Zobrazeno 1 - 10
of 1 711
pro vyhledávání: '"intelligent optimization"'
Publikováno v:
Petroleum Exploration and Development, Vol 51, Iss 4, Pp 1035-1048 (2024)
To address the key problems in the application of intelligent technology in geothermal development, smart application scenarios for geothermal development are constructed. The research status and existing challenges of intelligent technology in each
Externí odkaz:
https://doaj.org/article/9114e5a0283a4509ac0877d7163cac4c
Autor:
Fahd S. Alharithi, Ahmad A. Alzahrani
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 640-653 (2024)
Combining artificial intelligence (AI) and optimization techniques in the quest for environmental sustainability has emerged as a promising strategy. This paper explores the potential of a Federated Long Short-Term Memory (Fed LSTM) model in addressi
Externí odkaz:
https://doaj.org/article/34b1504b94c34ac1a5467a8b7188184c
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 4, Pp 743-750 (2024)
Purposes In order to predict the traffic of 5G base stations more accurately and analyze the tidal phenomenon, a traffic prediction method of GAN model with differential algorithm is proposed to improve the gray wolf optimized LSTM. And the modified
Externí odkaz:
https://doaj.org/article/e9e7bb0e0f784e29ab42f57c756bdd2d
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6409-6420 (2024)
Abstract The challenge of predicting time series with limited data has evolved over time due to nonlinearity, complexity, and limited information. It can be perceived as a mapping of dynamical systems in one-dimensional space. This article proposes a
Externí odkaz:
https://doaj.org/article/ed9431f251f3475695427a3dfb48fb19
Autor:
Ying LIU, Yahui FAN, Wenjing HENG, Pingping XU, Hui YUE, Yinli BI, Hongbo NIU, Shaoguo TIAN, Pengju ZU, Manhong CAO, Qiguang DONG
Publikováno v:
Meitan xuebao, Vol 49, Iss 6, Pp 2799-2810 (2024)
Mining will destroy and occupy a large amount of land resources and cause lasting negative impact on ecological environment, so it is urgent to evaluate the change of ecological environment quality in mining area. In order to accurately monitor the e
Externí odkaz:
https://doaj.org/article/a4c45731d8f4499185335929ae654410
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract Non intrusive load monitoring belongs to the key technologies of intelligent power management systems, playing a crucial role in smart grids. To achieve accurate identification and prediction of electricity load, intelligent optimization alg
Externí odkaz:
https://doaj.org/article/763b268f5b78492ca1441c4527da11d1
Publikováno v:
Intelligent Systems with Applications, Vol 23, Iss , Pp 200419- (2024)
Power forecasting plays a crucial role in the operation of smart grid system, which is indispensable for making the operation plan of power system, improving economic efficiency and ensuring the quality of power supply. In order to enhance the accura
Externí odkaz:
https://doaj.org/article/b51c7ae9d5fc43afbc21d547ec87686b
Publikováno v:
Ciência e Agrotecnologia, Vol 48 (2024)
ABSTRACT To quickly and accurately assess tea plant growth, this study aims to find a new way to predict the chlorophyll content in tea plant canopies using machine learning. Using remotely piloted aircraft equipped with multispectral cameras, images
Externí odkaz:
https://doaj.org/article/32544e5870ec4e369073af4bf9ea3a92
Publikováno v:
Agricultural Water Management, Vol 301, Iss , Pp 108959- (2024)
Efficient water distribution within canal systems is essential for conserving water resources and enhancing irrigation efficiency, especially under conditions of constrained water supply. This study proposed an innovative optimization model for canal
Externí odkaz:
https://doaj.org/article/fc403e85a1b14652a170f49763624dbf
Publikováno v:
Shipin Kexue, Vol 45, Iss 6, Pp 244-253 (2024)
In this study, a method for the rapid quantitative determination of the content of high-value vegetable oil in blended edible vegetable oils (BEVO) was proposed based on Raman spectroscopy and a selection algorithm of spectral characteristic interval
Externí odkaz:
https://doaj.org/article/bc91fc2633474e00a851d39eaebcc210