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Akademický článek

University Leadership Based in the Humanities: An Interview with Prof. Hanne Leth Andersen

Autor: Hanne Leth Andersen

Publikováno v: Journal of Higher Education Policy and Leadership Studies, Vol 3, Iss 1, Pp 170-175 (2022)

Interview with Prof. Hanne Leth Andersen Rector at Roskilde University, DENMARK

Externí odkaz: https://doaj.org/article/6bd838db204e4aebabd9626b1f45bb2f

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Akademický článek

Jørgen Leth

Autor: Lundtofte, Anne Mette, Leth, Jørgen

Publikováno v: BOMB, 2004 Jul 01(88), 68-73.

Externí odkaz: https://www.jstor.org/stable/40427647

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Optimizing Photovoltaic Panel Quantity for Water Distribution Networks

Autor: Ürkmez, Mirhan, Kallesøe, Carsten, Bendtsen, Jan Dimon, Leth, John

The paper introduces a procedure for determining an approximation of the optimal amount of photovoltaics (PVs) for powering water distribution networks (WDNs) through grid-connected PVs. The procedure aims to find the PV amount minimizing the total e

Externí odkaz: http://arxiv.org/abs/2412.15402

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Akademický článek

Co to jest dokument i czy pytanie to ma jakiekolwiek znaczenie? (Na marginesie Pięciu nieczystych zagrań Larsa von Triera i Jørgena Letha) / What is a document and does this question have any significance? (In the context of The Five Obstructions by Lars von Trier and Jørgen Leth)

Autor: Koschany, Rafał

Publikováno v: Images. The International Journal of European Film, Performing Arts and Audiovisual Communication. 21(30):5-16

Externí odkaz: https://www.ceeol.com/search/article-detail?id=732083

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Managing cascading disruptions through optimal liability assignment

Autor: Gudmundsson, Jens, Hougaard, Jens Leth, Sethuraman, Jay

Interconnected agents such as firms in a supply chain make simultaneous preparatory investments to increase chances of honouring their respective bilateral agreements. Failures cascade: if one fails their agreement, then so do all who follow in the c

Externí odkaz: http://arxiv.org/abs/2408.07361

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Coarse-To-Fine Tensor Trains for Compact Visual Representations

Autor: Loeschcke, Sebastian, Wang, Dan, Leth-Espensen, Christian, Belongie, Serge, Kastoryano, Michael J., Benaim, Sagie

The ability to learn compact, high-quality, and easy-to-optimize representations for visual data is paramount to many applications such as novel view synthesis and 3D reconstruction. Recent work has shown substantial success in using tensor networks

Externí odkaz: http://arxiv.org/abs/2406.04332

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