Zobrazeno 1 - 10
of 194 091
pro vyhledávání: '"Convolutional Neural Network"'
Autor:
Jartarghar, Harish A., Kruthi, M.N., Karuntharaka, B., Nasreen, Azra, Shankar, T., Kumar, Ramakanth, Sreelakshmi, K.
Publikováno v:
International Journal of Intelligent Unmanned Systems, 2024, Vol. 12, Issue 4, pp. 418-432.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJIUS-09-2022-0125
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 6, pp. 770-782.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-03-2023-0035
Autor:
Atashgar, Karim, Boush, Mahnaz
Publikováno v:
International Journal of Quality & Reliability Management, 2023, Vol. 41, Issue 9, pp. 2232-2248.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJQRM-03-2023-0111
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 783-804.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-04-2024-0189
Publikováno v:
International Journal of Pervasive Computing and Communications, 2021, Vol. 20, Issue 4, pp. 383-397.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-08-2021-0200
Autor:
Li, Youwei, Qu, Jian
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 5, pp. 693-717.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2022-0307
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Ensuring the long-term safe usage of lithium-ion batteries hinges on accurately estimating the State of Health $$(\textrm{SOH})$$ and predicting the Remaining Useful Life (RUL). This study proposes a novel prediction method based on a AT-CNN
Externí odkaz:
https://doaj.org/article/091d593165aa487d9333601a5469844c
Autor:
Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Cervical cancer is one of the biggest challenges in global health, thus it forms a critical need for early detection technologies that could improve patient prognosis and inform treatment decisions. This development in the form of an early d
Externí odkaz:
https://doaj.org/article/c18e4551514c43418a36d1d8151e6c27
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-31 (2024)
Abstract Facial Emotion Recognition (FER) is a very challenging task due to the varying nature of facial expressions, occlusions, illumination, pose variations, cultural and gender differences, and many other aspects that cause a drastic degradation
Externí odkaz:
https://doaj.org/article/807da3810fbd42a980ea549071fe32f0