Zobrazeno 1 - 10
of 268
pro vyhledávání: '"Vanishing gradient problem"'
Autor:
Hojjat Moayed, Eghbal G. Mansoori
Publikováno v:
IEEE Access, Vol 10, Pp 62391-62401 (2022)
Regularization methods can surprisingly improve the generalization ability of deep neural networks. Among numerous methods, the branch of Dropout regularization is very popular in practice. However, Dropout-like regularization variants have some defi
Externí odkaz:
https://doaj.org/article/aaf2e307a3b64ed685a8000cd28fb733
Akademický článek
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Publikováno v:
IEEE Access, Vol 8, Pp 171542-171550 (2020)
Malware detection is an essential task in cyber security. As the trend of malicious attacks grows, unknown malware detection with high accuracy becomes more and more challenging. The current deep learning-based approaches for malware detection are ty
Externí odkaz:
https://doaj.org/article/300cbdc9b2ec400d86b3f259ef704b08
Publikováno v:
Emitter: International Journal of Engineering Technology, Vol 9, Iss 2 (2021)
Human Activity Recognition (HAR), a vast area of a computer vision research, has gained standings in recent years due to its applications in various fields. As human activity has diversification in action, interaction, and it embraces a large amount
Externí odkaz:
https://doaj.org/article/54f260ae97624b8c91f68761055bac9f
Publikováno v:
IEEE Transactions on Cybernetics. 53:329-337
Model-free control approaches require advanced exploration-exploitation policies to achieve practical tasks such as learning to bipedal robot walk in unstructured environments. In this article, we first construct a comprehensive exploration-exploitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd31bd3cabc534d195f2f444233347b1
https://doi.org/10.1109/tcyb.2021.3091680
https://doi.org/10.1109/tcyb.2021.3091680
Autor:
Anik Sen, Kaushik Deb
Publikováno v:
ICT Express. 8:65-71
Extraction of knowledge from soccer videos has enormous applications like context-based advertisement, content-based video retrieval, match summarization, and highlight extraction. Overlapping soccer actions and uncontrolled video capturing condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1688052ab705e8f24c60c2b723d13534
https://doi.org/10.1016/j.icte.2021.03.004
https://doi.org/10.1016/j.icte.2021.03.004
Autor:
Nour Moustafa, Dechang Pi, Bakht Sher Ali, Yue Pan, Muhammad Tanveer, Imran Razzak, Izhar Ahmed Khan
Publikováno v:
Future Generation Computer Systems. 127:181-193
The Internet of Medical Things (IoMT) is increasingly replacing the traditional healthcare systems. However, less focus has been paid to their security against cyber-threats in the implementation of the IoMT and its networks. One of the key reasons c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7dba8f0792d93d0056ff9b3f64d3f70
https://doi.org/10.1016/j.future.2021.09.010
https://doi.org/10.1016/j.future.2021.09.010
Autor:
King Hann Lim, Hong Hui Tan
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:330-339
Optimization in a deep neural network is always challenging due to the vanishing gradient problem and intensive fine-tuning of network hyperparameters. Inspired by multistage decision control systems, the stochastic diagonal approximate greatest desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c076573d130b78da296744c9708eb6f6
https://doi.org/10.1109/tnnls.2020.3027750
https://doi.org/10.1109/tnnls.2020.3027750
Akademický článek
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Autor:
Eugeny Yu. Shchetinin
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 29, Iss 1, Pp 22-35 (2021)
Time Series Forecasting has always been a very important area of research in many domains because many different types of data are stored as time series. Given the growing availability of data and computing power in the recent years, Deep Learning ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2f77dac0ed90b564ffa1a20fc789fe2
http://journals.rudn.ru/miph/article/viewFile/26138/19258
http://journals.rudn.ru/miph/article/viewFile/26138/19258