Výsledky vyhledávání - "SOTIRIOS GEORGIOPOULOS"

Akademický článek

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR END MILLING

Autor: ANGELOS P. MARKOPOULOS, SOTIRIOS GEORGIOPOULOS, MYRON KINIGALAKIS, DIMITRIOS E. MANOLAKOS

Publikováno v: Journal of Engineering Science and Technology, Vol 11, Iss 9, Pp 1234-1248 (2016)

Soft computing is commonly used as a modelling method in various technological areas. Methods such as Artificial Neural Networks and Fuzzy Logic have found application in manufacturing technology as well. NeuroFuzzy systems, aimed to combine the bene

Externí odkaz: https://doaj.org/article/4fb14d16e87e4e2094445c064a2a5787

Zobrazit plný text záznamu

Real-Life Effectiveness and Safety of Baricitinib as Adjunctive to Standard-of-Care Treatment in Hospitalized Patients With Severe Coronavirus Disease 2019

Autor: Tziolos, Nikolaos Karofylakis, Emmanouil Grigoropoulos, Ioannis and Kazakou, Pinelopi Koullias, Emmanouil Savva, Athina and Kranidioti, Hariklia Pelekanou, Aimilia Boulouta, Anna and Pirounaki, Maria Tsiodras, Sotirios Georgiopoulos, Georgios and Boumpas, Dimitrios T. Kavatha, Dimitra Thomas, Konstantinos and Vassilopoulos, Dimitrios Antoniadou, Anastasia

Background. Therapeutic options for hospitalized patients with severe coronavirus disease 2019 (sCOVID-19) are limited. Preliminary data have shown promising results with baricitinib, but real-life experience is lacking. We assessed the safety and ef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2127::f5acb07aef08142a41718b75a58c4670
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3033845

Zobrazit plný text záznamu

On the use of back propagation and radial basis function neural networks in surface roughness prediction

Autor: Sotirios Georgiopoulos, Angelos P. Markopoulos, Dimitrios E. Manolakos

Publikováno v: Journal of Industrial Engineering International. 12:389-400

Various artificial neural networks types are examined and compared for the prediction of surface roughness in manufacturing technology. The aim of the study is to evaluate different kinds of neural networks and observe their performance and applicabi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c099310087c5baa6e3e308f145c89415
https://doi.org/10.1007/s40092-016-0146-x

Zobrazit plný text záznamu

Akademický článek

On the use of back propagation and radial basis function neural networks in surface roughness prediction.

Autor: Markopoulos, Angelos, Georgiopoulos, Sotirios, Manolakos, Dimitrios

Publikováno v: Journal of Industrial Engineering International; Sep2016, Vol. 12 Issue 3, p389-400, 12p

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání