Zobrazeno 1 - 10
of 10 502
pro vyhledávání: '"A. Prokopenko"'
Autor:
A. J. Smith, E. Ito, N. Burls, L. Clarke, T. Donders, R. Hatfield, S. Kuehn, A. Koutsodendris, T. Lowenstein, D. McGee, P. Molnar, A. Prokopenko, K. Snell, B. Valero Garcés, J. Werne, C. Zeeden
Publikováno v:
Scientific Drilling, Vol 32, Pp 61-72 (2023)
The Pliocene Epoch is a focus of scientific interest as a period of sustained global warmth, with reconstructed CO2 concentrations and a continent configuration similar to modern. Numerous studies suggest that the Pliocene was warmer and largely wett
Externí odkaz:
https://doaj.org/article/2efa74aa6e644ef087928e227d620d0f
Publikováno v:
Вісник Харківського національного університету імені В.Н. Каразіна: Серія Економіка, Iss 101, Pp 26-34 (2021)
Modern enterprise resource management systems are quite universal, but in practice each firm has its own characteristics, which are determined by the type of activity, scale of production, management structure and other factors. These features must b
Externí odkaz:
https://doaj.org/article/c1255c825e9649d680afd8c2185d7f18
Autor:
Chen, Qianyang, Prokopenko, Mikhail
Collective behaviours are frequently observed to self-organise to criticality. Existing proposals to explain these phenomena, such as Self-organised Criticality (SOC), are fragmented across disciplines and only partially answer the question. This pap
Externí odkaz:
http://arxiv.org/abs/2409.15668
Autor:
Prokopenko, Mikhail, Davies, Paul C. W., Harré, Michael, Heisler, Marcus, Kuncic, Zdenka, Lewis, Geraint F., Livson, Ori, Lizier, Joseph T., Rosas, Fernando E.
We study open-ended evolution by focusing on computational and information-processing dynamics underlying major evolutionary transitions. In doing so, we consider biological organisms as hierarchical dynamical systems that generate regularities in th
Externí odkaz:
http://arxiv.org/abs/2409.12029
Autor:
Prokopenko, Andrey, Arndt, Daniel, Lebrun-Grandié, Damien, Turcksin, Bruno, Frontiere, Nicholas, Emberson, J. D., Buehlmann, Michael
ArborX is a performance portable geometric search library developed as part of the Exascale Computing Project (ECP). In this paper, we explore a collaboration between ArborX and a cosmological simulation code HACC. Large cosmological simulations on e
Externí odkaz:
http://arxiv.org/abs/2409.10743
Autor:
Chang, Sheryl L., Nguyen, Quang Dang, Suster, Carl J. E., Jamerlan, Christina M., Rockett, Rebecca J., Sintchenko, Vitali, Sorrell, Tania C., Martiniuk, Alexandra, Prokopenko, Mikhail
Recurrent waves which are often observed during long pandemics typically form as a result of several interrelated dynamics including public health interventions, population mobility and behaviour, varying disease transmissibility due to pathogen muta
Externí odkaz:
http://arxiv.org/abs/2408.00011
This paper introduces a new data-driven, non-parametric method for image quality and aesthetics assessment, surpassing existing approaches and requiring no prompt engineering or fine-tuning. We eliminate the need for expressive textual embeddings by
Externí odkaz:
http://arxiv.org/abs/2403.06866
Stackless traversal is a technique to speed up range queries by avoiding usage of a stack during the tree traversal. One way to achieve that is to transform a given binary tree to store a left child and a skip-connection (also called an escape index)
Externí odkaz:
http://arxiv.org/abs/2402.00665
This paper presents \pandora, a novel parallel algorithm for efficiently constructing dendrograms for single-linkage hierarchical clustering, including \hdbscan. Traditional dendrogram construction methods from a minimum spanning tree (MST), such as
Externí odkaz:
http://arxiv.org/abs/2401.06089
Autor:
Prokopenko, Denis, Hammernik, Kerstin, Roberts, Thomas, Lloyd, David F A, Rueckert, Daniel, Hajnal, Joseph V
Dynamic free-breathing fetal cardiac MRI is one of the most challenging modalities, which requires high temporal and spatial resolution to depict rapid changes in a small fetal heart. The ability of deep learning methods to recover undersampled data
Externí odkaz:
http://arxiv.org/abs/2308.07885