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pro vyhledávání: '"Barla A"'
We propose a method to accurately handle fluorescence in a non-spectral (\eg, tristimulus) rendering engine, showcasing color-shifting and increased luminance effects. Core to our method is a principled reduction technique that encodes the re-radiati
Externí odkaz:
http://arxiv.org/abs/2406.17360
Machine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical practice, adherence to best practices regarding data handling, experime
Externí odkaz:
http://arxiv.org/abs/2309.07192
Publikováno v:
Computer Graphics Forum (proceedings of EGSR 2023)
Spectral rendering is essential for the production of physically-plausible synthetic images, but requires to introduce several changes in the content generation pipeline. In particular, the authoring of spectral material properties (e.g., albedo maps
Externí odkaz:
http://arxiv.org/abs/2306.11464
Publikováno v:
ACS Omega, Vol 9, Iss 33, Pp 35730-35743 (2024)
Externí odkaz:
https://doaj.org/article/be1066bd194e4b0d8111f306b41ec6e9
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 08, Pp 01-04 (2024)
A less common puerperal complication following a caesarean section is a bladder flap haematoma, characterised by the accumulation of blood in the vesico-uterine space. A young, unregistered primigravida was referred from a peripheral facility with pr
Externí odkaz:
https://doaj.org/article/e1ad090041fb4ee8a759834c8bc71774
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Flue gas emissions are the waste gases produced during the combustion of fuel in industrial processes, which are released into the atmosphere. These identical processes also produce a significant amount of wastewater that is released into th
Externí odkaz:
https://doaj.org/article/cd955ed60fa54828ae57dda89d2cc760
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractHybrid magnetic tunnel junction (MTJ)/CMOS circuits based on the computation-in-memory (CIM) architecture are contemplated as the future generation of digital integrated circuits. It overcomes the limitations of von-Neumann architecture by of
Externí odkaz:
https://doaj.org/article/9579303eb2f948d3a353a3404d3abbb3
Publikováno v:
Computer Speech & Language, Volume 53, 2019, Pages 276-301
Word feature vectors have been proven to improve many NLP tasks. With recent advances in unsupervised learning of these feature vectors, it became possible to train it with much more data, which also resulted in better quality of learned features. Si
Externí odkaz:
http://arxiv.org/abs/2211.14631
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
IntroductionMachine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical practice, adherence to best practices in data handling, and
Externí odkaz:
https://doaj.org/article/ad329e6d638b46b8bae3bbdd50510ea8
Autor:
Jeky Chanwala, Deepak Kumar Jha, Tsheten Sherpa, Khushbu Kumari, Preeti Barla, Abhimanyu Das, Nrisingha Dey
Publikováno v:
Current Plant Biology, Vol 39, Iss , Pp 100371- (2024)
The trihelix transcription factors (THX TFs) play a crucial role in light responses and are involved in plant growth, development, and stress responses. In this study, we have identified 35 trihelix TFs in pearl millet (Pennisetum glaucum), which is
Externí odkaz:
https://doaj.org/article/e629cbc5cf1b48afa6a7b8e0017b7c62