Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Sina Kazemi"'
Publikováno v:
Energies, Vol 14, Iss 20, p 6572 (2021)
The performance of turbochargers is heavily influenced by heat transfer. Conventional investigations are commonly performed under adiabatic assumptions and are based on the first law of thermodynamics, which is insufficient for perceiving the aerothe
Externí odkaz:
https://doaj.org/article/84f17148445d4b1292be9b4a3f1771e6
Autor:
Bakhshmand, Sina Kazemi, Saray, Rahim Khoshbakhti, Bahlouli, Keyvan, Eftekhari, Hajar, Ebrahimi, Afshin
Publikováno v:
In Energy 15 December 2015 93 Part 1:555-567
Publikováno v:
Energy and Buildings. 290:113084
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2937ede7f774d9341d66991eddcbd5c2
https://doi.org/10.1016/j.enbuild.2023.113084
https://doi.org/10.1016/j.enbuild.2023.113084
Autor:
Nikiforos Zacharof, Sina Kazemi Bakhshmand, Tianlin Niu, Felipe Rodriguez, Sheng Su, Tao Lu, Petri Soderena, Rasmus Pettinen, Konstantin Weller
Publikováno v:
Zacharof, N, Kazemi Bakhshmand, S, Niu, T, Rodriguez, F, Su, S, Lu, T, Soderena, P, Pettinen, R & Weller, K 2022, ' Pollutant Emissions from the Latest Generation of Heavy-Duty Vehicles in Europe and China ', SAE Technical Papers . https://doi.org/10.4271/2022-01-1024
Pollutant emissions from heavy-duty vehicles impact air quality and have substantial adverse health effects. Regulation is in place to limit the pollutant emissions of trucks and buses, to protect public health and the environment. In this study, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::029a7dd207b32a36a23f638eaaba6a1f
https://cris.vtt.fi/en/publications/e26992c3-b96c-4b4a-83aa-c2d303f1473b
https://cris.vtt.fi/en/publications/e26992c3-b96c-4b4a-83aa-c2d303f1473b
Publikováno v:
Quality and Reliability Engineering International. 37:2818-2833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a0880d96f8ffe6b743e2322c21f425c
https://doi.org/10.1002/qre.2891
https://doi.org/10.1002/qre.2891
Publikováno v:
Polymers for Advanced Technologies. 32:1654-1666
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90cfaa5c17dbee1cc618ca3063ac5827
https://doi.org/10.1002/pat.5202
https://doi.org/10.1002/pat.5202
Autor:
Sina Kazemian, Parisa Fallahtafti, Mohammad Sharifi, Negin Sadat Hosseini Mohammadi, Hamidreza Soleimani, Arman Soltani Moghadam, Elaheh Karimi, Yaser Sattar, Yaser Jenab, Mehdi Mehrani, Alimohammad Hajizeinali, Mina Iskander, Mehrshad Fathian Sabet, Negar Salehi, Karim Al‐Azizi, Diaa Hakim, Mahboob Alam, Kaveh Hosseini
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 21 (2024)
Background Limited data exist on long‐term outcomes after transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR). This meta‐analysis aims to elucidate outcome trends following TAVR versus SAVR in patients with
Externí odkaz:
https://doaj.org/article/5106e89883324ba38ce1df172856c69a
Publikováno v:
Physical review letters. 129(2)
Heat transport in turbulent thermal convection increases with thermal forcing, but in almost all studies the rate of this increase is slower than it would be if transport became independent of the molecular diffusivities-the heat transport scaling ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30fc8ae1f2ba8619ffd12e0ba766dd02
https://pubmed.ncbi.nlm.nih.gov/35867450
https://pubmed.ncbi.nlm.nih.gov/35867450
Publikováno v:
Proceedings of the IGSHPA Research Track 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64b5835e64363be26f777b893b0b2f01
https://doi.org/10.22488/okstate.22.000033
https://doi.org/10.22488/okstate.22.000033
Autor:
Mahbod Issaiy, Hossein Ghanaati, Shahriar Kolahi, Madjid Shakiba, Amir Hossein Jalali, Diana Zarei, Sina Kazemian, Mahsa Alborzi Avanaki, Kavous Firouznia
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The screening process for systematic reviews and meta-analyses in medical research is a labor-intensive and time-consuming task. While machine learning and deep learning have been applied to facilitate this process, these methods
Externí odkaz:
https://doaj.org/article/c8eacc790ef3462b9cb2272a0f7458f7