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Elenco Pubblicazioni - Publications (1521)

Bresciani, M., Tani, S., Ruscio, F., Zacchini, L., Bartalucci, L., Ridolfi, A., ... & Costanzi, R. Impact of Natural Gas Seeps on the Navigation of an Autonomous Underwater Vehicle. In 2022 IEEE/OES Autonomous Underwater Vehicles Symposium

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Oceans preservation and protection have become increasingly relevant topics to tackle climate change. To this end, Autonomous Underwater Vehicles (AUVs) provide a useful means to carry out inspection and monitoring operations in full autonomy. A…
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Tani, S., Ruscio, F., Bresciani, M., Caiti, A., & Costanzi, R. (2022). Stereo Vision System for Autonomous Ship Hull Inspection. IFAC-PapersOnLine, 55(31), 375-380.

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The periodical hull inspection represents a necessary task to ensure the maintenance of a vessel since it allows to counteract decay, check for structural damages, and fight the biofouling phenomenon affecting the navigation efficiency. Typically,…
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Ruscio, F., Tani, S., Bresciani, M., Caiti, A., & Costanzi, R. (2022). Visual-based Navigation Strategy for Autonomous Underwater Vehicles in Monitoring Scenarios. IFAC-PapersOnLine, 55(31), 369-374.

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Autonomous Underwater Vehicles (AUVs) performing visual surveys aimed at the preservation of marine environments are equipped with optical sensors for image acquisition. In addition, an altitude sensor is usually installed on-board to control the distance…
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L. Borgianni, D. Adami and S. Giordano, "Optimizing Network Performance and Reliability with an Integrated SD-WAN and Satellite 6G Architecture," 2023 2nd International Conference on 6G Networking (6GNet), Paris, France, 2023, pp. 1-4, doi: 10.1109/6

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Integrating Software-Defined Wide Area Networking (SD-WAN) and Satellite 6G can provide a new architecture offering improved performance and reliability for various applications. SD-WAN provides a flexible and efficient system to manage network traffic across multiple…
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L. A. De Santi, F. Bargagna, M. F. Santarelli, V. Positano: “Evaluating explanations of an Alzheimer's Disease 18F-FDG Brain PET black-box classifier”, xAI 2023. Communications in Computer and Information Science, vol 1901. Springer (2023)

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eXplainable Artificial Intelligence (XAI) has been increasingly applied to interpret Deep Neural Networks (DNN) in medical imaging applications, but a general consensus about the best interpretation strategy is missing. This is also due to the…
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