Zobrazeno 1 - 10
of 1 648
pro vyhledávání: '"unbalanced data"'
Autor:
Mohamed Houssemeddine Sellami, Ida Di Mola, Lucia Ottaiano, Eugenio Cozzolino, Pasquale De Vita, Mauro Mori
Publikováno v:
Frontiers in Agronomy, Vol 6 (2024)
Durum wheat, a staple crop in Italy, faces substantial challenges due to increasing droughts and rising temperatures. This study examines the grain yield, agronomic traits, and quality of 41 durum wheat varieties over ten growing seasons in Southern
Externí odkaz:
https://doaj.org/article/bc304fd11e224c6f8c5eead66a0fb911
Autor:
Gaston Gustavo Rios, Pedro Dal Bianco, Franco Ronchetti, Facundo Quiroga, Santiago Ponte Ahón, Oscar Stanchi, Waldo Hasperué
Publikováno v:
Journal of Computer Science and Technology, Vol 24, Iss 2 (2024)
Despite recent advances in Large Language Models in text processing, Sign Language Recognition (SLR) remains an unresolved task. This is, in part, due to limitations in the available data. In this paper, we investigate combining 1D convolutions with
Externí odkaz:
https://doaj.org/article/caeb998b738d4b0d93b9f321b5f8e26b
Publikováno v:
Zhongguo dizhi zaihai yu fangzhi xuebao, Vol 35, Iss 3, Pp 141-151 (2024)
China is a nation severely impacted by landslide disasters, which poses a great threat to the lives and properties of people in the disaster-affected areas. Landslide susceptibility assessment, as an important tool for landslide risk prediction, is o
Externí odkaz:
https://doaj.org/article/61dee0a4b22243c7ab00a9acf1f9c650
Autor:
Yang Yang, Tianyu Lan, Yang Wang, Fengtian Li, Liyan Liu, Xupeng Huang, Fei Gao, Shuhua Jiang, Zhijun Zhang, Xing Chen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Heart disease is the world’s leading cause of death. Diagnostic models based on electrocardiograms (ECGs) are often limited by the scarcity of high-quality data and issues of data imbalance. To address these challenges, we propose a condit
Externí odkaz:
https://doaj.org/article/f9629ad107b34f0bae4e1ac3e1cf4339
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 5, Pp 1135-1159 (2024)
Synthetic minority oversampling technique (SMOTE) has become one of the mainstream methods for dealing with unbalanced data due to its ability to effectively deal with minority samples, and many SMOTE improvement algorithms have been proposed, but ve
Externí odkaz:
https://doaj.org/article/2d5f7754b1404995b5028bc3a1234e45
Autor:
Mohammadreza Nehzati
Publikováno v:
Memories - Materials, Devices, Circuits and Systems, Vol 8, Iss , Pp 100106- (2024)
This study pioneers the tailored application of Convolutional Neural Networks (CNNs) for addressing the challenge of unbalanced data in software engineering, a relatively unexplored domain for CNN utilization. Unlike conventional methods, our framewo
Externí odkaz:
https://doaj.org/article/7060392d3e234978adfb9e92b4a2fb46
Publikováno v:
电力工程技术, Vol 43, Iss 2, Pp 170-178 (2024)
The insulation performance of transformer bushings is a crucial aspect that directly affects the safe operation of equipment. To diagnose the insulation status of transformer bushings and mitigate the impact of small-sample imbalanced data on diagnos
Externí odkaz:
https://doaj.org/article/379bc54455594030895ab417dba6007b
Autor:
Roudani Mohammed, El Moutaouakil Karim
Publikováno v:
IEEE Access, Vol 12, Pp 158742-158765 (2024)
The Synthetic Minority Over-Sampling Technique (SMOTE) is one of the most well-known methods to solve the unequal class distribution problem in imbalanced datasets. However, it has three shortcomings: (1) it may cause the over-generalization problem
Externí odkaz:
https://doaj.org/article/1cb752e4f78344c29f63d059e9e26de1
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 1, Pp 24-31 (2024)
For the problem of manufacturing system residual life prognosis with insufficient small sample data and unbalanced distribution, this paper proposes a model for equipment health status analysis and life prognosis based on improved ant colony optimiza
Externí odkaz:
https://doaj.org/article/4e06ea1f26074cbb8fec1a1a5ce73da3
Publikováno v:
IEEE Access, Vol 12, Pp 42068-42082 (2024)
Rolling bearings in production practice usually serve in a healthy state. Some fault state labels are scarce or even no labels, resulting in unbalanced data categories. Meanwhile, frequent working condition switching results in significant difference
Externí odkaz:
https://doaj.org/article/9bd48f28b3564262add9dcd424d60499