Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Olgun Aydin"'
Publikováno v:
Energies, Vol 15, Iss 9, p 3159 (2022)
Wind energy (WE), which is one of the renewable energy (RE) sources for generating electricity, has been making a significant contribution to obtaining clean and green energy in recent years. Fitting an appropriate statistical distribution to the win
Externí odkaz:
https://doaj.org/article/5963eadd7c6145cd83717047feb44f31
Autor:
Olgun Aydin
Web Scraping techniques are getting more popular, since data is as valuable as oil in 21st century. Through this book get some key knowledge about using XPath, regEX; web scraping libraries for R like rvest and RSelenium technologies. Key FeaturesTec
Publikováno v:
EUROPEAN RESEARCH STUDIES JOURNAL. :760-774
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::468d0762c6ecbc3b77351f2027c8c7e3
https://doi.org/10.35808/ersj/2804
https://doi.org/10.35808/ersj/2804
Publikováno v:
Energies; Volume 15; Issue 9; Pages: 3159
Wind energy (WE), which is one of the renewable energy (RE) sources for generating electricity, has been making a significant contribution to obtaining clean and green energy in recent years. Fitting an appropriate statistical distribution to the win
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::d00ba2aa26655d1caf5c5523259b2589
Wind energy (WE), which is one of the renewable energy (RE) sources for generating electricity, has been making a significant contribution to obtaining clean and green energy in recent years. Fitting an appropriate statistical distribution to the win
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce71c18acbfd1606c90b4e9d48a421cf
http://repozytorium.umk.pl/handle/item/6738
http://repozytorium.umk.pl/handle/item/6738
Autor:
Krystian Zieliński, Olgun Aydin
Publikováno v:
Contributions to Economics ISBN: 9783030852535
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afbd93529f43f6e604b30810b9dc99f7
https://doi.org/10.1007/978-3-030-85254-2_28
https://doi.org/10.1007/978-3-030-85254-2_28
Autor:
Olgun Aydin, Semra Erpolat Taşabat
Publikováno v:
Volume: 35, Issue: 3 1200-1210
Gazi University Journal of Science
Gazi University Journal of Science
Predictive maintenance (PdM) is a type of approach for maintenance processes, allowing maintenance actions to be managed depending on the machine's current condition. Maintenance is therefore carried out before failures occur. The approach doesn’t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90ac7f46da9538b57f4bbb9e72986c2a
https://dergipark.org.tr/tr/pub/gujs/issue/69473/937169
https://dergipark.org.tr/tr/pub/gujs/issue/69473/937169
The book aims to draw attention to the weaknesses in Multi-Criteria Decision-Making (MCDM) methods and provide insights to improve the decision-making process. By addressing these weaknesses, it seeks to enhance the accuracy and effectiveness of MCDM
Autor:
Olgun Aydin, Semra Erpolat Taşabat
Deep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e34c69beb54f296e60d74c701c6f92f
https://doi.org/10.4018/978-1-7998-3238-6.ch008
https://doi.org/10.4018/978-1-7998-3238-6.ch008
Publikováno v:
Volume: 7, Issue: 1 124-129
Journal of Business Economics and Finance
Journal of Business Economics and Finance
Purpose- Households, investors and companies who want to make an investment on residential properties are interested in sales prices and rental values that vary depending on regional factors, location and attributes of residential units. It is the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4cb332f58705747d2a3c96f4ba74b79
https://doi.org/10.17261/pressacademia.2018.801
https://doi.org/10.17261/pressacademia.2018.801