Zobrazeno 1 - 10
of 49 462
pro vyhledávání: '"Thermal Images"'
Autor:
Witwit, Wasnaa1 (AUTHOR) sci.wasnaa.jaafar@uobabylon.edu.iq, Zhao, Yifan2 (AUTHOR), Hallawi, Huda3 (AUTHOR)
Publikováno v:
Ingénierie des Systèmes d'Information. Oct2024, Vol. 29 Issue 5, p1679-1686. 8p.
Autor:
Kesavapillai, Ahalya R.1,2 (AUTHOR) ahalya991@gmail.com, Aslam, Shabnam M.3 (AUTHOR) s.aslam@mu.edu.sa, Umapathy, Snekhalatha1 (AUTHOR) s.aslam@mu.edu.sa, Almutairi, Fadiyah4 (AUTHOR) fma.almutairi@mu.edu.sa
Publikováno v:
Diagnostics (2075-4418). Sep2024, Vol. 14 Issue 17, p1911. 24p.
Facial analysis is a key component in a wide range of applications such as security, autonomous driving, entertainment, and healthcare. Despite the availability of various facial RGB datasets, the thermal modality, which plays a crucial role in life
Externí odkaz:
http://arxiv.org/abs/2408.15127
Concentrated Solar Power (CSP) plants store energy by heating a storage medium with an array of mirrors that focus sunlight onto solar receivers atop a central tower. Operating at high temperatures these receivers face risks such as freezing, deforma
Externí odkaz:
http://arxiv.org/abs/2406.16077
The integration of thermal imaging data with Multimodal Large Language Models (MLLMs) constitutes an exciting opportunity for improving the safety and functionality of autonomous driving systems and many Intelligent Transportation Systems (ITS) appli
Externí odkaz:
http://arxiv.org/abs/2406.13898
Autor:
Alves, Maria de Fátima Araújo1 (AUTHOR) fatima.alves@ufrpe.br, Pandorfi, Héliton1 (AUTHOR) heliton.pandorfi@ufrpe.br, Soares, Rodrigo Gabriel Ferreira2 (AUTHOR) rodrigo.gfsoares@ufrpe.br, Almeida, Gledson Luiz Pontes de1 (AUTHOR) gledson.almeida@ufrpe.br, Santana, Taize Calvacante1 (AUTHOR) taize.calvacante@ufrpe.br, Silva, Marcos Vinícius da3 (AUTHOR) marcos.viniciussilva@ufrpe.br
Publikováno v:
AgriEngineering. Sep2024, Vol. 6 Issue 3, p3203-3226. 24p.
Autor:
Ogoke, Francis, Pak, Peter Myung-Won, Myers, Alexander, Quirarte, Guadalupe, Beuth, Jack, Malen, Jonathan, Farimani, Amir Barati
Insufficient overlap between the melt pools produced during Laser Powder Bed Fusion (L-PBF) can lead to lack-of-fusion defects and deteriorated mechanical and fatigue performance. In-situ monitoring of the melt pool subsurface morphology requires spe
Externí odkaz:
http://arxiv.org/abs/2404.17699
Autor:
Mirasbekov, Yerken1 (AUTHOR) nurduman.aidossov@nu.edu.kz, Aidossov, Nurduman1 (AUTHOR) yong.zhao@nu.edu.kz, Mashekova, Aigerim1 (AUTHOR) aigerim.mashekova@nu.edu.kz, Zarikas, Vasilios2,3 (AUTHOR) vzarikas@uth.gr, Zhao, Yong1 (AUTHOR), Ng, Eddie Yin Kwee4 (AUTHOR) mykng@ntu.edu.sg, Midlenko, Anna5 (AUTHOR) anna.midlenko@nu.edu.kz
Publikováno v:
Biomimetics (2313-7673). Oct2024, Vol. 9 Issue 10, p609. 23p.
Autor:
Pak, Peter Myung-Won, Ogoke, Francis, Polonsky, Andrew, Garland, Anthony, Bolintineanu, Dan S., Moser, Dan R., Heiden, Michael J., Farimani, Amir Barati
We present a deep learning approach for quantifying and localizing ex-situ porosity within Laser Powder Bed Fusion fabricated samples utilizing in-situ thermal image monitoring data. Our goal is to build the real time porosity map of parts based on t
Externí odkaz:
http://arxiv.org/abs/2404.16882