AKARSULARDA ÇÖZÜNMÜŞ OKSİJEN KONSANTRASYONUNUN REGRESYON TABANLI YÖNTEMLERLE MODELLENMESİ: HARŞİT ÇAYI ÖRNEĞİ

Autor: Osman Tuğrul Baki, Sinan Nacar, Adem Bayram

Publikováno v: Uludağ University Journal of The Faculty of Engineering, Vol 27, Iss 1, Pp 309-324 (2022)

Bu çalışmada çok değişkenli uyarlanabilir regresyon eğrileri (MARS) ve TreeNet gradyan arttırma makinesi (TreeNet) isimli regresyon tabanlı yöntemler kullanılarak çözünmüş oksijen (ÇO) konsantrasyonu modellemesi amaçlanmıştır. Mo

Externí odkaz: https://doaj.org/article/0611dfe123bb4969a187c079ec98adf2

Sand Content Prediction in Urban WWTPs Using MARS

Autor: Vanesa Mateo Pérez, Francisco Ortega Fernández, José Manuel Mesa Fernández, Henar Morán Palacios

Publikováno v: Water, Vol 12, Iss 1357, p 1357 (2020)
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
RUO: Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)
Water
Volume 12
Issue 5

The pre-treatment stage of wastewater treatment plants (WWTP), where most of the larger waste, including sand and fat, is removed, is of great importance for the performance and durability of these plants. This work develops a model that predicts the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4349fac1977091feddc455df6deabc0c
https://www.mdpi.com/2073-4441/12/5/1357

Measuring international migration in Azerbaijan

Autor: Serhat Yüksel, Shahriyar Mukhtarov, Anar Iskandarov, Jeyhun I. Mikayilov, Ceyhun Mahmudlu

Publikováno v: Sustainability; Volume 10; Issue 1; Pages: 132
Sustainability, Vol 10, Iss 1, p 132 (2018)

WOS: 000425082600130 International migration significantly affects economic, social, cultural, and political factors of the country. Owing to this situation, it can be said that the reasons of international migration should be analyzed in order to co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd792da62fa9246fc2318c5900aa618c
https://hdl.handle.net/20.500.12511/3828

Determining influencing factors of unemployment in Turkey with MARS method

Autor: Serhat YUKSEL, Zafer Adalı

Publikováno v: International Journal of Commerce and Finance, Vol 3, Iss 2, Pp 25-36 (2017)

Higher unemployment rate is the problem of most of the countries in the world. Because of this situation, these countries try to make many actions in order to decrease unemployment rate. However, to make such a recommendation, first of all, the reaso

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::79b20c82eb44ad3a2ed8c5acb22f4db9
https://hdl.handle.net/11467/1752

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