog. Specifically, seven different Deep …
for a problem of low-visibility events prediction due to fog. Specifically, seven different Deep …
A machine learning tutorial for operational meteorology. Part II: Neural networks and deep learning
Over the past decade the use of machine learning in meteorology has grown rapidly.
Specifically neural networks and deep learning have been used at an unprecedented rate …
Specifically neural networks and deep learning have been used at an unprecedented rate …
A remote sensing and machine learning-based approach to forecast the onset of harmful algal bloom
In the last few decades, harmful algal blooms (HABs, also known as “red tides”) have
become one of the most detrimental natural phenomena in Florida's coastal areas. Karenia …
become one of the most detrimental natural phenomena in Florida's coastal areas. Karenia …
[HTML][HTML] Response of the Northwest Indian Ocean purpleback flying squid (Sthenoteuthis oualaniensis) fishing grounds to marine environmental changes and its …
H Han, B Jiang, Y Shi, P Jiang, H Zhang, C Shang… - Ecological …, 2023 - Elsevier
Climate change has posed a great challenge to global fisheries harvesting. Purpleback
flying squid (Sthenoteuthis oualaniensis) is a major economic cephalopod in the …
flying squid (Sthenoteuthis oualaniensis) is a major economic cephalopod in the …
Extreme low-visibility events prediction based on inductive and evolutionary decision rules: an explicability-based approach
In this paper, we propose different explicable forecasting approaches, based on inductive
and evolutionary decision rules, for extreme low-visibility events prediction. Explicability of …
and evolutionary decision rules, for extreme low-visibility events prediction. Explicability of …
Common practices and taxonomy in deep multi-view fusion for remote sensing applications
The advances in remote sensing technologies have boosted applications for Earth
observation. These technologies provide multiple observations or views with different levels …
observation. These technologies provide multiple observations or views with different levels …
Importance of 3D convolution and physics on a deep learning coastal fog model
The forecasting of hazardous atmospheric phenomena is often challenging. Artificial
intelligence (AI) models have been applied to atmospheric science problems. Model …
intelligence (AI) models have been applied to atmospheric science problems. Model …
Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic Sea
S Rajabi-Kiasari, N Delpeche-Ellmann… - Computers & …, 2023 - Elsevier
Accurate sea-level forecasting is crucial for navigation, engineering and coastal
conservation. One of the major obstacles in obtaining accurate sea-level data, both at …
conservation. One of the major obstacles in obtaining accurate sea-level data, both at …