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Fabi Prezja, Leevi Annala, Sampsa Kiiskinen and Timo Ojala
Diagnosing knee joint osteoarthritis (KOA), a major cause of disability worldwide, is challenging due to subtle radiographic indicators and the varied progression of the disease. Using deep learning for KOA diagnosis requires broad, comprehensive dataset...
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Antonio Angrisano, Giovanni Cappello, Salvatore Gaglione and Ciro Gioia
Velocity estimation has a key role in several applications; for instance, velocity estimation in navigation or in mobile mapping systems and GNSSs is currently a common way to achieve reliable and accurate velocity. Two approaches are mainly used to obta...
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Palone Mario, Silvia Squeo de Villagomez, Pellitteri Federica, Francesca Cremonini, Renato Salvatore and Luca Lombardo
Background: To investigate the accuracy of an F22 Aligner system, considering the amount of prescribed movement, tooth type, grip points, sex and age. Methods: Digital models of 120 patients (64 females and 56 males; mean age 35.2 years ± 7.4) affected b...
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Kexiang Qian, Hongyu Yang, Ruyu Li, Weizhe Chen, Xi Luo and Lihua Yin
With the rapid growth of IoT devices, the threat of botnets is becoming increasingly worrying. There are more and more intelligent detection solutions for botnets that have been proposed with the development of artificial intelligence. However, due to th...
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Tomasz Gajewski and Pawel Skiba
The main goal of this work is to combine the usage of the numerical homogenization technique for determining the effective properties of representative volume elements with artificial neural networks. The effective properties are defined according to the...
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