Zobrazeno 1 - 10
of 28 090
pro vyhledávání: '"A. JAVAID"'
Autor:
A.B.P. Fontoura, A. Javaid, V. Sáinz de la Maza-Escolà, N.S. Salandy, S.L. Fubini, E. Grilli, J.W. McFadden
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 9, Pp 7842-7860 (2022)
ABSTRACT: To evaluate the effects of heat stress (HS) conditions and dietary organic acid and pure botanical (OA/PB) supplementation on gut permeability and milk production, we enrolled 46 multiparous Holstein cows [208 ± 4.65 dry matter intake (DMI
Externí odkaz:
https://doaj.org/article/2efeda1db61647b99319b4b52d0343ae
Backscatter Communication (BackCom) technology has emerged as a promising paradigm for the Green Internet of Things (IoT) ecosystem, offering advantages such as low power consumption, cost-effectiveness, and ease of deployment. While traditional Back
Externí odkaz:
http://arxiv.org/abs/2411.13440
We introduce a set of useful expressions of Differential Privacy (DP) notions in terms of the Laplace transform of the privacy loss distribution. Its bare form expression appears in several related works on analyzing DP, either as an integral or an e
Externí odkaz:
http://arxiv.org/abs/2411.09142
We conducted a multi-wavelength analysis of the blazar Mrk\,501, utilizing observations from \emph{Astro}Sat (SXT, LAXPC), \emph{Swift-UVOT}, and \emph{Fermi-LAT} during the period August 15, 2016 to March 27, 2022. The resulting multi-wavelength lig
Externí odkaz:
http://arxiv.org/abs/2411.00592
Automated waste recycling aims to efficiently separate the recyclable objects from the waste by employing vision-based systems. However, the presence of varying shaped objects having different material types makes it a challenging problem, especially
Externí odkaz:
http://arxiv.org/abs/2410.24139
Synthetic tabular data generation has gained significant attention for its potential in data augmentation, software testing and privacy-preserving data sharing. However, most research has primarily focused on larger datasets and evaluating their qual
Externí odkaz:
http://arxiv.org/abs/2410.01933
The activation functions are fundamental to neural networks as they introduce non-linearity into data relationships, thereby enabling deep networks to approximate complex data relations. Existing efforts to enhance neural network performance have pre
Externí odkaz:
http://arxiv.org/abs/2409.17021
Autor:
Aldhaheri, Lameya, Alshehhi, Noor, Manzil, Irfana Ilyas Jameela, Khalil, Ruhul Amin, Javaid, Shumaila, Saeed, Nasir, Alouini, Mohamed-Slim
The emerging field of smart agriculture leverages the Internet of Things (IoT) to revolutionize farming practices. This paper investigates the transformative potential of Long Range (LoRa) technology as a key enabler of long-range wireless communicat
Externí odkaz:
http://arxiv.org/abs/2409.11200
Publikováno v:
European Psychiatry, Vol 65, Pp S254-S254 (2022)
Introduction Despite the fact that adolescents have been at higher risk of distress during the COVID-19 pandemic, the effect of pandemic on psychotic-like experiences (PLEs) is not well described. Objectives The study’s objective is to evaluate if
Externí odkaz:
https://doaj.org/article/e0a1b2905da74dc4bfdca6313ddb0e07
Existing deep learning approaches leave out the semantic cues that are crucial in semantic segmentation present in complex scenarios including cluttered backgrounds and translucent objects, etc. To handle these challenges, we propose a feature amplif
Externí odkaz:
http://arxiv.org/abs/2407.09379