Zobrazeno 1 - 10
of 3 507
pro vyhledávání: '"Parin, A."'
Autor:
Koch, James, Chowdhury, Pranab Roy, Wan, Heng, Bhaduri, Parin, Yoon, Jim, Srikrishnan, Vivek, Daniel, W. Brent
We present a data-driven machine-learning approach for modeling space-time socioeconomic dynamics. Through coarse-graining fine-scale observations, our modeling framework simplifies these complex systems to a set of tractable mechanistic relationship
Externí odkaz:
http://arxiv.org/abs/2407.18108
The recent strides in artificial intelligence (AI) and machine learning (ML) have propelled the rise of TinyML, a paradigm enabling AI computations at the edge without dependence on cloud connections. While TinyML offers real-time data analysis and s
Externí odkaz:
http://arxiv.org/abs/2407.11599
Autor:
Aussel, Didier, Chaipunya, Parin
Local solutions for variational and quasi-variational inequalities are usually the best type of solutions that could practically be obtained when in case of lack of convexity or else when available numerical techniques are too limited for global solu
Externí odkaz:
http://arxiv.org/abs/2402.02115
Autor:
Natdanai Likhitrakarn, Sergei I. Golovatch, Ruttapon Srisonchai, Parin Jirapatrasilp, Pichsinee Sapparojpattana, Ekgachai Jeratthitikul, Somsak Panha, Chirasak Sutcharit
Publikováno v:
ZooKeys, Vol 1215, Iss , Pp 235-257 (2024)
The taxonomy of the pill millipede genus Rhopalomeris Verhoeff, 1906, which is restricted to Indochina and currently comprises six described species, is refined and updated. An integrative taxonomic approach was employed that combines morphological e
Externí odkaz:
https://doaj.org/article/41727b456ef247fe80809a0b550de2f9
Publikováno v:
Carpathian Journal of Mathematics, 2024 Jan 01. 40(1), 65-76.
Externí odkaz:
https://www.jstor.org/stable/27259297
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In this study, we aimed to investigate the validity of the hue-heat effect on the body thermal sensitivity. Previous research on thermal comfort has proposed associations between red and warmth, and blue with cold. However, inconsistencies i
Externí odkaz:
https://doaj.org/article/959abf17de2743198df7115c38e7e6a5
Autor:
Stasenko, Sergey, Shemagina, Olga, Evgeny, Eremin, Yakhno, Vladimir, Parin, Sergey, Polevaya, Sofia
In this study we applyed machine-learning algorithms to determine the emotional disadaptation of a person by his rhythmogram. We used the method of determining a subject level of emotional disadaptation and recording of cardiorhythmography. We show t
Externí odkaz:
http://arxiv.org/abs/2212.13895
Autor:
Stasenko, Sergey, Kovalchuk, Andrey, Evgeny, Eremin, Zarechnova, Natalya, Tsirkova, Maria, Permyakov, Sergey, Parin, Sergey, Polevaya, Sofia
In this study we applyed machine-learning algorithms to determine the post-COVID state of a person. During the study, a marker of the post-COVID state of a person was found in the electrocardiogram data. We have shown that this marker in the patient'
Externí odkaz:
http://arxiv.org/abs/2212.13878