AFM studies of DNA structures extracted from adriamycin treated and non-treated Erlich tumor cells

Autor: Avramov-Ivić M., Petrović Slobodan D., Kalman E., Milosavljević T., Reljin I., Reljin B., Bogdanović G., Baltić Vit.V., Keresztes Z.

Publikováno v: Journal of the Serbian Chemical Society, Vol 70, Iss 6, Pp 823-831 (2005)

Atomic force microscopy (AFM), a unique tool to investigate drug treatment of cancer cells, was used to analyze the anti-neoplastic activity of adriamycin by comparing DNA structures of non-treated and adriamycin-treated Ehrlich tumor cells. The non-

Externí odkaz: https://doaj.org/article/27a640ba01b94391b354488f5b98e556

Quantitative Imaging Analysis Fluorescence In Situ Hybridization Validation for Clinical HER2 Testing in Breast Cancer.

Autor: Wilcock, Diane M.¹, Moore, Kristina H.¹, Rowe, Leslie¹, Mahlow, Jonathan^1,2, Jedrzkiewicz, Jolanta^1,2, Cleary, Allison S.^1,2, Lomo, Lesley^1,2, Ruano, Ana L.^1,2, Gering, Maarika¹, Bradshaw, Derek¹, Maughan, Meghan¹, Phuong Tran¹, Burlingame, Jesse¹, Davis, Richard¹, Affolter, Kajsa^1,2, Albertson, Daniel J.^1,2, Adelhardt, Parisa^1,2, Jong Take Kim^1,2, Coleman, Joshua F.^1,2, Deftereos, Georgios^1,2

Publikováno v: Archives of Pathology & Laboratory Medicine. Dec2024, Vol. 148 Issue 12, p1402-1412. 11p.

Implementation of a feed-forward artificial neural network in VHDL on FPGA

Autor: Dondon, P., Carvalho, J., Gardere, R., Lahalle, P., Tsenov, G., Mladenov, V.M., Reljin, B., Stankovic, S.

Publikováno v: Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering NEUREL 2014, Belgrade, Serbia, 25-26 November 2014, 37-40
STARTPAGE=37;ENDPAGE=40;TITLE=Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering NEUREL 2014, Belgrade, Serbia, 25-26 November 2014

Describing an Artificial Neural Network (ANN) using VHDL allows a further implementation of such a system on FPGA. Indeed, the principal point of using FPGA for ANNs is flexibility that gives it an advantage toward other systems like ASICS which are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32ca71abe4a561e4d48cb1cad4055871
https://doi.org/10.1109/NEUREL.2014.7011454

The COST292 experimental framework for TRECVID 2007

Autor: Zhang, Q., Chandramouli, K., Damnjanovic, U., Piatrik, T., Izquierdo, E., Corvaglia, M., Adami, N., Leonardi, R., Yakin, G., Aksoy, S., Naci, U., Hanjalic, A., Vrochidis, S., Moumtzidou, A., Nikolopoulos, S., Mezaris, V., Makris, L., Kompatsiaris, I., Mansencal, Boris, Benois-Pineau, Jenny, Esen, E., Alatan, A., Spyrou, E., Kapsalas, P., Tolias, G., Mylonas, P., Avrithis, Y., Reljin, B., Zajic, G., Pinheiro, A. M. G., Almeida, P., Alexandre, L. A., Jarina, R., Aginako, N., Goya, J.

Publikováno v: The COST292 experimental framework for TRECVID 2007
TREC Video Retrieval Evaluation Online Proceedings (TRECVID)
TREC Video Retrieval Evaluation Online Proceedings (TRECVID), 2007, United States

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::862e9a912cec4695b20d7c57265dbc69
https://hal.archives-ouvertes.fr/hal-00307919

Finding steady-state temperature field of an electrical coil by using cellular neural network.

Autor: Krstic, I., Reljin, B.

Publikováno v: Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2000 (IEEE Cat. No.00EX287); 2000, p158-163, 6p