Zobrazeno 1 - 10
of 87 166
pro vyhledávání: '"Debi"'
Autor:
Koca, Ali Osman1 akoca@iski.gov.tr, Atmaca, Mustafa2 matmaca@marmara.edu.tr
Publikováno v:
Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2024, Vol. 39 Issue 3, p1745-1758. 14p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Dec2023, Vol. 13 Issue 4, p2565-2582. 18p.
Publikováno v:
Journal of Information Systems and Informatics, Vol 4, Iss 3, Pp 538-555 (2022)
Social media has provided consumers with new opportunities to engage in social interactions on the internet. The very high increase in the number of social media users has provided a new market for companies that can be seen as new business opportuni
Externí odkaz:
https://doaj.org/article/ea93e926275f4b26bc398d8ef99e9c1d
Autor:
Papp, Laszlo, Haberl, David, Ecsedi, Boglarka, Spielvogel, Clemens P., Krajnc, Denis, Grahovac, Marko, Moradi, Sasan, Drexler, Wolfgang
Publikováno v:
In Neural Networks October 2023 167:517-532
Autor:
Julius J Lipner
This is the second in a trilogy of works by the famed Bengali novelist Bankimcandra Chatterji (1838-1894), and the second to be translated by Julius Lipner. The first, Anandamath, or The Sacred Brotherhood was published by OUP in 2005. Bankim Chatter
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
ELFMAN, LOIS
Publikováno v:
New York Amsterdam News. 6/27/2024, Vol. 115 Issue 26, p39-39. 1/2p.
Autor:
Sharma, Ujjawal, Biyani, Madhav, Suresh, Akhil Dev, Bhuyan, Debi Prasad, Mishra, Saroj Kanta, Chakraborty, Tanmoy
Reliable prediction of the All India Summer Monsoon Rainfall (AISMR) is pivotal for informed policymaking for the country, impacting the lives of billions of people. However, accurate simulation of AISMR has been a persistent challenge due to the com
Externí odkaz:
http://arxiv.org/abs/2409.16799
This work proposes a novel low-complexity digital backpropagation (DBP) method, with the goal of optimizing the trade-off between backpropagation accuracy and complexity. The method combines a split step Fourier method (SSFM)-like structure with a si
Externí odkaz:
http://arxiv.org/abs/2409.14489