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Autor:
Abrams, D., Albataineh, H., Aljawrneh, B. S., Alsalmi, S., Androic, D., Aniol, K., Armstrong, W., Arrington, J., Atac, H., Averett, T., Gayoso, C. Ayerbe, Bai, X., Bane, J., Barcus, S., Beck, A., Bellini, V., Bhatt, H., Bhetuwal, D., Biswas, D., Blyth, D., Boeglin, W., Bulumulla, D., Butler, J., Camsonne, A., Carmignotto, M., Castellanos, J., Chen, J. -P., Cloët, I. C., Cohen, E. O., Covrig, S., Craycraft, K., Cruz-Torres, R., Dongwi, B., Duran, B., Dutta, D., Fomin, N., Fuchey, E., Gal, C., Gautam, T. N., Gilad, S., Gnanvo, K., Gogami, T., Gomez, J., Gu, C., Habarakada, A., Hague, T., Hansen, J. -O., Hattawy, M., Hauenstein, F., Higinbotham, D. W., Holt, R. J., Hughes, E. W., Hyde, C., Ibrahim, H., Jian, S., Joosten, S., Karki, A., Karki, B., Katramatou, A. T., Keith, C., Keppel, C., Khachatryan, M., Khachatryan, V., Khanal, A., Kievsky, A., King, D., King, P. M., Korover, I., Kulagin, S. A., Kumar, K. S., Kutz, T., Lashley-Colthirst, N., Li, S., Li, W., Liu, H., Liuti, S., Liyanage, N., Markowitz, P., McClellan, R. E., Meekins, D., Beck, S. Mey-Tal, Meziani, Z. -E., Michaels, R., Mihovilovic, M., Nelyubin, V., Nguyen, D., Nuruzzaman, Nycz, M., Obrecht, R., Olson, M., Owen, V. F., Pace, E., Pandey, B., Pandey, V., Paolone, M., Papadopoulou, A., Park, S., Paul, S., Petratos, G. G., Petti, R., Piasetzky, E., Pomatsalyuk, R., Premathilake, S., Puckett, A. J. R., Punjabi, V., Ransome, R. D., Rashad, M. N. H., Reimer, P. E., Riordan, S., Roche, J., Salmè, G., Santiesteban, N., Sawatzky, B., Scopetta, S., Schmidt, A., Schmookler, B., Segal, J., Segarra, E. P., Shahinyan, A., Širca, S., Sparveris, N., Su, T., Suleiman, R., Szumila-Vance, H., Tadepalli, A. S., Tang, L., Tireman, W., Tortorici, F., Urciuoli, G. M., Wojtsekhowski, B., Wood, S., Ye, Z. H., Ye, Z. Y., Zhang, J.
Measurements of the EMC effect in the tritium and helium-3 mirror nuclei are reported. The data were obtained by the MARATHON Jefferson Lab experiment, which performed deep inelastic electron scattering from deuterium and the three-body nuclei, using
Externí odkaz:
http://arxiv.org/abs/2410.12099
Publikováno v:
werk, bauen + wohnen; 2024, Issue 9, p74-77, 4p
Akademický článek
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Autor:
Baumann, Damaris
Publikováno v:
werk, bauen + wohnen; 2024, Issue 9, p70-72, 3p
Recently, Deep Convolutional Neural Networks (DCNNs) including the ResNet-20 architecture have been privately evaluated on encrypted, low-resolution data with the Residue-Number-System Cheon-Kim-Kim-Song (RNS-CKKS) homomorphic encryption scheme. We e
Externí odkaz:
http://arxiv.org/abs/2306.09189
Autor:
Escorihuela-Sayalero, Carlos, Pardo, Luis Carlos, Romanini, Michela, Obrecht, Nicolas, Loehlé, Sophie, Lloveras, Pol, Tamarit, Josep-Lluís, Cazorla, Claudio
Due to its high energy efficiency and environmental friendliness, solid-state cooling based on the barocaloric (BC) effect represents a promising alternative to traditional refrigeration technologies relying on greenhouse gases. Plastic crystals disp
Externí odkaz:
http://arxiv.org/abs/2306.08835
Akademický článek
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Autor:
Klimecka-Tatar Dorota, Obrecht Matevž
Publikováno v:
Management Systems in Production Engineering, Vol 32, Iss 2, Pp 185-191 (2024)
Value stream mapping is one of the basic tools used in the processes improvement or design – in accordance with the Lean concept. This paper presents a model of designing production processes and introducing new products to the market based on the
Externí odkaz:
https://doaj.org/article/f00c4b5e9b6745838ee39f4735c6fecc
Publikováno v:
Production Engineering Archives, Vol 30, Iss 2, Pp 214-224 (2024)
The Slovenian automobile market has gained great momentum in the past decade. However, the demand contractions in the supply chain created a huge crisis in the automobile industry in Slovenia. The automotive industry's new competitive dynamics focus
Externí odkaz:
https://doaj.org/article/a94a1052aed147f5a13d0730e24b5dc0
Autor:
Adams, Andrew, Obrecht, Richard F., Wilt, Miller, Barcklow, Daniel, Blitz, Bennett, Chew, Daniel
In this paper, we explore the use of multiple deep learning techniques to detect weak interference in WiFi networks. Given the low interference signal levels involved, this scenario tends to be difficult to detect. However, even signal-to-interferenc
Externí odkaz:
http://arxiv.org/abs/2205.11360