Zobrazeno 1 - 10
of 2 035
pro vyhledávání: '"LSSVM"'
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:
Applied Sciences, Vol 14, Iss 18, p 8538 (2024)
Accurate prediction of dust concentration is essential for effectively preventing and controlling mine dust. The environment of opencast mines is intricate, with numerous factors influencing dust concentration, making accurate predictions challenging
Externí odkaz:
https://doaj.org/article/5139865f72544464af8f0178fa2edbdf
Autor:
Xuebin Xie, Huaxi Zhang
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7733 (2024)
The increase in mining depth necessitates higher strength requirements for hard rock pillars, making mine pillar stability analysis crucial for pillar design and underground safety operations. To enhance the accuracy of predicting the stability state
Externí odkaz:
https://doaj.org/article/74bd84614d4e42ba99603058bea30a97
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 11, Pp 19941-19962 (2023)
The evaporation process is vital in alumina production, with mother liquor concentration serving as a critical control parameter. To address the challenge of online detection, we propose the introduction of a soft measurement strategy. First, due to
Externí odkaz:
https://doaj.org/article/2c9be9088c01489898711e9089e9eeac
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5822 (2024)
The permeability coefficient of landslide mass, a key parameter in the study of reservoir landslides, is commonly obtained through in situ and laboratory tests; however, the tests are costly and subject to high variability, leading to potential biase
Externí odkaz:
https://doaj.org/article/50ad218066ba4f76b099835a360c11ae
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5609 (2024)
Blasting prediction and parameter optimization can effectively improve blasting effectiveness and control production energy consumption. However, the presence of multiple factors and diverse effects in open-pit blasting increases the difficulty of ef
Externí odkaz:
https://doaj.org/article/7397ee54b2d643a797e5dd88c156daac
Publikováno v:
发电技术, Vol 44, Iss 4, Pp 534-542 (2023)
The oxygen content in flue gas is an important monitoring parameter of boiler operation, and also an important basis that reflects the perfection of combustion equipment and boiler operation. Quickly and accurately measuring the oxygen content in flu
Externí odkaz:
https://doaj.org/article/9782496e8881476faf1dd4113b197cc4
Autor:
LI Hao, WANG Shitong
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 7, Pp 1599-1608 (2023)
Machine learning is an important aspect of modern computer technology, and the support vector machine method has been widely used in all walks of life because of its good performance in recent years. The performance of support vector machine can be m
Externí odkaz:
https://doaj.org/article/e3aaa6736e63495881e3011c39d93a0c
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, the constraints faced by the power sector in terms of energy, economy and ecology are first studied in depth, and the relationship between investment efficiency and new power development is explored by using the Data Envelopment Analys
Externí odkaz:
https://doaj.org/article/7efe41bfdb6c430f9d98b599e75d4dff
Autor:
Liu Wenneng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The employment of vocational college graduates is a matter of social stability. In this paper, we first introduce modularized teaching in vocational college students’ employment guidance courses to unify the teaching of vocational college students
Externí odkaz:
https://doaj.org/article/63c9f64f2c5f4ea4a4df47126ee7afba