Zobrazeno 1 - 10
of 388
pro vyhledávání: '"Q, Syed"'
Publikováno v:
IEEE Access, Vol 9, Pp 55879-55897 (2021)
The most pervasive segment of techniques in managing class imbalance in machine learning are re-sampling-based methods. The emergence of deep generative models for augmenting the size of the under-represented class, prompts one to review the question
Externí odkaz:
https://doaj.org/article/4a9d07c51a75479aac627072136355ef
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 2923 Issue 1, p1-14, 14p
Publikováno v:
Bangladesh Journal of Scientific and Industrial Research. 57:123-130
Oxidative stress is a significant source of the pathogenesis of many chronic diseases; that is why antioxidant behavior is one of the most commonly identified biological activities in citrus fruits. The pulp of citrus fruits is the sticky substance o
Publikováno v:
Entropy, Vol 23, Iss 3, p 279 (2021)
The pooling layer is at the heart of every convolutional neural network (CNN) contributing to the invariance of data variation. This paper proposes a pooling method based on Zeckendorf’s number series. The maximum pooling layers are replaced with Z
Externí odkaz:
https://doaj.org/article/0b3db4279af943ce873b872e591cbbba
Akademický článek
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Autor:
Showkat Ul Nabi, A. Muhee, Q. Syed, Summiya Ahmad, N. Nazir Shah, R. Razaq, S. Muzamil, D. M. Makhdoomi, Tariq Ashraf, Afroza Jan
Publikováno v:
BioMetals. 34:1081-1098
The present study was designed to evaluate the age-related changes in biometal and antimicrobial peptide (cathelicidin) concentration and their role in oxidative cum pro-inflammatory cascade in an ovine animal model. Clinically healthy ovine (n = 126
Autor:
Ahmed Ashraf Morgan, Jordan Abdi, Mohammed A. Q. Syed, Ghita El Kohen, Phillip Barlow, Marcela P. Vizcaychipi
Publikováno v:
Current robotics reports. 3(4)
Abstract Purpose of Review Robots are increasingly being adopted in healthcare to carry out various tasks that enhance patient care. This scoping review aims to establish the types of robots being used in healthcare and identify where they are deploy
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:989-1000
The recent popularity of smart cities and smart homes has made the adoption of Internet of Things (IoT) devices ubiquitous. Most of these IoT devices are low-end devices with limited capabilities. For neural network based predictive models, the low p
Publikováno v:
ACM Computing Surveys. 54:1-39
The phenomenon of Big Data continues to present moving targets for the scientific and technological state-of-the-art. This work demonstrates that the solution space of these challenges has expanded with deep learning now moving beyond traditional app
Publikováno v:
IEEE Access, Vol 9, Pp 55879-55897 (2021)
The most pervasive segment of techniques in managing class imbalance in machine learning are re-sampling-based methods. The emergence of deep generative models for augmenting the size of the under-represented class, prompts one to review the question