Zobrazeno 1 - 10
of 18 026
pro vyhledávání: '"HOSSAIN, M"'
Scaling laws dictate that the performance of AI models is proportional to the amount of available data. Data augmentation is a promising solution to expanding the dataset size. Traditional approaches focused on augmentation using rotation, translatio
Externí odkaz:
http://arxiv.org/abs/2409.00547
Autor:
Farhan, Ahnaf, Hossain, M. Shahriar
In video analysis, understanding the temporal context is crucial for recognizing object interactions, event patterns, and contextual changes over time. The proposed model leverages adjacency and semantic similarities between objects from neighboring
Externí odkaz:
http://arxiv.org/abs/2408.12789
Secure data management and effective data sharing have become paramount in the rapidly evolving healthcare landscape. The advancement of generative artificial intelligence has positioned Multi-modal Large Language Models (MLLMs) as crucial tools for
Externí odkaz:
http://arxiv.org/abs/2407.00978
Autor:
Leung, C. H., Nagai, K., Nakano, K., Nawarathne, D., Dove, J., Prasad, S., Wuerfel, N., Aidala, C. A., Arrington, J., Ayuso, C., Barker, C. L., Brown, C. N., Chang, W. C., Chen, A., Christian, D. C., Dannowitz, B. P., Daugherity, M., Fassi, L. El, Geesaman, D. F., Gilman, R., Goto, Y., Guo, R., Hague, T. J., Holt, R. J., Hossain, M. F., Isenhower, D., Kinney, E., Klein, A., Kleinjan, D. W., Kudo, Y., Lin, P. -J., Liu, K., Liu, M. X., Lorenzon, W., McClellan, R. E., McGaughey, P. L., Medeiros, M. M., Miyachi, Y., Miyasaka, S., Morton, D. H., Nakahara, K., Nara, S., Pate, S. F., Peng, J. C., Pun, A., Ramson, B. J., Reimer, P. E., Rubin, J. G., Sanftl, F., Sawada, S., Sawada, T., Scott, M. B. C., Shibata, T. -A., Tadepalli, A. S., Teo, M., Towell, R. S., Uemura, S., Wang, S. G., Wickes, A. B., Wu, J., Ye, Z. H.
We report the $p+p$ and $p+d$ differential cross sections measured in the SeaQuest experiment for $J/\psi$ and $\psi\left(2S\right)$ production at 120 GeV beam energy covering the forward $x$-Feynman ($x_F$) range of $0.5 < x_F <0.9$. The measured cr
Externí odkaz:
http://arxiv.org/abs/2406.11459
Autor:
Qi, Yuanhang, Hossain, M. Shamim
The rapid proliferation of devices in the Internet of Things (IoT) has ushered in a transformative era of data-driven connectivity across various domains. However, this exponential growth has raised pressing concerns about environmental sustainabilit
Externí odkaz:
http://arxiv.org/abs/2407.05915
This paper presents the phase stability, opto-electronic and thermo-electric behavior of X2AuYZ6 (X = Cs, Rb; Z = Cl/Br/I) double perovskite halides by using the DFT method. The compounds belong to the cubic arrangement and are verified by the tolera
Externí odkaz:
http://arxiv.org/abs/2404.15693
Autor:
Ferdousi, Rahatara, Yang, Chunsheng, Hossain, M. Anwar, Laamarti, Fedwa, Hossain, M. Shamim, Saddik, Abdulmotaleb El
Recent advancements in cognitive computing, with the integration of deep learning techniques, have facilitated the development of intelligent cognitive systems (ICS). This is particularly beneficial in the context of rail defect detection, where the
Externí odkaz:
http://arxiv.org/abs/2401.00393
Vehicular Metaverses represent emerging paradigms arising from the convergence of vehicle road cooperation, Metaverse, and augmented intelligence of things. Users engaging with Vehicular Metaverses (VMUs) gain entry by consistently updating their Veh
Externí odkaz:
http://arxiv.org/abs/2312.17081
In this study, the effects of sulfur substitution on the structural, mechanical, electronic, optical, and thermodynamic properties of RbTaO3-xSx have been investigated using the WIEN2k code in the framework of density functional theory (DFT). The cub
Externí odkaz:
http://arxiv.org/abs/2310.01253
In this work, density functional theory (DFT) is used to find out the ground state structures of A2AuScX6 (A= Cs, Rb; X= Cl, Br, I) double Perovskite (DP) halides for the first time. The DP A2AuScX6 halides were studied for their structural phase sta
Externí odkaz:
http://arxiv.org/abs/2310.00611