Azerbaijani-Iranian Relations After the Second Karabakh War: Features and Trends

Autor: Mirmehdi M. Aghazada

Publikováno v: Vestnik RUDN. International Relations, Vol 23, Iss 4, Pp 719-733 (2023)

The study presents an analysis of bilateral relations between the Republic of Azerbaijan (RA) and the Islamic Republic of Iran (IRI) after the Second Karabakh War (SKW), identifying the sources of tension and new trends in their relations. On the one

Externí odkaz: https://doaj.org/article/7bdc5f80018246e2bb95d435e42f4911

ELECTRONIC, OPTICAL AND TRANSPORT PROPERTIES OF HFNISN UNDER MN IMPURITY.

Autor: MIRMEHDI, M.¹, BOOCHANI, A.² arash_bch@yahoo.com, MASHARIAN, S. R.¹

Publikováno v: Archives of Metallurgy & Materials. 2023, Vol. 68 Issue 3, p851-860. 10p.

QUAC: Quick unsupervised anisotropic clustering

Autor: Hanwell, D., Mirmehdi, M.

Publikováno v: In Pattern Recognition January 2014 47(1):427-440

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CaloriNet: From silhouettes to calorie estimation in private environments

Autor: Masullo, A., Burghardt, T., Damen, D., Hannuna, S., Víctor Ponce-López, Mirmehdi, M.

Publikováno v: Scopus-Elsevier
Masullo, A, Burghardt, T, Damen, D, Hannuna, S, Ponce Lopez, V & Mirmehdi, M 2018, ' CaloriNet : From silhouettes to calorie estimation in private environments ', Paper presented at 29th British Machine Vision Conference, Newcastle upon Tyne, United Kingdom, 3/09/18-6/09/18 . < http://bmvc2018.org/programmedetail.html >

We propose a novel deep fusion architecture, CaloriNet, for the online estimation of energy expenditure for free living monitoring in private environments, where RGB data is discarded and replaced by silhouettes. Our fused convolutional neural networ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e029ec8d482896b970d9d8819ccac511