Zobrazeno 1 - 5
of 5
pro vyhledávání: '"P S, Karvelis"'
Autor:
Michaila Akathi Pantelaiou, Dimitrios Vagenas, Evangelos S. Karvelis, Georgios Rotas, Stergios Pispas
Publikováno v:
Nanomaterials, Vol 14, Iss 20, p 1631 (2024)
Aggregation-induced emission dyes (AIEs) have gained significant interest due to their unique optical properties. Upon aggregation, AIEs can exhibit remarkable fluorescence enhancement. These systems are ideal candidates for applications in bioimagin
Externí odkaz:
https://doaj.org/article/8b1fb00965d040dea32fd3cb04edc65b
Autor:
Christoforos Kanellakis, Petros S. Karvelis, Sina Sharif Mansouri, Ali-Akbar Agha-Mohammadi, George Nikolakopoulos
Publikováno v:
IEEE Access, Vol 9, Pp 66477-66485 (2021)
This work establishes a robocentric framework around a non-linear Model Predictive Control (NMPC) for autonomous navigation of quadrotors in tunnel-like environments. The proposed framework enables obstacle free navigation capabilities for resource c
Externí odkaz:
https://doaj.org/article/fdba8eccbb2749289e9e88b97d37594f
Autor:
Christoforos Kanellakis, Petros S. Karvelis, Sina Sharif Mansouri, Ali-Akbar Agha-Mohammadi, George Nikolakopoulos
Publikováno v:
IEEE Access, Vol 9, Pp 80208-80208 (2021)
In the above article [1], the funding authorities text required a reformatting. The updated text is as follows:
Externí odkaz:
https://doaj.org/article/4d2a9dd523ab439fafa7fd86f2f48377
Publikováno v:
IEEE Access
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::d25d85ea12c8cb32a1fe1a80759323eb
A method for classification of transient events in EEG recordings: application to epilepsy diagnosis
Publikováno v:
Methods of information in medicine. 45(6)
The aim of the paper is to analyze transient events in inter-ictal EEG recordings, and classify epileptic activity into focal or generalized epilepsy using an automated method.A two-stage approach is proposed. In the first stage the observed transien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::cf88caaca9a9c86aeeacd5a4d9659518
https://pubmed.ncbi.nlm.nih.gov/17149502
https://pubmed.ncbi.nlm.nih.gov/17149502