Zobrazeno 1 - 10
of 7 069
pro vyhledávání: '"least-squares support vector machine"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This paper proposes a transformer fault diagnosis method based on ACGAN and CGWO-LSSVM to address the problem of misjudgment and low diagnostic accuracy caused by the small number and uneven distribution of some fault samples in transformer
Externí odkaz:
https://doaj.org/article/c050bf14cab841a7a2eed0b32cdfe4ce
Autor:
Li Tao, Xinhua Xue
Publikováno v:
Journal of Civil Engineering and Management (2024)
Due to the uncertainty of soil condition and pile design characteristics, it is always a challenge for geotechnical engineers to accurately determine the bearing capacity of piles. The main objective of this study is to propose a hybrid model couplin
Externí odkaz:
https://doaj.org/article/e140092114db4c768b81320fd77250a9
Autor:
Niu, Lidian a, Zhao, Zeyan a, Tan, Jiawei a, Liang, Tao b, Zhang, Fuzheng c, Xiao, Ning d, He, Yi e, Xie, Shan a, Jing, Rui a, Lin, Jian a, Wang, Feng b, ⁎, Zhao, Yingru a, ⁎
Publikováno v:
In Advances in Applied Energy March 2025 17
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 4, Pp 128-132 (2024)
In current gas concentration prediction methods, there are problems of data processing uncertainty, feature extraction limitations, and prediction bias caused by subjective factors. In order to solve the above problems, a gas concentration prediction
Externí odkaz:
https://doaj.org/article/8e865eae22044af9901aae5be9e89b27
Publikováno v:
BioResources, Vol 19, Iss 2, Pp 3505-3519 (2024)
The extent of removal of lignin and hemicellulose are crucial indicators for evaluating the efficiency of enzymatic hydrolysis of crop straw. Numerous factors influence these two indices. Establishing a quantitative model that correlates these factor
Externí odkaz:
https://doaj.org/article/6dc04d8d9f334342875c2cddfb335ec2
Publikováno v:
Water Supply, Vol 24, Iss 4, Pp 1131-1148 (2024)
The improvement in predicting groundwater depth accuracy has significant implications for the management, ecological environment protection, and economic and social development of regional water resources. Employing empirical wavelet transform (EWT)
Externí odkaz:
https://doaj.org/article/4a3d3289675041b2b2951c73db4b80cc
Publikováno v:
Shipin yu jixie, Vol 40, Iss 2, Pp 57-62 (2024)
Objective: To solve the problems of low accuracy and poor efficiency in the existing rice quality testing methods of food enterprises. Methods: Based on a hyperspectral data acquisition system, a fast and non-destructive detection method for stored r
Externí odkaz:
https://doaj.org/article/f6b9ccbc4574405da9d97db324073984
On line prediction of roll grinding chatter based on EMD component and wavelet packet energy entropy
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 44, Iss 1, Pp 73-84 (2024)
To address the issue of partial feature loss in the single processing method within the time-frequency domain for roll grinding chatter, a combined time-frequency domain method is proposed to process signal feature. An intelligent algorithm is used t
Externí odkaz:
https://doaj.org/article/0980d95864dd4263937113865831d657
Publikováno v:
Sensors, Vol 24, Iss 23, p 7437 (2024)
In order to ensure the safe operation of adjacent buried pipelines under blast vibration, it is of great practical engineering significance to accurately predict the peak vibration velocity ofburied pipelines under blasting loads. Relying on the test
Externí odkaz:
https://doaj.org/article/fffdb35aaa3c4b9f8b6c04942497e3e4
Autor:
Mohammadali Ahmadi
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10441 (2024)
This study examines the efficacy of various machine learning models for predicting the uniaxial compressive strength (UCS) of rocks in oil and gas wells, which are essential for ensuring wellbore stability and optimizing drilling operations. The inve
Externí odkaz:
https://doaj.org/article/71589afca4874935a3ea92519ef7ac57