Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Learning feature"'
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow, 2024, Vol. 34, Issue 10, pp. 3979-4006.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/HFF-04-2024-0282
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024)
Wireless Sensor Networks (WSNs) have been securing a big position in the new aspect of security network attacks, where these suffer from various serious cyber threats that can play with their data integrity and reliability. Due to the key importance
Externí odkaz:
https://doaj.org/article/f08af5fb33c748be9d8abc1ef102cdc9
Publikováno v:
International Journal of Reproductive BioMedicine, Vol 21, Iss 12, Pp 995-1012 (2024)
Abstract Background: Previous research has identified key factors affecting in vitro fertilization or intracytoplasmic sperm injection success, yet the lack of a standardized approach for various treatments remains a challenge. Objective: The objecti
Externí odkaz:
https://doaj.org/article/4cba8b3af4d944a58421a4f1dd290005
Autor:
Mrinalini Bhagawati, Sudip Paul, Laura Mantella, Amer M. Johri, Siddharth Gupta, John R. Laird, Inder M. Singh, Narendra N. Khanna, Mustafa Al-Maini, Esma R. Isenovic, Ekta Tiwari, Rajesh Singh, Andrew Nicolaides, Luca Saba, Vinod Anand, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 14, Iss 17, p 1894 (2024)
Background: The risk of cardiovascular disease (CVD) has traditionally been predicted via the assessment of carotid plaques. In the proposed study, AtheroEdge™ 3.0HDL (AtheroPoint™, Roseville, CA, USA) was designed to demonstrate how well the fea
Externí odkaz:
https://doaj.org/article/ecc1fc4723a04c1ca97e395668c79b38
Autor:
Anton Novianto, Mila Desi Anasanti
Publikováno v:
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), Vol 17, Iss 3, Pp 259-270 (2023)
Autism Spectrum Disorder (ASD) is a developmental disorder that impairs the development of behaviors, communication, and learning abilities. Early detection of ASD helps patients to get beter training to communicate and interact with others. In this
Externí odkaz:
https://doaj.org/article/0a5a09d51b5643ffb2e160054040b5e0
Akademický článek
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Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 2, Iss 2 (2023)
Facial expression recognition (FER) systems accurately identify facial expressions by extracting facial features. The extraction of robust facial features comes after automatic face detection in this procedure. On the FAR2013 dataset, a five-step sys
Externí odkaz:
https://doaj.org/article/7117c563784d4ab6bb3005eacdb232b4
Autor:
Keller, Jonas
With the combination of Reinforcement Learning (RL) and Artificial Neural Networks (ANNs), Deep Reinforcement Learning (DRL) agents are shifted towards being non-interpretable black-box models. Developers of DRL agents, however, could benefit from en
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A93844
https://tud.qucosa.de/api/qucosa%3A93844/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A93844/attachment/ATT-0/
Akademický článek
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Publikováno v:
Journal of Imaging, Vol 9, Iss 8, p 154 (2023)
An open-set recognition scheme for tree leaves based on deep learning feature extraction is presented in this study. Deep learning algorithms are used to extract leaf features for different wood species, and the leaf set of a wood species is divided
Externí odkaz:
https://doaj.org/article/8bfe9febfb184eab96116d7fe8671644