Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Farzam Babaei Semiromi"'
Autor:
Mirghani Seyed Someah, Farideh Golbabaei, Reza Arjomandi, Farzam Babaei Semiromi, Ali Mohammadi
Publikováno v:
بهداشت و ایمنی کار, Vol 13, Iss 4, Pp 701-713 (2023)
Introduction: Despite the legal prohibition of asbestos fiber usage in the country, numerous studies have documented its presence in the air of various cities, including Tehran. This urban air pollution stems from the extensive use of asbestos in con
Externí odkaz:
https://doaj.org/article/77907de68b35408887068837ca5e50a1
Autor:
Fariba Ebrahimi Fini, Farzam Babaei Semiromi, Mohammad Reza Tabesh, Mahdi Jalili Ghazizade, Amir Hushang Heidari
Publikováno v:
سلامت و محیط, Vol 15, Iss 3, Pp 523-538 (2022)
Background and Objective: The critical step of policymaking and planning for the local governments to select appropriate waste management methods, is comprehensive information on solid waste generation. Waste generation rate and composition may vary
Externí odkaz:
https://doaj.org/article/f3bc92ec78834f1f9fa88d7523b32141
Publikováno v:
Water, Air, & Soil Pollution. 234
Publikováno v:
Fibers and Polymers. 20:2453-2460
Nowadays, a cost-effective and energy-efficient separation technology is mandatory for the removal of oil contaminants from industrial wastewater. In this study, nanofibrous electrospun membranes based on polycaprolactone (PCL) with superhydrophobic
Publikováno v:
Journal of Molecular Structure. 1267:133555
Publikováno v:
Water Supply. 20:148-156
The issues of freshwater scarcity in arid and semi-arid areas could be reduced via treated municipal wastewater effluent (TMWE). Artificial intelligence methods, especially the fuzzy inference system, have proven their ability in TMWE quality evaluat
Autor:
Negin Hakiminejad, Sharosin Givargis, Azadeh Dabiri, Farzam Babaei Semiromi, Mahmood Mahmoodi
Publikováno v:
Environmental Engineering and Management Journal. 17:1545-1554
Several studies have been conducted in various fields comparing Mamdani and Sugeno fuzzy inference systems (FISs). This study contributes to the literature by comparing the performance of Mamdani and Sugeno hierarchical fuzzy systems (HFSs) in terms
Publikováno v:
Encyclopedia of Sustainability in Higher Education ISBN: 9783319639512
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b66f08d98e663bb365f4e066d564c50a
https://doi.org/10.1007/978-3-030-11352-0_10
https://doi.org/10.1007/978-3-030-11352-0_10