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SZTAKI colleagues among SLICES-SC Summer School lecturers supported by the European Strategic Forum of Research Infrastructures

The second SLICES-RI Summer School took place in Oulu, Finland this June. SZTAKI colleagues introduced participants to the reference architecture concept on the ELKH Cloud.
Eredmény
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Megjelenés éve
2024

Optical Investigation of 2-amino-7-isocyanofluorene Novel Blue-Emitting Solvatochromic Dye

Szerzők
Bence Kontra; Zoltán Mucsi; László Vanyorek; Miklós Nagy
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Megjelenés éve
2024

Combined effect of warming nutrients and species pool size on the seasonal variability of phytoplankton composition modeling perspective

Szerzők
Károly Pálffy; Evangelia Smeti
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Megjelenés éve
2024

The evolution of collision debris near the ν6 secular resonance and its role in the origin of terrestrial water

Szerzők
Süli, Áron; Forgács-Dajka, Emese
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Opportunities for the domestic use of cutting-edge European IT research infrastructures under the SLICES ESFRI programme

Helyszín

Online

Numerous international state-of-the-art IT research infrastructures have become available - even with mobility support - to the scientific community...
Domestic events
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Applications open until the end of February for SLICES Open Call

A new deadline has been announced for the SLICES-SC project’s 2. Open Call. Applications will be accepted from now until 29 February 2024, and the results will be published at the end of March.
Felhívás
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Megjelenés éve
2023

Microwave-Assisted Palladium Acetate-Catalyzed C–P Cross-Coupling of Arylboronic Acids and >P(O)H Reagents in the Absence of the Usual Mono- and Bidentate P-Ligands: Mechanistic Insights

Szerzők
Huszár, Bianka; Mucsi, Zoltán; Keglevich, György
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Megjelenés éve
2023

Identifying Relevant Features of CSE-CIC-IDS2018 Dataset for the Development of an Intrusion Detection System

Szerzők
Göcs, László ; Csaba Johanyák, Zsolt
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SZTAKI expert in the silver medalist team at the international Gaia-X Hackathon

The competing teams at the event had to work on real-life end-to-end scenarios which leverage the Gaia-X Open-Source Software and the Trust Framework.
Eredmény
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Distributed Deep Learning with Horovod for international research communities

EGI invited SZTAKI’s developer Krisztián Póra to talk about the Horovod distributed deep learning framework and the reference architecture and service(s) SZTAKI based on this solution.
Szakmai rendezvény
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