Zobrazeno 1 - 10
of 2 840
pro vyhledávání: '"SDRL"'
Deep reinforcement learning (DRL) has gained great success by learning directly from high-dimensional sensory inputs, yet is notorious for the lack of interpretability. Interpretability of the subtasks is critical in hierarchical decision-making as i
Externí odkaz:
http://arxiv.org/abs/1811.00090
Autor:
Kharlamov, Evgeny, Mehdi, Gulnar, Savković, Ognjen, Xiao, Guohui, Kalaycı, Elem Güzel, Roshchin, Mikhail
Publikováno v:
In Journal of Web Semantics May 2019 56:11-29
Autor:
Elvira Garifullina, Galiya Manuyko, Guzel Aminova, Veronika Bronskaya, Denis Balzamov, Tatiana Ignashina, Olga Kharitonova
Publikováno v:
Materials Science Forum. 1049:211-217
Modelling and identification of the synthesis of SDRL rubber in the presence of toluene and modifier was carried out. The mechanism of the polymerization of butadiene on the lithium catalytic system. One of the most characteristic differences between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e993274d501ce6d37a430d310ae1290f
https://doi.org/10.4028/www.scientific.net/msf.1049.211
https://doi.org/10.4028/www.scientific.net/msf.1049.211
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In this study, we suggested an innovative approach by introducing an Adaptive Exponential Weighted Moving Average (AEWMA) control chart utilizing Variable Sample Size (VSS) under Bayesian methodology. The proposed methodology utilized an int
Externí odkaz:
https://doaj.org/article/01702ad0e5054dbfa302816c24516652
Autor:
Fatimah A. Almulhim, Seher Malik, Muhammad Hanif, Abaker A. Hassaballa, Muhammad Nabi, Muhammad Usman Aslam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The control charts are frequently employed in process monitoring to assess the average and variability of a process, assuming a normal distribution. However, it is worth noting that some process distributions tend to exhibit a positively ske
Externí odkaz:
https://doaj.org/article/50719a02c9594c24b0bd6a94d807672c
Publikováno v:
2022 8th International Conference on Big Data and Information Analytics (BigDIA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00bc3d6f2baf91657cd652109416fb08
https://doi.org/10.1109/bigdia56350.2022.9874163
https://doi.org/10.1109/bigdia56350.2022.9874163
Autor:
Garifullina, Elvira, Manuyko, Galiya, Aminova, Guzel, Bronskaya, Veronika, Balzamov, Denis, Ignashina, Tatiana, Kharitonova, Olga
Publikováno v:
Materials Science Forum; January 2022, Vol. 1049 Issue: 1 p211-217, 7p
Conference
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Autor:
Gulnar Mehdi, Ognjen Savkovic, Evgeny Kharlamov, Mikhail Roshchin, Guohui Xiao, Elem Güzel Kalayci
Publikováno v:
Journal of Web Semantics. 56:11-29
An Industrial Internet of Things (IoT) is a network of intelligent industrial equipment such as trains and power generating turbines that collect and share large amounts of data. These data are either generated by various sensors deployed in the equi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4bf6bdab5c8369e0d5eb223b7fcacf8
https://doi.org/10.1016/j.websem.2018.10.004
https://doi.org/10.1016/j.websem.2018.10.004
Autor:
Vance, Burt
Publikováno v:
A Dictionary of Abbreviations, 1 ed., 2011.
Externí odkaz:
http://www.oxfordreference.com/view/10.1093/acref/9780199698295.001.0001/acref-9780199698295-e-90877