Zobrazeno 1 - 10
of 292 399
pro vyhledávání: '"REUSABILITY"'
Autor:
Magableh, Aws A.1,2 (AUTHOR) aws.magableh@yu.edu.jo, Ata, Hana'a Bani1 (AUTHOR), Saifan, Ahmad A.1 (AUTHOR), Rawashdeh, Adnan1 (AUTHOR)
Publikováno v:
Scientific Reports. 6/8/2024, Vol. 14 Issue 1, p1-20. 20p.
Autor:
Berenguer, Alberto1 (AUTHOR) aberenguer@dlsi.ua.es, Morejón, Adriana1 (AUTHOR), Tomás, David1 (AUTHOR), Mazón, Jose-Norberto1 (AUTHOR) jnmazon@ua.es
Publikováno v:
Sensors (14248220). Jan2024, Vol. 24 Issue 2, p347. 20p.
Sharing and reusing research data can effectively reduce redundant efforts in data collection and curation, especially for small labs and research teams conducting human-centered system research, and enhance the replicability of evaluation experiment
Externí odkaz:
http://arxiv.org/abs/2411.15430
Powder bed fusion (PBF) is an emerging metal additive manufacturing (AM) technology that enables rapid fabrication of complex geometries. However, defects such as pores and balling may occur and lead to structural unconformities, thus compromising th
Externí odkaz:
http://arxiv.org/abs/2409.12785
Autor:
Overbeek, Jamie C., Partin, Alexander, Brettin, Thomas S., Chia, Nicholas, Narykov, Oleksandr, Vasanthakumari, Priyanka, Wilke, Andreas, Zhu, Yitan, Clyde, Austin, Jones, Sara, Gnanaolivu, Rohan, Liu, Yuanhang, Jiang, Jun, Wang, Chen, Knutson, Carter, McNaughton, Andrew, Kumar, Neeraj, Fernando, Gayara Demini, Ghosh, Souparno, Sanchez-Villalobos, Cesar, Zhang, Ruibo, Pal, Ranadip, Weil, M. Ryan, Stevens, Rick L.
Cancer drug response prediction (DRP) models present a promising approach towards precision oncology, tailoring treatments to individual patient profiles. While deep learning (DL) methods have shown great potential in this area, models that can be su
Externí odkaz:
http://arxiv.org/abs/2409.12215
We show the design of the software of the microcontroller unit of a weeding robot based on the Process Control architectural style and design patterns. The design consists of 133 modules resulting from using 8 design patterns for a total of 30 proble
Externí odkaz:
http://arxiv.org/abs/2409.07228
Autor:
Yang, Lei1 (AUTHOR) yanglei@lnpu.edu.cn, Sun, Luqiao1 (AUTHOR) sunluqiao@stu.lnpu.edu.cn, Sun, Yuanyuan2 (AUTHOR) 2022240009@stu.syau.edu.cn, Qiu, Guangwei1 (AUTHOR) qiuguangwei@stu.lnpu.edu.cn, Fan, Xiaoguang2 (AUTHOR) xiaoguangfan1982@syau.edu.cn, Sun, Qing2 (AUTHOR) xiaoguangfan1982@syau.edu.cn, Lu, Guang3 (AUTHOR) luguang@lnpu.edu.cn
Publikováno v:
Molecules. Sep2024, Vol. 29 Issue 18, p4481. 19p.
In this paper, we propose a predictive quantifier to estimate the retraining cost of a trained model in distribution shifts. The proposed Aggregated Representation Measure (ARM) quantifies the change in the model's representation from the old to new
Externí odkaz:
http://arxiv.org/abs/2405.09600
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