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The NILM Dashboard : watchstanding and real-time fault detection using Non-intrusive Load Monitoring
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Thesis: S.M. in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Cat
Thesis: S.M. in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Cat
Externí odkaz:
https://hdl.handle.net/1721.1/122320
Autor:
Michaelides, Michel, Hirji, Nashila, Wong, Sui Chien, Besirli, Cagri G., Zaman, Serena, Kumaran, Neruban, Georgiadis, Anastasios, Smith, Alexander J., Ripamonti, Caterina, Gottlob, Irene, Robson, Anthony G., Thiadens, Alberta, Henderson, Robert H., Fleck, Penny, Anglade, Eddy, Dong, Xiangwen, Capuano, George, Lu, Wentao, Berry, Pamela, Kane, Thomas, Naylor, Stuart, Georgiou, Michalis, Kalitzeos, Angelos, Ali, Robin R., Forbes, Alexandria, Bainbridge, James
Publikováno v:
In American Journal of Ophthalmology September 2023 253:243-251