Zobrazeno 1 - 10
of 21 754
pro vyhledávání: '"A A, Parada"'
In the present study, we explore the properties of generalized parton distributions (GPDs) for the kaon and pion within the framework of the nonlocal chiral quark model (NL$\chi$QM). Valence quark GPDs of the kaon and pion are analyzed with respect t
Externí odkaz:
http://arxiv.org/abs/2411.18130
Autor:
Bojtor, A., Krisztian, D., Parada, G., Korsos, F., Kollarics, S., Csosz, G., Markus, B. G., Forro, L., Simon, F.
Time-resolved photoconductivity is widely used to characterize non-equilibrium charge-carrier lifetime, impurity content, and solar cell efficiency in a broad range of semiconductors. Most measurements are limited to the detection of reflection of el
Externí odkaz:
http://arxiv.org/abs/2411.16892
Autor:
Bojtor, A., Krisztian, D., Korsos, F., Kollarics, S., Parada, G., Kollar, M., Horvath, E., Mettan, X., Markus, B. G., Forro, L., Simon, F.
Publikováno v:
Nanomaterials 14, 1742 (2024)
The measurement and description of the charge-carrier lifetime (tauc) is crucial for the wide-ranging applications of lead-halide perovskites. We present time-resolved microwave-detected photoconductivity decay (TRMCD) measurements and a detailed ana
Externí odkaz:
http://arxiv.org/abs/2411.02754
Publikováno v:
Computer Aided Chemical Engineering, Volume 53, 2024, Pages 1759-1764
We present the implementation of a novel economic model predictive control (E-MPC) strategy for froth flotation, the largest tonnage mineral separation process. A previously calibrated and validated dynamic model incorporating froth physics was used,
Externí odkaz:
http://arxiv.org/abs/2410.19661
Autor:
Liu, Chen, Liao, Danqi, Parada-Mayorga, Alejandro, Ribeiro, Alejandro, DiStasio, Marcello, Krishnaswamy, Smita
The proliferation of digital microscopy images, driven by advances in automated whole slide scanning, presents significant opportunities for biomedical research and clinical diagnostics. However, accurately annotating densely packed information in th
Externí odkaz:
http://arxiv.org/abs/2410.03058
In this work, we explore the use and reliability of Large Language Models (LLMs) in musicology. From a discussion with experts and students, we assess the current acceptance and concerns regarding this, nowadays ubiquitous, technology. We aim to go o
Externí odkaz:
http://arxiv.org/abs/2409.01864
Autor:
López, J. E., Paez-González, C. J., Hernández, A., Orozco, E. A., Tsygankov, P., Parada-Becerra, F. F.
This work presents the results of modelling the ion dynamics in the ART-MS (Autoresonant Trap Mass Spectrometry) device in the quasi-static approximation. This instrument utilizes an anharmonic, purely electrostatic trap for ion confinement and a rad
Externí odkaz:
http://arxiv.org/abs/2408.11722
Autor:
Ramoneda, Pedro, Eremenko, Vsevolod, D'Hooge, Alexandre, Parada-Cabaleiro, Emilia, Serra, Xavier
Estimating music piece difficulty is important for organizing educational music collections. This process could be partially automatized to facilitate the educator's role. Nevertheless, the decisions performed by prevalent deep-learning models are ha
Externí odkaz:
http://arxiv.org/abs/2408.00473
Autor:
Chiang, Hao-Tien Lewis, Xu, Zhuo, Fu, Zipeng, Jacob, Mithun George, Zhang, Tingnan, Lee, Tsang-Wei Edward, Yu, Wenhao, Schenck, Connor, Rendleman, David, Shah, Dhruv, Xia, Fei, Hsu, Jasmine, Hoech, Jonathan, Florence, Pete, Kirmani, Sean, Singh, Sumeet, Sindhwani, Vikas, Parada, Carolina, Finn, Chelsea, Xu, Peng, Levine, Sergey, Tan, Jie
An elusive goal in navigation research is to build an intelligent agent that can understand multimodal instructions including natural language and image, and perform useful navigation. To achieve this, we study a widely useful category of navigation
Externí odkaz:
http://arxiv.org/abs/2407.07775
Autor:
Moschopoulos, Vasileios, Kotsiopoulos, Thanasis, Parada, Pablo Peso, Nikiforidis, Konstantinos, Stergiadis, Alexandros, Papakostas, Gerasimos, Jalal, Md Asif, Zhang, Jisi, Drosou, Anastasios, Saravanan, Karthikeyan
State-of-the art Text-To-Music (TTM) generative AI models are large and require desktop or server class compute, making them infeasible for deployment on mobile phones. This paper presents an analysis of trade-offs between model compression and gener
Externí odkaz:
http://arxiv.org/abs/2406.17159