Zobrazeno 1 - 10
of 1 381
pro vyhledávání: '"Ayyub, P."'
Infrastructure construction, often dubbed an "industry of industries," is closely linked with government spending and public procurement, offering significant opportunities for improved efficiency and productivity through better transparency and info
Externí odkaz:
http://arxiv.org/abs/2412.00224
As AI systems become integral to critical operations across industries and services, ensuring their reliability and safety is essential. We offer a framework that integrates established reliability and resilience engineering principles into AI system
Externí odkaz:
http://arxiv.org/abs/2411.08981
Active learning (AL) optimizes data labeling efficiency by selecting the most informative instances for annotation. A key component in this procedure is an acquisition function that guides the selection process and identifies the suitable instances f
Externí odkaz:
http://arxiv.org/abs/2410.04275
The rapid growth of the Internet, driven by social media, web browsing, and video streaming, has made images central to the Web experience, resulting in significant data transfer and increased webpage sizes. Traditional image compression methods, whi
Externí odkaz:
http://arxiv.org/abs/2407.04542
Regression analysis is one of the most popularly used statistical technique which only measures the direct effect of independent variables on dependent variable. Path analysis looks for both direct and indirect effects of independent variables and ma
Externí odkaz:
http://arxiv.org/abs/2406.17445
The growing interest in satellite imagery has triggered the need for efficient mechanisms to extract valuable information from these vast data sources, providing deeper insights. Even though deep learning has shown significant progress in satellite i
Externí odkaz:
http://arxiv.org/abs/2406.00348
Addressing uncertainty in Deep Learning (DL) is essential, as it enables the development of models that can make reliable predictions and informed decisions in complex, real-world environments where data may be incomplete or ambiguous. This paper int
Externí odkaz:
http://arxiv.org/abs/2405.20230
Active learning (AL) techniques reduce labeling costs for training neural machine translation (NMT) models by selecting smaller representative subsets from unlabeled data for annotation. Diversity sampling techniques select heterogeneous instances, w
Externí odkaz:
http://arxiv.org/abs/2403.09259
Publikováno v:
Health Science Monitor, Vol 3, Iss 4, Pp 298-305 (2024)
Background & Aims: Corneal transplantation is considered the most transplanted solid tissue in humans. The purpose of the present investigation was to recognize the main indications and risk factors for allograft rejection. Materials & Methods: The m
Externí odkaz:
https://doaj.org/article/ed81c050b8c44ccc85f76dfdb8788a11
Autor:
Zia-ul-Sabah, Saif Aboud M. Alqahtani, Bandar Hezam Alghamdi, Javed Iqbal Wani, Shahid Aziz, Humayoun Khan Durrani, Ayyub Ali Patel, Imran Rangraze, Saleem Javaid Wani
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Type-D personality is an established predisposing factor for various diseases. Type-D traits have been shown to pose a 26% increased risk of coronary artery disease after controlling for other confounding factors. Significant asso
Externí odkaz:
https://doaj.org/article/c31971de08644e10a180bd075cb8b330