Zobrazeno 1 - 10
of 18 475
pro vyhledávání: '"P. Amiri"'
Publikováno v:
Bulgarian Journal of Veterinary Medicine, Vol 27, Iss 3, Pp 364-374 (2024)
Because the success of treating Staphylococcus aureus (S. aureus) mastitis depends on numerous factors, different cure rates have been reported. Since biofilm production is one of the most critical factors for pathogenicity and antibiotic resistance,
Externí odkaz:
https://doaj.org/article/f91ad1be929a480eb306b450419b978e
Publikováno v:
Journal of Electrical and Computer Engineering Innovations, Vol 10, Iss 1, Pp 89-100 (2022)
Background and Objectives: Due to the increased sensitive loads, improving power quality in distribution grids by custom power tools is one of the important fields of electrical engineering. This paper proposes a new kind of three-phase three-wire dy
Externí odkaz:
https://doaj.org/article/9dfe7d066f6d4ec1bae6d77e0977bc27
Autor:
Elgaar, Mohamed, Amiri, Hadi
We introduce LingGen, a novel approach for controlled text generation that offers precise control over a wide array of linguistic attributes, even as the number of attributes varies. LingGen employs a dynamic P-MASKING strategy, which samples masking
Externí odkaz:
http://arxiv.org/abs/2410.24201
Autor:
Elgaar, Mohamed, Amiri, Hadi
We present a novel approach to paraphrase generation that enables precise control and fine-tuning of 40 linguistic attributes for English. Our model is an encoder-decoder architecture that takes as input a source sentence and desired linguistic attri
Externí odkaz:
http://arxiv.org/abs/2410.24199
Autor:
Shah, V., Shin, K., Leung, C., Fong, W., Eftekhari, T., Amiri, M., Andersen, B. C., Andrew, S., Bhardwaj, M., Brar, C., Cassanelli, T., Chatterjee, S., Curtin, A. P., Dobbs, M., Dong, Y., Dong, F. A., Fonseca, E., Gaensler, B. M., Halpern, M., Hessels, J. W. T., Ibik, A. L., Jain, N., Joseph, R. C., Kaczmarek, J., Kahinga, L. A., Kaspi, V. M., Kharel, B., Landecker, T., Lanman, A. E., Lazda, M., Main, R., Mas-Ribas, L., Masui, K. W., Mckinven, R., Mena-Parra, J., Meyers, B. W., Michilli, D., Nimmo, K., Pandhi, A., Patil, S. S., Pearlman, A. B., Pleunis, Z., Prochaska, J. X., Rafiei-Ravandi, M., Sammons, M., Sand, K. R., Scholz, P., Smith, K., Stairs, I.
We report the discovery of the repeating fast radio burst source FRB 20240209A using the CHIME/FRB telescope. We have detected 22 bursts from this repeater between February and July 2024, six of which were also recorded at the Outrigger station KKO.
Externí odkaz:
http://arxiv.org/abs/2410.23374
Neural Architecture Search (NAS) methods autonomously discover high-accuracy neural network architectures, outperforming manually crafted ones. However, The NAS methods require high computational costs due to the high dimension search space and the n
Externí odkaz:
http://arxiv.org/abs/2410.22487
Autor:
Lehmer, Bret D., Monson, Erik B., Eufrasio, Rafael T., Amiri, Amirnezam, Doore, Keith, Basu-Zych, Antara, Garofali, Kristen, Oskinova, Lidia, Andrews, Jeff J., Antoniou, Vallia, Geda, Robel, Greene, Jenny E., Kovlakas, Konstantinos, Lazzarini, Margaret, Richardson, Chris T.
We present a new empirical framework modeling the metallicity and star-formation history (SFH) dependence of X-ray luminous ($L > 10^{36}$ ergs s$^{-1}$) point-source population luminosity functions (XLFs) in normal galaxies. We expect the X-ray poin
Externí odkaz:
http://arxiv.org/abs/2410.19901
Autor:
Alimohammadi, Amirhossein, Nag, Sauradip, Taghanaki, Saeid Asgari, Tagliasacchi, Andrea, Hamarneh, Ghassan, Amiri, Ali Mahdavi
Segmenting an object in a video presents significant challenges. Each pixel must be accurately labelled, and these labels must remain consistent across frames. The difficulty increases when the segmentation is with arbitrary granularity, meaning the
Externí odkaz:
http://arxiv.org/abs/2410.18538
We address the challenge of creating 3D assets for household articulated objects from a single image. Prior work on articulated object creation either requires multi-view multi-state input, or only allows coarse control over the generation process. T
Externí odkaz:
http://arxiv.org/abs/2410.16499
Autor:
Hossain, Elias, Nuzhat, Tasfia, Masum, Shamsul, Rahimi, Shahram, Mittal, Sudip, Golilarz, Noorbakhsh Amiri
Accurate classification of cancer-related medical abstracts is crucial for healthcare management and research. However, obtaining large, labeled datasets in the medical domain is challenging due to privacy concerns and the complexity of clinical data
Externí odkaz:
http://arxiv.org/abs/2410.15198