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Elenco Pubblicazioni - Publications (1676)

Pavirani, L., Bove, P., & Coro, G. (2025, June). "Ecosystem Risk Assessment Through Stressor Concurrency Identification: A Comparative Analysis". In OCEANS 2025 Brest (pp. 1-6). IEEE.

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In Marine Science, ecosystem risk assessment is a process that integrates data to estimate the potential impact of harmful and fragile forces (stressors) on the ecosystem. Nowadays, the management of marine ecosystems is increasingly complex…
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Pavirani, L., Bove, P., & Coro, G. (2025, June). "Ecosystem Risk Assessment Through Stressor Concurrency Identification: A Comparative Analysis". In OCEANS 2025 Brest (pp. 1-6). IEEE.

Written by
In Marine Science, ecosystem risk assessment is a process that integrates data to estimate the potential impact of harmful and fragile forces (stressors) on the ecosystem. Nowadays, the management of marine ecosystems is increasingly complex…
Read more...

L. Borgianni, D. Adami, M. Bosi, S. Giordano, C. Chafe: "A Comprehensive Evaluation of Networked Music Performance using LEO Satellite Internet: The Starlink Use Case", IEEE Transactions on Network and Service Management, 2025

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Networked Music Performance (NMP) is one of the most challenging real-time applications in which musicians can play together using the internet without being physically together. Nowadays, the connection technology can have performance that guarantees an…
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Pavirani, L., Bove, P., & Coro, G. (2025). "Assessing marine ecosystem risks through unsupervised methods". Ecological Informatics, 103334.

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Marine ecosystems are facing significant challenges from intensified fishing, pollution, climate change, and biodiversity loss. Ecosystem risk assessments are vital for informing effective policies and management decisions. Traditional approaches, such as Ecosystem Models (EMs) and…
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S.Casini, P.Ducange, F.Marcelloni, L.Pollini: "Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study", International Joint Conference on Neural Network IJCNN 2025

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The development of autonomous robotic systems offers significant potential for performing complex tasks with precision and consistency. Recent advances in Artificial Intelligence (AI) have enabled more capable intelligent automation systems, addressing increasingly complex challenges. However,…
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