Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rutwik, Gulakala"'
Autor:
de Payrebrune, Kristin M., Flaßkamp, Kathrin, Ströhla, Tom, Sattel, Thomas, Bestle, Dieter, Röder, Benedict, Eberhard, Peter, Peitz, Sebastian, Stoffel, Marcus, Rutwik, Gulakala, Aditya, Borse, Wohlleben, Meike, Sextro, Walter, Raff, Maximilian, Remy, C. David, Yadav, Manish, Stender, Merten, van Delden, Jan, Lüddecke, Timo, Langer, Sabine C., Schultz, Julius, Blech, Christopher
Artificial intelligence (AI) is driving transformative changes across numerous fields, revolutionizing conventional processes and creating new opportunities for innovation. The development of mechatronic systems is undergoing a similar transformation
Externí odkaz:
http://arxiv.org/abs/2412.12230
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Covid-19 has been a global concern since 2019, crippling the world economy and health. Biological diagnostic tools have since been developed to identify the virus from bodily fluids and since the virus causes pneumonia, which results in lung
Externí odkaz:
https://doaj.org/article/221327a853da4a8192c8fd066329e228
Publikováno v:
Computer Methods and Programs in Biomedicine. 229:107262
Covid-19 infections are spreading around the globe since December 2019. Several diagnostic methods were developed based on biological investigations and the success of each method depends on the accuracy of identifying Covid infections. However, acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d3cd6ec790d952f052de98a973c27ce
https://doi.org/10.1016/j.cmpb.2022.107262
https://doi.org/10.1016/j.cmpb.2022.107262
Autor:
Jörg Eschweiler, Marcus Stoffel, Rutwik Gulakala, Gözde Dursun, Mersedeh Tohidnezhad, Saurabh Balkrishna Tandale, Bernd Markert
Publikováno v:
Computer Methods and Programs in Biomedicine. 208:106279
Background and objective: The use of automated systems for image recognition is highly preferred for regenerative medicine applications to evaluate stem cell differentiation early in the culturing state with non-invasive methodologies instead of inva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e24d4c6bcdb703dce1a98ccd5e23ae01
https://doi.org/10.1016/j.cmpb.2021.106279
https://doi.org/10.1016/j.cmpb.2021.106279
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 364:112989
The aim of the present study is to develop a series of artificial neural networks (ANN) and to determine, by comparison to experiments, which type of neural network is able to predict the measured structural deformations most accurately. For this app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ee632ea7f59c88d78c72c052c44a8e
https://doi.org/10.1016/j.cma.2020.112989
https://doi.org/10.1016/j.cma.2020.112989