Zobrazeno 1 - 10
of 70
pro vyhledávání: '"time-delay neural network (TDNN)"'
Autor:
Biswajit Bhagowati, Kamal Uddin Ahamad
Publikováno v:
Water Quality Research Journal, Vol 59, Iss 1, Pp 1-25 (2024)
Data-driven models for the prediction of lake eutrophication essentially rely on water quality datasets for a longer duration. If such data are not readily available, lake management through data-driven modeling becomes impractical. So, a novel appro
Externí odkaz:
https://doaj.org/article/4e35bbf7db94420db7f39c7f64a21d74
Autor:
Sina Piramoon, Mohammad Ayoubi
Publikováno v:
IEEE Access, Vol 12, Pp 107552-107569 (2024)
This paper presents a novel approach for modeling and mitigating vibrations in rotary machines during transient operations, such as start-up and shutdown. We propose using two time-series artificial neural networks (ANNs)—Long Short-Term Memory (LS
Externí odkaz:
https://doaj.org/article/0795df38c3cb46b688e46bc0d04447d6
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
This study explores the vulnerability of robot dialogue systems' automatic speech recognition (ASR) module to adversarial music attacks. Specifically, we explore music as a natural camouflage for such attacks. We propose a novel method to hide ghost
Externí odkaz:
https://doaj.org/article/e3c4a1535d8946e7bda03e365cd86ed6
Publikováno v:
Journal of ICT Research and Applications, Vol 17, Iss 3 (2023)
Automatic speaker identification is done to tackle daily security problems. Speech data collection is an essential but very challenging task for under-resourced languages like Burmese. The speech quality is crucial to accurately recognize the speaker
Externí odkaz:
https://doaj.org/article/9561764cec6e43779a1d8ed87ea2a026
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 9, Pp 3323-3337 (2022)
Flood flow forecasting is essential for mitigating damage in flood-prone areas all over the world. Advanced actions and methodology to optimize peak flow criteria can be adopted based on forecasted discharge information. This paper applied the models
Externí odkaz:
https://doaj.org/article/f726493f03ca4bc8b257333565bebbaf
Autor:
Sherif A. Zaid, Ihab S. Mohamed, Abualkasim Bakeer, Lantao Liu, Hani Albalawi, Mohamed E. Tawfiq, Ahmed M. Kassem
Publikováno v:
IEEE Access, Vol 10, Pp 57309-57326 (2022)
This paper proposes an end-to-end ( $E2E$ ) learning-based control policy to directly control a transformerless grid-tied three-level neutral-point-clamped (3L-NPC) inverter powered by a photovoltaic (PV) array. This $E2E$ control policy is represent
Externí odkaz:
https://doaj.org/article/7b8fdddb4ac04db7aa8b3d08b72b074e
Publikováno v:
Jisuanji kexue yu tansuo, Vol 15, Iss 7, Pp 1255-1264 (2021)
Under the short utterance environment, the total variability space underestimates the distribution of speech probabilities, which leads to a decline in speaker verification performance. Aiming at the above problems, a method of enhancing speaker iden
Externí odkaz:
https://doaj.org/article/e8bc5def595a4882a858614f68c4b870
Publikováno v:
Land, Vol 12, Iss 1, p 214 (2023)
Rural–urban immigration, regional wars, refugees, and natural disasters all bring to prominence the importance of studying urban growth. Increased urban growth rates are becoming a global phenomenon creating stress on agricultural land, spreading p
Externí odkaz:
https://doaj.org/article/909cf081ffeb4acc983c4b04c94ddced
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.