Zobrazeno 1 - 10
of 123 893
pro vyhledávání: '"Ak IS"'
Using high-precision astrometric data from Gaia DR3 and updated systemic velocities from the literature, kinematical properties of cataclysmic variables (CVs) were investigated. By constraining the data according to the total space velocity error and
Externí odkaz:
http://arxiv.org/abs/2412.06882
UBV CCD observations of standard stars selected from Landolt (2009, 2013) were performed using the 1-meter telescope (T100) of the T\"{U}B\.{I}TAK National Observatory equipped with a back-illuminated and UV enhanced CCD camera and Bessell UBV filter
Externí odkaz:
http://arxiv.org/abs/2412.01882
{We present the radial metallicity gradients within the Galactic thin disc population through main-sequence stars selected on the chemical plane using GALAH DR3 accompanied with Gaia DR3 astrometric data. The [Fe/H], [$\alpha$/Fe] and [Mg/H] radial g
Externí odkaz:
http://arxiv.org/abs/2411.13660
Autor:
Moreira, Gabriel de Souza P., Ak, Ronay, Schifferer, Benedikt, Xu, Mengyao, Osmulski, Radek, Oldridge, Even
Ranking models play a crucial role in enhancing overall accuracy of text retrieval systems. These multi-stage systems typically utilize either dense embedding models or sparse lexical indices to retrieve relevant passages based on a given query, foll
Externí odkaz:
http://arxiv.org/abs/2409.07691
Removed per arXiv policy. Please see version at https://doi.org/10.31219/osf.io/4wqcr
Comment: arXiv admin note: Removed per arXiv policy. Please see version at https://doi.org/10.31219/osf.io/4wqcr
Comment: arXiv admin note: Removed per arXiv policy. Please see version at https://doi.org/10.31219/osf.io/4wqcr
Externí odkaz:
http://arxiv.org/abs/2409.00104
Autor:
Moreira, Gabriel de Souza P., Osmulski, Radek, Xu, Mengyao, Ak, Ronay, Schifferer, Benedikt, Oldridge, Even
Text embedding models have been popular for information retrieval applications such as semantic search and Question-Answering systems based on Retrieval-Augmented Generation (RAG). Those models are typically Transformer models that are fine-tuned wit
Externí odkaz:
http://arxiv.org/abs/2407.15831
We present the results of the observational study of the blazar S5 0716+716 in the optical bands B, V, R, and I between March 2019 and August 2023 to investigate its variability on diverse time-scales. The blazar was followed up by the T60 robotic te
Externí odkaz:
http://arxiv.org/abs/2407.09419
Autor:
Khiarak, Jalil Nourmohammadi, Ahmadi, Ammar, Saeed, Taher Ak-bari, Asgari-Chenaghlu, Meysam, Atabay, Toğrul, Karimi, Mohammad Reza Baghban, Ceferli, Ismail, Hasanvand, Farzad, Mousavi, Seyed Mahboub, Noshad, Morteza
This paper introduces a pioneering English-Azerbaijani (Arabic Script) parallel corpus, designed to bridge the technological gap in language learning and machine translation (MT) for under-resourced languages. Consisting of 548,000 parallel sentences
Externí odkaz:
http://arxiv.org/abs/2407.05189
This study explores implementing a digital twin network (DTN) for efficient 6G wireless network management, aligning with the fault, configuration, accounting, performance, and security (FCAPS) model. The DTN architecture comprises the Physical Twin
Externí odkaz:
http://arxiv.org/abs/2404.11394
Publikováno v:
ICC 2024 - IEEE International Conference on Communications
The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) models provide an efficient and accurate solution for identifying attacks
Externí odkaz:
http://arxiv.org/abs/2402.00839