Search Results for Machine learning. - Narrowed by: Aerospace engineering.SirsiDynix Enterprisehttp://katalog.baskent.edu.tr/client/en_US/default/default/qu$003dMachine$002blearning.$0026qf$003dSUBJECT$002509Subject$002509Aerospace$002bengineering.$002509Aerospace$002bengineering.$0026ic$003dtrue$0026ps$003d300?dt=list2026-09-03T19:18:32ZData-Driven Methods for Statistical Verification of Uncertain Nonlinear Systemsent://SD_ILS/0/SD_ILS:6969582026-09-03T19:18:32Z2026-09-03T19:18:32Zby Quindlen, John Francis, author.<br/><a href="http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903591">http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903591</a><br/>Format: Books<br/>Modeling of Reynolds Stress Tensor with Embedded Galilean Invariance Using a Supervised Deep Learning Algorithment://SD_ILS/0/SD_ILS:6916042026-09-03T19:18:32Z2026-09-03T19:18:32Zby Hauger, Dominik Tobias, author.<br/><a href="http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10809527">http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10809527</a><br/>Format: Books<br/>Prognostics and Health Management of Engineering Systems An Introductionent://SD_ILS/0/SD_ILS:4805492026-09-03T19:18:32Z2026-09-03T19:18:32Zby Kim, Nam-Ho. author.<br/><a href="http://dx.doi.org/10.1007/978-3-319-44742-1">http://dx.doi.org/10.1007/978-3-319-44742-1</a><br/>Format: Electronic Resources<br/>Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics, Volume 9 Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017ent://SD_ILS/0/SD_ILS:4811952026-09-03T19:18:32Z2026-09-03T19:18:32Zby Harvie, Julie M. editor.<br/><a href="http://dx.doi.org/10.1007/978-3-319-54735-0">http://dx.doi.org/10.1007/978-3-319-54735-0</a><br/>Format: Electronic Resources<br/>