Zobrazeno 1 - 10
of 637
pro vyhledávání: '"Deep generative models"'
Autor:
Kookalani, Soheila a, ⁎, Parn, Erika a, Brilakis, Ioannis a, Dirar, Samir b, c, Theofanous, Marios c, Faramarzi, Asaad c, Mahdavipour, Mohammad Ali c, Feng, Qixian c
Publikováno v:
In Journal of Building Engineering 15 November 2024 97
Publikováno v:
Water Science and Technology, Vol 88, Iss 11, Pp 2762-2778 (2023)
Water resources are essential for sustaining human life and promoting sustainable development. However, rapid urbanization and industrialization have resulted in a decline in freshwater availability. Effective prevention and control of water pollutio
Externí odkaz:
https://doaj.org/article/fa1d852eff50414cb1f3f808528cede3
Autor:
Iñigo Prada-Luengo, Viktoria Schuster, Yuhu Liang, Thilde Terkelsen, Valentina Sora, Anders Krogh
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-17 (2023)
Abstract Differential analysis of bulk RNA-seq data often suffers from lack of good controls. Here, we present a generative model that replaces controls, trained solely on healthy tissues. The unsupervised model learns a low-dimensional representatio
Externí odkaz:
https://doaj.org/article/a01c7581a83340df990a066ff0394ff0
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8742 (2024)
Deep Generative Models (DGMs), as a state-of-the-art technology in the field of artificial intelligence, find extensive applications across various domains. However, their security concerns have increasingly gained prominence, particularly with regar
Externí odkaz:
https://doaj.org/article/6540fff00f54480cbbfa3da04ada6bc6
Publikováno v:
Land, Vol 13, Iss 9, p 1397 (2024)
Traditional urban design often overlooks the synchronisation of human and ecological connectivities, typically favouring corridors for ecological continuity. Our study challenges this convention by introducing a computational design approach, meta-co
Externí odkaz:
https://doaj.org/article/a2dae9b8b66f44eb80a685ab35747481
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-18 (2023)
Abstract In recent years, the field of computational drug design has made significant strides in the development of artificial intelligence (AI) models for the generation of de novo chemical compounds with desired properties and biological activities
Externí odkaz:
https://doaj.org/article/c1989da341904f67a40940d73b85e5bc
Autor:
Amit Gangwal, Azim Ansari, Iqrar Ahmad, Abul Kalam Azad, Vinoth Kumarasamy, Vetriselvan Subramaniyan, Ling Shing Wong
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
There are two main ways to discover or design small drug molecules. The first involves fine-tuning existing molecules or commercially successful drugs through quantitative structure-activity relationships and virtual screening. The second approach in
Externí odkaz:
https://doaj.org/article/8074ab061f8049b08d0b9de47707813d
Autor:
Hisaichi Shibata, Shouhei Hanaoka, Takahiro Nakao, Tomohiro Kikuchi, Yuta Nakamura, Yukihiro Nomura, Takeharu Yoshikawa, Osamu Abe
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3489 (2024)
Local differential privacy algorithms combined with deep generative models can enhance secure medical image sharing among researchers in the public domain without central administrators; however, these images were limited to the generation of low-res
Externí odkaz:
https://doaj.org/article/ba18df91de9f40e7bb1a09e6b53a0e5f
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/d48fe15f975f4ce39ca047dc13780d74
Publikováno v:
IEEE Access, Vol 11, Pp 135061-135073 (2023)
The emergence of Industry 4.0 has transformed modern-day factories into high-tech industrial sites through rapid automation and increased access to real-time data. Deep learning approaches possessing superior capabilities for intelligent, data-driven
Externí odkaz:
https://doaj.org/article/042558efc8c04c3f9759e8ffd1a7562e