المؤلفون: Marie Oestreich, Iva Ewert, Matthias Becker

المصدر: Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Molecular autoencoders, Latent space optimization, Sustainability, Resource optimization, Information technology, T58.5-58.64, Chemistry, QD1-999

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1758-2946Test

الوصول الحر: https://doaj.org/article/9564c81fcebf465298f539ee1d29ff16Test

المؤلفون: Mauro Tucci, Sami Barmada, Alessandro Formisano, Dimitri Thomopulos

المصدر: Electronics, Vol 10, Iss 2185, p 2185 (2021)

مصطلحات موضوعية: convolutional neural networks, variational autoencoder, latent space optimization, topology optimization, electromagnetic devices, training regularization, Electronics, TK7800-8360

العلاقة: https://www.mdpi.com/2079-9292/10/18/2185Test; https://doaj.org/toc/2079-9292Test; https://doaj.org/article/705e659879c4446699e6d70e6364d64bTest

الإتاحة: https://doi.org/10.3390/electronics10182185Test
https://doaj.org/article/705e659879c4446699e6d70e6364d64bTest

المؤلفون: SINGLA, KANIKA, NAND, PARMA

المصدر: Turkish Journal of Electrical Engineering and Computer Sciences

مصطلحات موضوعية: 3D reconstruction, shape models, dynamic human shape, latent space optimization, Computer Engineering, Computer Sciences, Electrical and Computer Engineering

وصف الملف: application/pdf

العلاقة: https://journals.tubitak.gov.tr/elektrik/vol31/iss2/5Test; https://journals.tubitak.gov.tr/context/elektrik/article/3986/viewcontent/elk_31_2_4_2206_48.pdfTest

الإتاحة: https://doi.org/10.55730/1300-0632.3985Test
https://journals.tubitak.gov.tr/elektrik/vol31/iss2/5Test
https://journals.tubitak.gov.tr/context/elektrik/article/3986/viewcontent/elk_31_2_4_2206_48.pdfTest

المؤلفون: Alessandro Formisano, Sami Barmada, Dimitri Thomopulos, Mauro Tucci

المساهمون: Tucci, M., Barmada, S., Formisano, A., Thomopulos, D.

المصدر: Electronics
Volume 10
Issue 18
Electronics, Vol 10, Iss 2185, p 2185 (2021)

مصطلحات موضوعية: TK7800-8360, Computer Networks and Communications, Computer science, Convolutional neural network, Electromagnetic device, Surrogate model, training regularization, convolutional neural networks, variational autoencoder, Electrical and Electronic Engineering, topology optimization, Artificial neural network, Convolutional neural networks, Electromagnetic devices, Latent space optimization, Topology optimization, Training regularization, Variational autoencoder, business.industry, Deep learning, Constrained optimization, Autoencoder, latent space optimization, electromagnetic devices, Hardware and Architecture, Control and Systems Engineering, Signal Processing, Benchmark (computing), Artificial intelligence, Electronics, business, Gradient descent, Algorithm

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9c539f6b978d597186332174748b0e7Test

المؤلفون: Tucci M., Barmada S., Formisano A., Thomopulos D.

المساهمون: Tucci, M., Barmada, S., Formisano, A., Thomopulos, D.

مصطلحات موضوعية: Convolutional neural network, Electromagnetic device, Latent space optimization, Topology optimization, Training regularization, Variational autoencoder

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000699219500001; volume:10; issue:18; firstpage:1; lastpage:21; numberofpages:21; journal:ELECTRONICS; http://hdl.handle.net/11568/1109817Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85114325036

الإتاحة: https://doi.org/10.3390/electronics10182185Test
http://hdl.handle.net/11568/1109817Test

المؤلفون: Masud, Mamoon

المساهمون: Yoon, Byung-Jun, Park, Hangue, Zou, Jun, Tian, Limei

مصطلحات موضوعية: Variational Auto-Encoder, Cancer Drug Response, Generative Models, Anti-Cancer Drug Discovery, Latent Space Optimization

وصف الملف: application/pdf

العلاقة: https://hdl.handle.net/1969.1/196383Test

الإتاحة: https://hdl.handle.net/1969.1/196383Test