Zobrazeno 1 - 10
of 1 333
pro vyhledávání: '"Chasiotis, A."'
Autor:
Moronkeji, Oluwadara, Sozio, Fabio, Ghosh, Kamalendu, Meddeb, Amira, Farahani, Amirhossein, Ounaies, Zoubeida, Chasiotis, Ioannis, Lopez-Pamies, Oscar
Elastomers filled with liquid inclusions -- as opposed to conventional solid fillers -- are a recent trend in the soft matter community because of their unique range of mechanical and physical properties. Such properties stem, in part, from the very
Externí odkaz:
http://arxiv.org/abs/2411.16363
In the field of big data analytics, the search for efficient subdata selection methods that enable robust statistical inferences with minimal computational resources is of high importance. A procedure prior to subdata selection could perform variable
Externí odkaz:
http://arxiv.org/abs/2411.06298
Autor:
Chasiotis, Vasilis, Karlis, Dimitris
The importance of exploring a potential integration among surveys has been acknowledged in order to enhance effectiveness and minimize expenses. In this work, we employ the alignment method to combine information from two different surveys for the es
Externí odkaz:
http://arxiv.org/abs/2404.05702
Autor:
Chasiotis, Vasilis, Karlis, Dimitris
If the assumed model does not accurately capture the underlying structure of the data, a statistical method is likely to yield sub-optimal results, and so model selection is crucial in order to conduct any statistical analysis. However, in case of ma
Externí odkaz:
http://arxiv.org/abs/2306.10980
Autor:
Chasiotis, Vasilis, Karlis, Dimitris
The demand of computational resources for the modeling process increases as the scale of the datasets does, since traditional approaches for regression involve inverting huge data matrices. The main problem relies on the large data size, and so a sta
Externí odkaz:
http://arxiv.org/abs/2305.01597
Autor:
Chasiotis, Vasilis, Karlis, Dimitris
Publikováno v:
Journal of Data Science, Statistics, and Visualisation 2024, 4(3)
In the big data era researchers face a series of problems. Even standard approaches/methodologies, like linear regression, can be difficult or problematic with huge volumes of data. Traditional approaches for regression in big datasets may suffer due
Externí odkaz:
http://arxiv.org/abs/2305.00218
Autor:
Gadotti, Dimitri A., Valenti, Elena, Fragkoudi, Francesca, Zanella, Anita, Coccato, Lodovico, de Sá-Freitas, Camila, Chasiotis-Klingner, Stella-Maria
With over 200 registered participants, this fully online conference allowed theorists and observers across the globe to discuss recent findings on the central structures of disc galaxies. By design, this conference included experts on the Milky Way,
Externí odkaz:
http://arxiv.org/abs/2301.10126
Autor:
Tomoya Kon, Shelley L. Forrest, Seojin Lee, Jun Li, Helen Chasiotis, Nasna Nassir, Mohammed J. Uddin, Anthony E. Lang, Gabor G. Kovacs
Publikováno v:
Neurobiology of Disease, Vol 198, Iss , Pp 106551- (2024)
Multiple system atrophy (MSA) is characterized by glial cytoplasmic inclusions (GCIs) containing aggregated α-synuclein (α-syn) in oligodendrocytes. The origin of α-syn accumulation in GCIs is unclear, in particular whether abnormal α-syn aggrega
Externí odkaz:
https://doaj.org/article/9f8e98dda3ed4320bd4654f1648f7e33
Publikováno v:
In Journal of International Financial Markets, Institutions & Money December 2024 97
Publikováno v:
Information Processing in Agriculture, Vol 11, Iss 1, Pp 1-13 (2024)
Non-isothermal convective drying schemes were examined for Lavandula × allardii leaves and inflorescences. Drying process parameters were optimized using response surface methodology (RSM) to ensure the peak operational performance. The effects of t
Externí odkaz:
https://doaj.org/article/98a5a2b823424df48354300bc6b7bd05