Zobrazeno 1 - 10
of 2 485
pro vyhledávání: '"artificial neural networks (ann)"'
Publikováno v:
Global Journal of Environmental Science and Management, Vol 10, Iss 4, Pp 1859-1876 (2024)
BACKGROUND AND OBJECTIVES: In recent decades, there has been significant advancement in scholarly research focused on detecting pollutants in marine environments and assessing the potential risks associated with seafood, particularly marine fish. The
Externí odkaz:
https://doaj.org/article/0c56852c218e404d8d39cf1f4a9bccfe
Autor:
M. İ. Yeşil, S. Göncü
Publikováno v:
Tropical Animal Science Journal, Vol 47, Iss 4 (2024)
The main objective of the research is to generate an alternative approach to classical techniques in the prediction of the somatic cell count (SCC), which is the gold standard indicator of subclinical mastitis. This approach involves using the physic
Externí odkaz:
https://doaj.org/article/fbd1f02bace74ec4ba4bc4cbb73273f8
Retrieval of carbon and inorganic phosphorus during hydrothermal carbonization: ANN and RSM modeling
Publikováno v:
Heliyon, Vol 10, Iss 24, Pp e40999- (2024)
In this study, modeling and optimization of Hydrothermal Carbonization (HTC) of Poultry litter were conducted to convert it into high-value materials. The aim was to understand the process and predict the effect of the influencing parameters on the p
Externí odkaz:
https://doaj.org/article/9d1b4a664dac4c199fdce3ac9757f30e
Autor:
Murat Eray KORKMAZ
Publikováno v:
Revista Română de Informatică și Automatică, Vol 34, Iss 2, Pp 65-74 (2024)
Artificial neural networks represent highly advanced and adaptable tools for addressing challenges, attributed to their capacity for learning through examples and forming generalisations. The present investigation involved the development of an Artif
Externí odkaz:
https://doaj.org/article/8bbc0cf57be04757b437e7a6e5ac0159
Publikováno v:
Petroleum Research, Vol 9, Iss 2, Pp 176-192 (2024)
In the petroleum industry, the analysis of petrophysical parameters is critical for efficient reservoir management, production optimization, development strategies, and accurate hydrocarbon reserve estimations. Over recent years, the integration of m
Externí odkaz:
https://doaj.org/article/f74f7d6f1cd14318ba1a60b4b51950f3
Publikováno v:
In Structures January 2025 71
Autor:
Hassan Raza, Zafar Akhtar
Publikováno v:
Modern Finance, Vol 2, Iss 2 (2024)
This study uses advanced machine learning models to predict stock prices in the Pakistani stock market using 27 technical indicators. It evaluates the predictive capabilities of four techniques, SVM, LSTM, and Random Forest for binary classification
Externí odkaz:
https://doaj.org/article/86356b3fd12a4e0a9f9f23d57b425e76
Retrieval of carbon and inorganic phosphorus during hydrothermal carbonization: ANN and RSM modeling
Publikováno v:
In Heliyon 30 December 2024 10(24)
Autor:
Santos, Amanda Vitória, Amaral, Míriam Cristina Santos ⁎, Oliveira, Sílvia Maria Alves Correa
Publikováno v:
In Journal of Water Process Engineering November 2024 67