Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells

Autor: Korovin, Alexey, Vasilyev, Artem, Egorov, Fedor, Saykin, Dmitry, Terukov, Evgeny, Shakhray, Igor, Zhukov, Leonid, Budennyy, Semen

Efficient defect detection in solar cell manufacturing is crucial for stable green energy technology manufacturing. This paper presents a deep-learning-based automatic detection model SeMaCNN for classification and semantic segmentation of electrolum

Externí odkaz: http://arxiv.org/abs/2208.05994

Sensitive element for fiber-optic converter of sonar signal

Autor: Egorov Fedor Andreevich, Amelichev Vladimir Vikorovich, Generalov Sergey Sergeevich

Publikováno v: Science, education, society: tendencies and future development; 38-42
Наука, образование, общество: тенденции и перспективы развития; 38-42

данная работа посвящена разработке микромеханического чувствительного элемента для волоконно-оптического преобразователя гидроакус�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=interactivep::3400634f3dbe20a86a578a1120174c5b
https://doi.org/10.21661/r-115756

EcoForge: Energieeffiziente Prozesskette zur Herstellung von Hochleistungs-Schmiedebauteilen*

Autor: Fischer, Martin, Dickert, Hans-Henning, Bleck, Wolfgang, Huskic, Adis, Kazhai, Mohammad, Hadifi, Tarik, Bouguecha, Anas, Behrens, Bernd-Arno, Labanova, Nadja, Felde, Alexander, Liewald, Mathias, Egorov, Fedor, Gabrecht, Martin, Brinksmeier, Ekkard, Reimche, Wilfried, Bruchwald, Oliver, Frackowiak, Wojciech, Maier, Hans Jürgen, Bucquet, Thibaud, Hinrichs, Björn, Fritsching, Udo, Hoja, Timo, Hoffmann, Franz, Zoch, Hans-Werner

Publikováno v: Journal of Heat Treatment and Materials: HTM; August 2014, Vol. 69 Issue: 4 p209-219, 11p