Terahertz Optical Machine Learning
| العنوان: | Terahertz Optical Machine Learning |
|---|---|
| المؤلفون: | Martin A. Kainz, Juraj Darmo, Gottfried Strasser, Moritz Wenclawiak, Benedikt Limbacher, Aaron Maxwell Andrews, Karl Unterrainer, Sebastian Schönhuber |
| المصدر: | Scopus-Elsevier |
| بيانات النشر: | IEEE, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Artificial neural network, Computer science, Terahertz radiation, business.industry, Linear algebra, Coherence (statistics), Artificial intelligence, Machine learning, computer.software_genre, business, computer, Near infrared radiation |
| الوصف: | Machine learning and its applications are rapidly advancing. Even-though the majority of machine learning is performed on computers, the fundamental methods of machine learning are based on linear algebra, which can be readily transferred to other systems. |
| DOI: | 10.1109/cleo/europe-eqec52157.2021.9542692 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bb8cde330fbe869cb9cd4547878dbca https://doi.org/10.1109/cleo/europe-eqec52157.2021.9542692 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....2bb8cde330fbe869cb9cd4547878dbca |
| قاعدة البيانات: | OpenAIRE |
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