Zobrazeno 1 - 10
of 1 229
pro vyhledávání: '"sparse autoencoder"'
Publikováno v:
Egyptian Informatics Journal, Vol 28, Iss , Pp 100559- (2024)
Heart disease continues to be a prominent cause of death globally, emphasizing the critical requirement for precise prediction techniques and prompt therapies. This research presents a new method that utilizes the collective capabilities of autoencod
Externí odkaz:
https://doaj.org/article/005fa21376414b76b897c19baa90129e
Autor:
Jorge Magalhães, Tomás Jorge, Rúben Silva, António Guedes, Diogo Ribeiro, Andreia Meixedo, Araliya Mosleh, Cecília Vale, Pedro Montenegro, Alexandre Cury
Publikováno v:
Railway Engineering Science, Vol 32, Iss 4, Pp 421-443 (2024)
Abstract Wayside monitoring is a promising cost-effective alternative to predict damage in the rolling stock. The main goal of this work is to present an unsupervised methodology to identify out-of-roundness (OOR) damage wheels, such as wheel flats a
Externí odkaz:
https://doaj.org/article/3756a7b582fe4bbca9b9a96603091c57
Autor:
Preethi S. Nair, Madhu S. Nair
Publikováno v:
IEEE Access, Vol 12, Pp 48846-48852 (2024)
High Efficiency Video Coding (HEVC) is designed to deliver a video communication with better quality at reduced bit rate. For intra coding, HEVC employs an effective hierarchical quad tree partitioning and an exhaustive optimal mode search which incr
Externí odkaz:
https://doaj.org/article/c247b794da0d4044aa92ee40625e8749
Autor:
N. Bharanidharan, S. R. Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mohamed Abbas, T. R. Mahesh, E. Mohan, Krishnamoorthy Venkatesan
Publikováno v:
IEEE Access, Vol 12, Pp 39285-39299 (2024)
Gene expression analysis can be used as a tool to detect cancer and the type of cancer in its early stages. However, the computational complexity for gene expression analysis is quite high due to the large amount of numerical data. Hence, dimensional
Externí odkaz:
https://doaj.org/article/7ab98ced2df543f4a7786cd88221ce0e
Autor:
Yongchao Yang, Pan Zhao
Publikováno v:
IEEE Access, Vol 12, Pp 24014-24026 (2024)
Network security situation awareness enables networks to actively and effectively defend against network attacks, relying on the extraction of network situation elements as an initial and decisive step. In existing studies, the stacked sparse autoenc
Externí odkaz:
https://doaj.org/article/1673678679c54e25ad55d197aad24b5e
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
With the widespread application of energy storage stations, BMS has become an important subsystem in modern power systems, leading to an increasing demand for improving the accuracy of SOC prediction in lithium-ion battery energy storage systems. Cur
Externí odkaz:
https://doaj.org/article/ab4b6098ae5e499aa7c32fb60d1c49fb
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Introduction: MicroRNAs (miRNAs) are small and non-coding RNA molecules which have multiple important regulatory roles within cells. With the deepening research on miRNAs, more and more researches show that the abnormal expression of miRNAs is closel
Externí odkaz:
https://doaj.org/article/292159e9013d4dc9992b52b5e84e79c6
Publikováno v:
IEEE Access, Vol 11, Pp 15174-15183 (2023)
The diagnostic study on single-fault with distinguishing features based on monitoring data analysis is mature and fruitful in recent years. However, the early fault signals collected by practical monitoring systems often possess the following charact
Externí odkaz:
https://doaj.org/article/c085d63afcb94090b44a2e35f3fd1004
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 1, Pp 70-84 (2023)
This paper presents a backpropagation neural network (BPNN) approach based on the sparse autoencoder (SAE) for short-term water demand forecasting. In this method, the SAE is used as a feature learning method to extract useful information from hourly
Externí odkaz:
https://doaj.org/article/01a438ebc9ab4b799e0893585a5865e0
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 3, Pp 5223-5242 (2023)
As an indispensable part of large Computer Numerical Control machine tool, rolling bearing faults diagnosis is particularly important. However, due to the imbalanced distribution and partially missing of collected monitoring data, such diagnostic iss
Externí odkaz:
https://doaj.org/article/5ed7066866694b48b7306c0786b324f4