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An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation

Autor: Alsafadi, Farah, Yaseen, Mahmoud, Wu, Xu

The confluence of ultrafast computers with large memory, rapid progress in Machine Learning (ML) algorithms, and the availability of large datasets place multiple engineering fields at the threshold of dramatic progress. However, a unique challenge i

Externí odkaz: http://arxiv.org/abs/2410.19063

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Akademický článek

Medication Error During the Day and Night Shift on Weekdays and Weekends: A Single Teaching Hospital Experience in Riyadh, Saudi Arabia

Autor: Aljuaid M, Alajman N, Alsafadi A, Alnajjar F, Alshaikh MK

Publikováno v: Risk Management and Healthcare Policy, Vol Volume 14, Pp 2571-2578 (2021)

Mohammed Aljuaid,1 Najla Alajman,2 Afraa Alsafadi,3 Farrah Alnajjar,4 Mashael Alshaikh3 1Department of Health Administration, College of Business Administration, King Saud University, Riyadh, Saudi Arabia; 2Department of Rehabilitation, Sultan Bin Ab

Externí odkaz: https://doaj.org/article/4e447bba1b374d409eb4ed531f8747e4

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Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks

Autor: Alsafadi, Farah, Furlong, Aidan, Wu, Xu

Deep generative models (DGMs) have proven to be powerful in generating realistic data samples. Their capability to learn the underlying distribution of a dataset enable them to generate synthetic data samples that closely resemble the original traini

Externí odkaz: http://arxiv.org/abs/2409.05790

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Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks

Autor: Furlong, Aidan, Alsafadi, Farah, Palmtag, Scott, Godfrey, Andrew, Wu, Xu

The development of Crud-Induced Power Shift (CIPS) is an operational challenge in Pressurized Water Reactors that is due to the development of crud on the fuel rod cladding. The available predictive tools developed previously, usually based on fundam

Externí odkaz: http://arxiv.org/abs/2407.04726

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Akademický článek

The influence of entrepreneurial innovations in building competitive advantage: the mediating role of entrepreneurial thinking

Autor: Alsafadi, Yousef, Aljuhmani, Hasan Yousef

Publikováno v: Kybernetes, 2023, Vol. 53, Issue 11, pp. 4051-4073.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/K-11-2022-1540

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Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets

Autor: Alsafadi, Farah, Wu, Xu

Deep learning (DL) has achieved remarkable successes in many disciplines such as computer vision and natural language processing due to the availability of ``big data''. However, such success cannot be easily replicated in many nuclear engineering pr

Externí odkaz: http://arxiv.org/abs/2308.10120

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Akademický článek

Esophageal stent placement as a therapeutic option for iatrogenic esophageal perforation in children

Autor: Alsafadi Ahmad, Louis M Wong Kee Song, Imad Absah

Publikováno v: Avicenna Journal of Medicine, Vol 06, Iss 02, Pp 51-53 (2016)

Iatrogenic esophageal perforation (IEP) is a potentially serious adverse event of interventional endoscopy. The approach to IEP varies from surgical repair for large perforations to conservative treatment for small contained perforations. We report a

Externí odkaz: https://doaj.org/article/d06fac72300d4f07a2f71715955154dd

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