Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ye Thu Aung"'
Publikováno v:
2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8060800996c4432d28103a189175aa9f
https://doi.org/10.1109/summa57301.2022.9974010
https://doi.org/10.1109/summa57301.2022.9974010
Publikováno v:
2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::909437d4266d5a68724975b8492580c5
https://doi.org/10.1109/elconrus54750.2022.9755480
https://doi.org/10.1109/elconrus54750.2022.9755480
Publikováno v:
2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f83fd716ecd9e606a74c7836e025ac5c
https://doi.org/10.1109/summa53307.2021.9632011
https://doi.org/10.1109/summa53307.2021.9632011
Publikováno v:
2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS).
SVM based classification is based on supervised learning. The procedure is based on the supposition that the minor error in distinguishing higher will be the depth across hyper planes that are parallel. The key concept of the mechanism put forth inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc64abdc4a7fbf559ada61e239c9754e
https://doi.org/10.1109/iciccs48265.2020.9120924
https://doi.org/10.1109/iciccs48265.2020.9120924
Publikováno v:
2020 IEEE Conference on Computer Applications(ICCA).
the purpose of this work is to create a learning algorithm which is based on accumulated historical data on previously drilled wells. Wells will forecast an emergency accompanied by drilling. Such a decision support system will help the engineer time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06efca308510b07a7de8cf787e257565
https://doi.org/10.1109/icca49400.2020.9022816
https://doi.org/10.1109/icca49400.2020.9022816
Publikováno v:
2020 IEEE Conference on Computer Applications(ICCA).
The article deals with the problem of timely forecasting and classification of problems that arise in the process of well construction remains relevant. It is necessary to create a new methodology that should help drilling personnel to make timely de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2a7813669e9a2c18124ed703415fb64
https://doi.org/10.1109/icca49400.2020.9022812
https://doi.org/10.1109/icca49400.2020.9022812
Publikováno v:
BDET
The purpose of this work is to create a learning algorithm which is based on accumulated historical data on previously drilled wells. Wells will forecast an emergency accompanied by drilling. Such a decision support system will help the engineer time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77689e25ff5746392369d7e8c3cf9a0f
https://doi.org/10.1145/3378904.3378911
https://doi.org/10.1145/3378904.3378911
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
The article provides an overview of the methods of artificial intelligence — artificial neural networks and support vector machine, as well as the main areas of their application in the oil and gas sector. In this work three main areas of use of su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa75344d40c8d4d70cd485018257214b
https://doi.org/10.1109/eiconrus49466.2020.9039330
https://doi.org/10.1109/eiconrus49466.2020.9039330
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
The purpose of the work is to study the data mining existing approaches to solve the forecasting situations in oil wells problem based on their work parameters accumulated values. The various algorithms functioning were analyzed. From the data presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f76291a74fef8d9699d926305067fad4
https://doi.org/10.1109/eiconrus49466.2020.9039386
https://doi.org/10.1109/eiconrus49466.2020.9039386
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
The article deals with the problem of timely forecasting and classification of problems that arise in the process of oil well operating. It is necessary to create a new methodology that should help technological personnel to make timely decisions abo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35ccf31779c890ab84a558523f1bc024
https://doi.org/10.1109/eiconrus49466.2020.9039343
https://doi.org/10.1109/eiconrus49466.2020.9039343