Zobrazeno 1 - 10
of 69 907
pro vyhledávání: '"A. Alma"'
Autor:
Subong, Ryan A., Subong, Alma Jean D.
Publikováno v:
International Journal of Computing Sciences Research 8, (2024) 3119-3130
This paper aims to verify the effectiveness of the software implementation of the proposed algorithm in creating computer-generated images of sand mixtures using a photograph of sand as an input and its effectiveness in converting digital pictures in
Externí odkaz:
http://arxiv.org/abs/2409.04345
In this study, we introduce CIKMar, an efficient approach to educational dialogue systems powered by the Gemma Language model. By leveraging a Dual-Encoder ranking system that incorporates both BERT and SBERT model, we have designed CIKMar to deliver
Externí odkaz:
http://arxiv.org/abs/2408.08805
Autor:
Zamurayeva, Alma U., Aldabergenova, Taurzhan K., Zhunussova, Aigerim T., Pshembayeva, Roza K., Zhilkibayeva, Zhanna B., Sarsenbayeva, Feruza S., Eniola, Anthony A., Ojeka, John D.
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Aug 01. 28(8), 67-76.
Externí odkaz:
https://www.jstor.org/stable/27325738
Autor:
Feng, Ji, Perry, Altai J., Weng, Xiaojing, Gonzalez-Alcalde, Alma K., Arteaga, Oriol, Mencagli, Mario J., Vuong, Luat T.
Sensing light's polarization and wavefront direction enables surface curvature assessment, material identification, shadow differentiation, and improved image quality in turbid environments. Traditional methods utilize multiple sensors and polarizati
Externí odkaz:
http://arxiv.org/abs/2407.14722
Understanding the rules underlying organismal development is a major unsolved problem in biology. Each cell in a developing organism responds to signals in its local environment by dividing, excreting, consuming, or reorganizing, yet how these indivi
Externí odkaz:
http://arxiv.org/abs/2407.06295
In this project, we investigate the accuracy of forecasting intraday and daily trading volume of the exchange-traded fund SPY. The ability to forecast volume over varying time intervals with high accuracy is a critical element to many trading strateg
Externí odkaz:
http://arxiv.org/abs/2406.17198
Autor:
Ruis, Frank A., Liezenga, Alma M., Heslinga, Friso G., Ballan, Luca, Eker, Thijs A., Hollander, Richard J. M. den, van Leeuwen, Martin C., Dijk, Judith, Huizinga, Wyke
Collecting and annotating real-world data for the development of object detection models is a time-consuming and expensive process. In the military domain in particular, data collection can also be dangerous or infeasible. Training models on syntheti
Externí odkaz:
http://arxiv.org/abs/2405.19822
Autor:
Sodini, Alessio, D'Odorico, Valentina, Salvadori, Stefania, Vanni, Irene, Bischetti, Manuela, Cupani, Guido, Davies, Rebecca, Becker, George D., Bañados, Eduardo, Bosman, Sarah, Davies, Frederick, Farina, Emanuele Paolo, Ferrara, Andrea, Keating, Laura, Kulkarni, Girish, Lai, Samuel, Ryan-Weber, Emma, Sebastian, Alma Maria, Walter, Fabian
Publikováno v:
A&A 687, A314 (2024)
This study explores the metal enrichment signatures attributed to the first generation of stars (PopIII) in the Universe, focusing on the E-XQR-30 sample. We aim to identify traces of Pop III metal enrichment by analyzing neutral gas in the interstel
Externí odkaz:
http://arxiv.org/abs/2404.10722
We study the classic correlation clustering in the dynamic setting. Given $n$ objects and a complete labeling of the object-pairs as either similar or dissimilar, the goal is to partition the objects into arbitrarily many clusters while minimizing di
Externí odkaz:
http://arxiv.org/abs/2404.06797
Autor:
Behnezhad, Soheil, Ghafari, Alma
We study the fully dynamic maximum matching problem. In this problem, the goal is to efficiently maintain an approximate maximum matching of a graph that is subject to edge insertions and deletions. Our focus is on algorithms that maintain the edges
Externí odkaz:
http://arxiv.org/abs/2404.06069