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pro vyhledávání: '"A Litty"'
Empirical likelihood (EL) and its extension via the jackknife empirical likelihood (JEL) method provide robust alternatives to parametric approaches, in the contexts with uncertain data distributions. This paper explores the theoretical foundations a
Externí odkaz:
http://arxiv.org/abs/2408.14038
Autor:
T. Geetha, John K. Smitha, Manju Sebastian, Mathew Irimpan Litty, Bincy Joseph, Jincy Joseph, T.S. Nisha
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e39450- (2024)
In the present study, Coconut Husk Biochar (CHB) was synthesize from widely available, locally sourced agro waste, coconut husk and characterized using different techniques like scanning electron microscopy (SEM), Brunauer-Emmett-Teller (BET) analysi
Externí odkaz:
https://doaj.org/article/d2f24af3aa0f4c51b4d09f97b8cac0ba
Autor:
Kraiem, Amin a, Pelamatti, Erica a, Grosse-Kathoefer, Sophie a, Demir, Hilal b, Vollmann, Ute b, Ehgartner, Caroline c, Stigler, Maria a, Punz, Benjamin a, Johnson, Litty a, Hüsing, Nicola c, Bohle, Barbara b, Aglas, Lorenz a, ⁎
Publikováno v:
In Allergology International January 2025 74(1):126-135
Autor:
Geetha, T. a, ⁎, Smitha, John K. b, Sebastian, Manju c, Litty, Mathew Irimpan c, Joseph, Bincy c, Joseph, Jincy c, Nisha, T.S. c
Publikováno v:
In Heliyon 15 November 2024 10(21)
Linear transformation model provides a general framework for analyzing censored survival data with covariates. The proportional hazards and proportional odds models are special cases of the linear transformation model. In biomedical studies, covariat
Externí odkaz:
http://arxiv.org/abs/2204.12724
Autor:
Kovalev, А.A., Kovalev, D.A., Panchenko, V.A., Zhuravleva, E.A., Laikova, A.A., Shekhurdina, S.V., Ivanenko, A.A., Litty, Yu.V.
Publikováno v:
In International Journal of Hydrogen Energy 18 October 2024 87:171-178
Autor:
Murali, Krishna, Thekkekara, Litty, Rahman, Md. Ataur, Sen, Suvankar, Shvedov, Vladlen, Izdebskaya, Yana, Zou, Chengjun, Tawfik, Sherif Abdulkader, Shadrivov, Ilya, Sriram, Sharath, Bhaskaran, Madhu
Publikováno v:
In Applied Materials Today October 2024 40
Publikováno v:
Advanced Photonics Research, Vol 5, Iss 6, Pp n/a-n/a (2024)
Diffractive neural networks (DNNs) are emerging as a new machine learning hardware based on optical diffraction with parallel and high‐throughput information processing. The optical inputs to DNNs are spatially modulated by propagating through pass
Externí odkaz:
https://doaj.org/article/51272258404743e08a909da0703deafa
Publikováno v:
In Journal of Adolescent Health June 2024 74(6):1184-1190
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 3, Pp n/a-n/a (2024)
Abstract Realizing three‐dimensional stretchable structures of functional materials with a minimum footprint on Silicone polymer is highly desirable in soft robotics, stretchable electronics, and photonics. However, material processing on a stretch
Externí odkaz:
https://doaj.org/article/8cc64edc46b44fde9b004303543deb66