Zobrazeno 1 - 10
of 2 408
pro vyhledávání: '"High dimensionality"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-75 (2024)
Abstract RNA Sequencing (RNA-Seq) has been considered a revolutionary technique in gene profiling and quantification. It offers a comprehensive view of the transcriptome, making it a more expansive technique in comparison with micro-array. Genes that
Externí odkaz:
https://doaj.org/article/fdb19399eec2450b8bc83bc4fa23ac15
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110673- (2024)
Human Activity Recognition (HAR) has emerged as a critical research area due to its extensive applications in various real-world domains. Numerous CSI-based datasets have been established to support the development and evaluation of advanced HAR algo
Externí odkaz:
https://doaj.org/article/a4475ad316fd4daf8e478d3076223dda
Publikováno v:
IEEE Access, Vol 12, Pp 42385-42400 (2024)
Markov Chain Monte Carlo (MCMC) is a robust statistical approach for estimating posterior distributions. However, the significant computational cost associated with MCMC presents a considerable challenge, complicating the selection of an appropriate
Externí odkaz:
https://doaj.org/article/a467c4989d474bc7986e828720685875
Publikováno v:
IEEE Access, Vol 12, Pp 18536-18544 (2024)
Uncertainty quantification (UQ) in polynomial chaos expansion (PCE) suffers from the curse of dimensionality, which is fundamentally reflected in that the number of the PCE coefficients to be found grows rapidly as the number of random inputs increas
Externí odkaz:
https://doaj.org/article/02378985977a4f459dc5a79adfd80bea
Publikováno v:
Algorithms, Vol 17, Iss 8, p 342 (2024)
This study presents a novel method, termed RBAVO-DE (Relief Binary African Vultures Optimization based on Differential Evolution), aimed at addressing the Gene Selection (GS) challenge in high-dimensional RNA-Seq data, specifically the rnaseqv2 llumi
Externí odkaz:
https://doaj.org/article/6efd5ed22d594a15bb2bfd1d2b9f4e07
Autor:
Armando Bolívar, Vicente García, Roberto Alejo, Rogelio Florencia-Juárez, J. Salvador Sánchez
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5845 (2024)
An innovative strategy for organizations to obtain value from their large datasets, allowing them to guide future strategic actions and improve their initiatives, is the use of machine learning algorithms. This has led to a growing and rapid applicat
Externí odkaz:
https://doaj.org/article/f418d58f345f4122b387eb4fc2e9ae62
Publikováno v:
Egyptian Informatics Journal, Vol 24, Iss 2, Pp 241-255 (2023)
Deep analysis of genomic data reveals that many deadly diseases are generated due to genetic mutation. To make the health care system more robust, a machine learning researcher’s prime intention is to classify the genomic data more efficiently with
Externí odkaz:
https://doaj.org/article/eda683123d904790a4830949d20a4e42
Publikováno v:
AIMS Mathematics, Vol 8, Iss 9, Pp 19993-20017 (2023)
Energy operations and schedules are significantly impacted by load and energy forecasting systems. An effective system is a requirement for a sustainable and equitable environment. Additionally, a trustworthy forecasting management system enhances th
Externí odkaz:
https://doaj.org/article/35485de43b16497691de6388343192e8
Autor:
Gamal Alkawsi, Redhwan Al-amri, Yahia Baashar, Sara Ghorashi, Eatedal Alabdulkreem, Sieh Kiong Tiong
Publikováno v:
Alexandria Engineering Journal, Vol 70, Iss , Pp 503-513 (2023)
In a world of connectivity empowered by the advancement of the Internet of Things (IoT), an infinite number of data streams have emerged. Thus, data stream clustering is crucial for extracting hidden knowledge and data mining. Various data stream clu
Externí odkaz:
https://doaj.org/article/67059100849740f288bb58d06d176f34
Autor:
Jingying Yang
Publikováno v:
Mathematics, Vol 12, Iss 7, p 1045 (2024)
This study addresses the challenge of estimating high-dimensional covariance matrices in financial markets, where traditional sparsity assumptions often fail due to the interdependence of stock returns across sectors. We present an innovative element
Externí odkaz:
https://doaj.org/article/1f227234d2f941b7a32d85c7694e7822