Zobrazeno 1 - 10
of 43 633
pro vyhledávání: '"A Strand"'
Autor:
Tholerus, E., Garzotti, L., Parail, V., Baranov, Y., Bonnin, X., Corrigan, G., Eriksson, F., Farina, D., Figini, L., Harting, D. M., Kim, S. H., Koechl, F., Loarte, A., Asp, E. Militello, Nordman, H., Pinches, S. D., Polevoi, A. R., Strand, P.
In the initial stages of ITER operation, ELM mitigation systems need to be commissioned. This requires controlled flat-top operation in type-I ELMy H-mode regimes. Hydrogen or helium plasma discharges are used exclusively in these stages to ensure ne
Externí odkaz:
http://arxiv.org/abs/2408.01222
Autor:
Zhou, Xingcheng, Fu, Deyu, Zimmer, Walter, Liu, Mingyu, Lakshminarasimhan, Venkatnarayanan, Strand, Leah, Knoll, Alois C.
Existing roadside perception systems are limited by the absence of publicly available, large-scale, high-quality 3D datasets. Exploring the use of cost-effective, extensive synthetic datasets offers a viable solution to tackle this challenge and enha
Externí odkaz:
http://arxiv.org/abs/2407.20818
Autor:
Nathan, Rakesh John Amala Arokia, Strand, Sigrid, Mehrwald, Daniel, Shutin, Dmitriy, Bimber, Oliver
Swarms of drones offer an increased sensing aperture, and having them mimic behaviors of natural swarms enhances sampling by adapting the aperture to local conditions. We demonstrate that such an approach makes detecting and tracking heavily occluded
Externí odkaz:
http://arxiv.org/abs/2407.10754
Autor:
Garrucho, Lidia, Reidel, Claire-Anne, Kushibar, Kaisar, Joshi, Smriti, Osuala, Richard, Tsirikoglou, Apostolia, Bobowicz, Maciej, del Riego, Javier, Catanese, Alessandro, Gwoździewicz, Katarzyna, Cosaka, Maria-Laura, Abo-Elhoda, Pasant M., Tantawy, Sara W., Sakrana, Shorouq S., Shawky-Abdelfatah, Norhan O., Abdo-Salem, Amr Muhammad, Kozana, Androniki, Divjak, Eugen, Ivanac, Gordana, Nikiforaki, Katerina, Klontzas, Michail E., García-Dosdá, Rosa, Gulsun-Akpinar, Meltem, Lafcı, Oğuz, Mann, Ritse, Martín-Isla, Carlos, Prior, Fred, Marias, Kostas, Starmans, Martijn P. A., Strand, Fredrik, Díaz, Oliver, Igual, Laura, Lekadir, Karim
Current research in breast cancer Magnetic Resonance Imaging (MRI), especially with Artificial Intelligence (AI), faces challenges due to the lack of expert segmentations. To address this, we introduce the MAMA-MIA dataset, comprising 1506 multi-cent
Externí odkaz:
http://arxiv.org/abs/2406.13844
An efficient numerical scheme for solving transport equations for tokamak plasmas within an integrated modelling framework is presented. The plasma transport equations are formulated as diffusion-advection equations in two coordinates (a temporal and
Externí odkaz:
http://arxiv.org/abs/2406.09491
Transition path theory (TPT) offers a powerful formalism for extracting the rate and mechanism of rare dynamical transitions between metastable states. Most applications of TPT either focus on systems with modestly sized state spaces or use collectiv
Externí odkaz:
http://arxiv.org/abs/2406.01452
The rapid evolution of digital sports media necessitates sophisticated information retrieval systems that can efficiently parse extensive multimodal datasets. This paper demonstrates SoccerRAG, an innovative framework designed to harness the power of
Externí odkaz:
http://arxiv.org/abs/2406.01280
The rapid evolution of digital sports media necessitates sophisticated information retrieval systems that can efficiently parse extensive multimodal datasets. This paper introduces SoccerRAG, an innovative framework designed to harness the power of R
Externí odkaz:
http://arxiv.org/abs/2406.01273
Autor:
Kiese, Dominik, Strand, Hugo U. R., Chen, Kun, Wentzell, Nils, Parcollet, Olivier, Kaye, Jason
We present a generalization of the discrete Lehmann representation (DLR) to three-point correlation and vertex functions in imaginary time and Matsubara frequency. The representation takes the form of a linear combination of judiciously chosen expone
Externí odkaz:
http://arxiv.org/abs/2405.06716
With the recent advances in machine learning, creating agents that behave realistically in simulated air combat has become a growing field of interest. This survey explores the application of machine learning techniques for modeling air combat behavi
Externí odkaz:
http://arxiv.org/abs/2404.13954