Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Amir Hossein Raffiee"'
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 327-336 (2019)
Thermal performance of pulsating heat pipes (PHPs) is dependent to several factors. Inner and outer diameter of tube, filling ratio, thermal conductivity, heat input, inclination angle, and length of each section are the most influential factors in t
Externí odkaz:
https://doaj.org/article/7b5f776705e74776b418060dca4732c0
Autor:
Murali K. Maruthamuthu, Amir Hossein Raffiee, Denilson Mendes De Oliveira, Arezoo M. Ardekani, Mohit S. Verma
Publikováno v:
MicrobiologyOpen, Vol 9, Iss 11, Pp n/a-n/a (2020)
Abstract Deep learning has the potential to enhance the output of in‐line, on‐line, and at‐line instrumentation used for process analytical technology in the pharmaceutical industry. Here, we used Raman spectroscopy‐based deep learning strate
Externí odkaz:
https://doaj.org/article/0b061907726444c38b19d5d5a3a3c130
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 13, Iss 1, Pp 327-336 (2019)
Thermal performance of pulsating heat pipes (PHPs) is dependent to several factors. Inner and outer diameter of tube, filling ratio, thermal conductivity, heat input, inclination angle, and length of each section are the most influential factors in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e04659604d5eba9710a7f203602676a
https://doi.org/10.1080/19942060.2019.1582109
https://doi.org/10.1080/19942060.2019.1582109
Autor:
Michael Sollami, Amir Hossein Raffiee
Publikováno v:
ICPR
The garment transfer problem comprises two tasks: learning to separate a person's body (pose, shape, color) from their clothing (garment type, shape, style) and then generating new images of the wearer dressed in arbitrary garments. We present Garmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef979e08f2e0ae3e618a27f67d2cd3a7
https://doi.org/10.1109/icpr48806.2021.9412908
https://doi.org/10.1109/icpr48806.2021.9412908
Publikováno v:
Physical Review E. 102
Dynamics of a deformable capsule in an oscillatory flow of a Newtonian fluid in a microchannel has been studied numerically. The effects of oscillation frequency, capsule deformability, and channel flow rate have been explored by simulating the capsu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e9c13fa01856b4186922b9e19298147
https://doi.org/10.1103/physreve.102.063110
https://doi.org/10.1103/physreve.102.063110
Autor:
Arezoo M. Ardekani, Mohit S. Verma, Murali Kannan Maruthamuthu, Denilson Mendes de Oliveira, Amir Hossein Raffiee
Publikováno v:
MicrobiologyOpen
MicrobiologyOpen, Vol 9, Iss 11, Pp n/a-n/a (2020)
MicrobiologyOpen, Vol 9, Iss 11, Pp n/a-n/a (2020)
Deep learning has the potential to enhance the output of in‐line, on‐line, and at‐line instrumentation used for process analytical technology in the pharmaceutical industry. Here, we used Raman spectroscopy‐based deep learning strategies to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::599c9aad0b6616f78ca8b54874a64860
https://pubmed.ncbi.nlm.nih.gov/33063423
https://pubmed.ncbi.nlm.nih.gov/33063423
Autor:
Amir Hossein Raffiee, Denilson Mendes de Oliveira, Arezoo M. Ardekani, Mohit S. Verma, Murali Kannan Maruthamuthu
Deep learning has the potential to revolutionize process analytical technology in the pharmaceutical industry. Here, we used Raman spectroscopy-based deep learning strategies to develop a tool for detecting microbial contamination. We built a Raman d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7904804c38574e3a5066c3a412917c9
https://doi.org/10.22541/au.159285368.84034189
https://doi.org/10.22541/au.159285368.84034189
Autor:
Amir Hossein Raffiee, Mostafa Safdari Shadloo, Mohammad Alhuyi Nazari, Ali Komeilibirjandi, Akbar Maleki
Publikováno v:
Journal of Thermal Analysis and Calorimetry
Journal of Thermal Analysis and Calorimetry, Springer Verlag, 2019, ⟨10.1007/s10973-019-08838-w⟩
Journal of Thermal Analysis and Calorimetry, Springer Verlag, 2019, ⟨10.1007/s10973-019-08838-w⟩
Nanofluids are employed in different thermal devices due to their enhanced thermophysical features which lead to noticeable heat transfer augmentation. One of the major reasons of the heat transfer improvement by using the nanofluids is their increas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::383289c2d8a8eb04d8b7bca51681c074
https://hal.archives-ouvertes.fr/hal-02344357
https://hal.archives-ouvertes.fr/hal-02344357
Publikováno v:
Microfluidics and Nanofluidics. 23
In this paper, we study a suspension of cells at a moderate volume fraction flowing in a microchannel filled with Newtonian or viscoelastic fluids and investigate the role of cell size, cell volume fraction, inertia, deformability, and fluid elastici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00becd68262a1470402a38195d19780a
https://doi.org/10.1007/s10404-018-2182-x
https://doi.org/10.1007/s10404-018-2182-x
In this paper, we study the dynamics of deformable cells in a channel flow of Newtonian and polymeric fluids and unravel the effects of deformability, elasticity, inertia, and size on the cell motion. We investigate the role of polymeric fluids on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdcb73b144ba3b511dc6063e63809a50
https://europepmc.org/articles/PMC5745194/
https://europepmc.org/articles/PMC5745194/