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Giampaolo D?Alessandro, Pantea Tavakolian and Stefano Sfarra
The present review aims to analyze the application of infrared thermal imaging, aided by bio-heat models, as a tool for the diagnosis of skin and breast cancers. The state of the art of the related technical procedures, bio-heat transfer modeling, and th...
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Xin Tian and Yuan Meng
Multi-relational graph neural networks (GNNs) have found widespread application in tasks involving enhancing knowledge representation and knowledge graph (KG) reasoning. However, existing multi-relational GNNs still face limitations in modeling the excha...
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Sung-Yoon Ahn, Mira Kim, Hye-Won Jeong, Wonsuck Yoon, Iel-Soo Bang and Sang-Woong Lee
Technological advancements have shifted human living and working environments from outdoor to indoor. Although indoor spaces offer protection from unfavorable weather conditions, they also present new health challenges. Stale, humid, and warm indoor air ...
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Amalia Moutsopoulou, Markos Petousis, Georgios E. Stavroulakis, Anastasios Pouliezos and Nectarios Vidakis
In this study, we created an accurate model for a homogenous smart structure. After modeling multiplicative uncertainty, an ideal robust controller was designed using µ-synthesis and a reduced-order H-infinity Feedback Optimal Output (Hifoo) controller, ...
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Luigi Di Palma, Mariacristina Nardone, Claudio Pezzella and Marika Belardo
This paper presents a methodology that involves the development of high-fidelity modeling and simulation procedures aimed at supporting virtual certification for crashworthiness requirements specific to tiltrotor aircraft, addressing the critical need fo...
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