Extracting Mediterranean hidden fishing hotspots through big data mining

G Coro, L Pavirani, A Ellenbroek - IEEE Access, 2024 - ieeexplore.ieee.org
Monitoring fishing activity is crucial for fisheries management and governments to ensure
regulatory compliance and sustainable marine ecosystems. Analysing vessel movements …

Global-scale parameters for ecological models

G Coro, P Bove, K Kesner-Reyes - Scientific Data, 2023 - nature.com
This paper presents a collection of environmental, geophysical, and other marine-related
data for marine ecological models and ecological-niche models. It consists of 2132 raster …

[HTML][HTML] An Open Science oriented Bayesian interpolation model for marine parameter observations

G Coro - Environmental Modelling & Software, 2024 - Elsevier
Ecological and ecosystem modellers frequently need to interpolate spatiotemporal
observations of geophysical and environmental parameters over an analysed area …

[HTML][HTML] Computing ecosystem risk hotspots: A mediterranean case study

G Coro, L Pavirani, A Ellenbroek - Ecological Informatics, 2025 - Elsevier
In ecosystem management, risk assessment quantifies the probability and impact of events
and informs on intervention priorities. Analytical models for risk assessment quantify the …

Habitat distribution change of commercial species in the Adriatic Sea during the COVID-19 pandemic

G Coro, P Bove, A Ellenbroek - Ecological Informatics, 2022 - Elsevier
The COVID-19 pandemic has led to reduced anthropogenic pressure on ecosystems in
several world areas, but resulting ecosystem responses in these areas have not been …

An open science automatic workflow for multi-model species distribution estimation

G Coro, L Sana, P Bove - International Journal of Data Science and …, 2024 - Springer
Abstract Integrated Environmental Assessment systems and ecosystem models study the
links between anthropogenic and climatic pressures on marine ecosystems and help …

Filling gaps in trawl surveys at Sea through spatiotemporal and environmental modelling

G Coro, P Bove, EN Armelloni, F Masnadi… - Frontiers in Marine …, 2022 - frontiersin.org
International scientific fishery survey programmes systematically collect samples of target
stocks' biomass and abundance and use them as the basis to estimate stock status in the …

[HTML][HTML] Climate change effects on animal presence in the Massaciuccoli Lake basin

G Coro, P Bove, I Baneschi, A Bertini, L Calvisi… - Ecological …, 2024 - Elsevier
Big-data mining approaches based on Artificial Intelligence models can help forecast
biodiversity changes before they happen. These approaches can predict macroscopic …

15 GeoAI for Public Health

A Zufle, T Anderson, H Kavak, D Pfoser… - Handbook of …, 2023 - books.google.com
Artificial intelligence (AI) models of infectious disease spread are critical decisionsupport
systems to help explain the mechanisms of infectious disease spread, predict the number of …

[PDF][PDF] Machine Learning Based Modeling to Estimate Potential Distribution of Current Remerging hMPV in Asia Regions

A Wibowo - 2025 - preprints.org
Recently hMPV has been reported across countries in Asia regions. Among those countries,
hMPV has been reported in several locations and in subcontinent. Considering the records …