Pneumonia is one of the most relevant and dangerous chest diseases in the world. It can be detected through images generated by Chest X-Rays (CXR) or CT scans. In recent years, several computer-aided diagnosis (CAD) systems have been developed, especially aided by recent advances in deep learning....
04b Atto di convegno in volume
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The PMDI project aims at radically improving the safety of urban mobility by extending STEP, an automotive data management and analytics platform, to support real-time and near-real-time use cases, particularly focusing on dangerous crossings at urban intersections. Such capabilities will be...
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Binary function similarity, which often relies on learning-based algorithms to identify what functions in a pool are most similar to a given query function, is a soughtafter topic in different communities, including machine learning, software engineering, and security. Its importance stems from the...
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Ensuring the security and confidentiality of cloud computing workloads is essential. To this end, major cloud providers offer computing instances based on trusted execution environments (TEEs) to support confidential computing in vir- tual machines. TEEs are hardware-based shielded environments...
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A communication network is said to be anonymous if its agents are indistinguishable from each other; it is dynamic if its communication links may appear or disappear unpredictably over time. Assuming that an anonymous dynamic network is always connected and each of its n agents is initially given...
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In the domain of crisis management for telecommunications infrastructures, the autonomous detection of cell outages within cellular networks is of paramount importance for prompt identification and resolution in ensuring uninterrupted connectivity to users. Traditional methods usually involve data...
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The role of anomaly detection systems in Critical Infrastructures (CIs) is critical due to the complexity of CIs and their control systems, which are usually implemented by computer-based controllers that constantly produce logs of their activities. Moreover, many CIs, located in different...
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The Enhanced Factory for Extra-terrestrial Space Technology Operations (EFESTO) project presents a strategic approach for establishing sustainable manufacturing and recycling operations in Low Earth Orbit (LEO), aiming to mitigate launcher constraints, support long-duration missions, increase space...
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In the domain of crisis management for telecommunications infrastructures, the autonomous detection of cell outages within cellular networks is of paramount importance for prompt identification and resolution in ensuring uninterrupted connectivity to users. Traditional methods usually involve data...
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The role of anomaly detection systems in Critical Infrastructures (CIs) is critical due to the complexity of CIs and their control systems, which are usually implemented by computer-based controllers that constantly produce logs of their activities. Moreover, many CIs, located in different...