Zobrazeno 1 - 10
of 199
pro vyhledávání: '"artificial neutral network"'
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 13, Iss 10, Pp 2049-2062 (2023)
Abstract The growing global energy demand and strict environmental policies motivate the use of technology and performance improvement techniques in drilling operations. In the traditional drilling method, the effort and time required to optimize dri
Externí odkaz:
https://doaj.org/article/df9a2dde3307414c9ec79bd1294f20fa
Publikováno v:
Journal of Nigerian Society of Physical Sciences, Vol 5, Iss 1 (2023)
The versatility of Polyethylene terephthalate (PET) as a material with numerous applications in the food industry and its recalcitrance to chemical and microbial degradation has recently made it an environmental nuisance. In this study, we applied co
Externí odkaz:
https://doaj.org/article/eaff3537868d41369cef42fc0066bbe9
Publikováno v:
Ecological Indicators, Vol 145, Iss , Pp 109720- (2022)
Soil erodibility (K) reflects the sensitivity of soil to detachment and transport and is a key factor for estimating the loss of soil. Most of the models for estimating K are complex and experiential, simple and local estimation model in the hilly an
Externí odkaz:
https://doaj.org/article/b3e711d1d8fb442487d61fa156a3a14c
Autor:
Paździor, Artur, Kłosowski, Grzegorz
Publikováno v:
Finanse, Rynki Finansowe, Ubezpieczenia / Finance, Financial Markets, Insurance. (94 (2)):61-73
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=787481
Publikováno v:
Symmetry, Vol 14, Iss 2, p 377 (2022)
Current inspection for installation quality of high formwork is conducted by site managers based on personal experience and intuition. This non-systematic inspection is laborious and it is difficult to provide accurate dimension measurements for high
Externí odkaz:
https://doaj.org/article/08c152b09d594a30b17afde11038ff43
Publikováno v:
Iranian Journal of Health, Safety and Environment, Vol 4, Iss 2, Pp 705-715 (2017)
Forecasting changes in level of the reservoir are important in Construction, design and estimate the volume of reservoirs and also in managing of supplying water. In this study, we have used different models such as Artificial Neutral Network (ANN),
Externí odkaz:
https://doaj.org/article/abc743fc99a94944a380a2d43d0e1775
Publikováno v:
South African Journal of Geomatics; Vol. 8 No. 2 (2019); 282-293
This study highlights the usage of deep learning artificial neural networks in the assessment of groundwater vulnerability of a coalfield. The network uses the DRIST model with parameters (depth to water level, recharge, impact of the vadose zone, so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b84228fadd5f25e8450fd74979ba2bd5
https://doi.org/10.4314/sajg.v8i2.12
https://doi.org/10.4314/sajg.v8i2.12
Akademický článek
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Autor:
Xiaowei Chen, Yunjun Yao, Yufu Li, Yuhu Zhang, Kun Jia, Xiaotong Zhang, Ke Shang, Junming Yang, Xiangyi Bei, Xiaozheng Guo
Publikováno v:
Sensors, Vol 20, Iss 17, p 4773 (2020)
Ocean latent heat flux (LHF) is an essential variable for air–sea interactions, which establishes the link between energy balance, water and carbon cycle. The low-latitude ocean is the main heat source of the global ocean and has a great influence
Externí odkaz:
https://doaj.org/article/36fb151630ab4d9ba644fba3e8519a4c
Publikováno v:
Transport, Vol 33, Iss 2 (2018)
The primary objective of this paper is to develop models to predict bus arrival time at a target stop using actual multi-route bus arrival time data from previous stop as inputs. In order to mix and fully utilize the multiple routes bus arrival time
Externí odkaz:
https://doaj.org/article/71712fddb2804966a05ef890eca67e39