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Kostiantyn Medvediev, Anna Kharchenko, Anzhelika Stakhova, Yurii Yevseichyk, Vitalii Tsybulskyi and Adrián Bekö
The proposed methodology aims to determine and forecast the technical condition of bridge elements, which could serve as an advanced engineering tool for assessing reliability and durability. It is developed based on fundamental studies that synthesize t...
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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Styliani Tassiopoulou, Georgia Koukiou and Vassilis Anastassopoulos
In the ever-evolving landscape of tomographic imaging algorithms, this literature review explores a diverse array of themes shaping the field?s progress. It encompasses foundational principles, special innovative approaches, tomographic implementation al...
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Vasile-Andrei Olteanu, Catalin-Victor Sfarti, Gheorghe G. Balan, Oana Timofte, Elena Gologan, Dana Elena Mitrica, Georgiana-Emmanuela Gilca-Blanariu, Cristina Gena Dascalu, Ion Sandu and Gabriela Stefanescu
The progression of liver fibrosis and the presence of portal hypertension are two key points in the follow-up and severity assessment of patients with chronic liver disease. Objective evaluation of such aspects has proven to be difficult due to the lack ...
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Andrea Frazzitta, Alberto Bacci, Arianna Carbone, Alessandro Cianchi, Alessandro Curcio, Illya Drebot, Massimo Ferrario, Vittoria Petrillo, Marcello Rossetti Conti, Sanae Samsam, Luca Serafini and Andrea Renato Rossi
X-ray production through betatron radiation emission from electron bunches is a valuable resource for several research fields. The EuAPS (EuPRAXIA Advanced Photon Sources) project, within the framework of EuPRAXIA, aims to provide 1?10 keV photons (X-ray...
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