المؤلفون: Bui Vu Minh, Anh-Tu Le, Chi-Bao Le, Sang Quang Nguyen, Van-Duc Phan, Tan N. Nguyen, Miroslav Voznak

المصدر: IEEE Access, Vol 11, Pp 117562-117575 (2023)

مصطلحات موضوعية: Deep neural networks, non-orthogonal multiple access (NOMA), line-of-sight (LoS), unmanned aerial vehicles (UAVs), the Internet of Things (IoT), hardware noise, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10287354/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/622e0a6cb4ea41419c34ef04872b78d6

المؤلفون: Skolik, Andrea, Mangini, Stefano, Bäck, Thomas, Macchiavello, Chiara, Dunjko, Vedran

المساهمون: Skolik, Andrea, Mangini, Stefano, Bäck, Thoma, Macchiavello, Chiara, Dunjko, Vedran

مصطلحات موضوعية: Quantum hardware noise, Quantum machine learning, Variational quantum algorithms

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000940804800001; volume:10; issue:1; numberofpages:43; journal:EPJ QUANTUM TECHNOLOGY; https://hdl.handle.net/11571/1511662

الاتاحة: https://hdl.handle.net/11571/1511662
https://doi.org/10.1140/epjqt/s40507-023-00166-1
https://link.springer.com/content/pdf/10.1140/epjqt/s40507-023-00166-1.pdf?utm_source=scopus&getft_integrator=scopus

المؤلفون: Duong, T. A., Blaes, B. R.

مصطلحات موضوعية: prediction cascade error projection VLSI hardware noise prediction

وصف الملف: 310574 bytes; application/pdf

Relation: The 5th World Multi-Conference on Systemics, Cybernetics and Informatics 2001; Orlando, Florida, USA; 01-1167; http://hdl.handle.net/2014/12838

الاتاحة: http://hdl.handle.net/2014/12838

المؤلفون: Stromatias, E, Neil, D, Pfeiffer, M, Galluppi, F, Furber, S, Liu, S-C

المصدر: Stromatias, E; Neil, D; Pfeiffer, M; Galluppi, F; Furber, S; Liu, S-C (2015). Robustness of spiking deep belief networks to noise and reduced bit precision of neuro-inspired hardware platforms. Frontiers in Neuroscience, 9:222.

مصطلحات الفهرس: Institute of Neuroinformatics, 570 Life sciences; biology, Deep Belief Networks, SpiNNaker, neuro-inspired hardware, noise robustness, spiking neural networks, Journal Article, PeerReviewed, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://www.zora.uzh.ch/id/eprint/121784/
https://www.zora.uzh.ch/id/eprint/121784
10.3389/fnins.2015.00222