Zobrazeno 1 - 10
of 5 682
pro vyhledávání: '"Residual network"'
Publikováno v:
International Journal of Web Information Systems, 2024, Vol. 20, Issue 6, pp. 621-638.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-07-2024-0200
Autor:
Young-Tak Kim, Beom-Su Han, Jung Bin Kim, Jason K. Sa, Je Hyeong Hong, Yunsik Son, Jae-Ho Han, Synho Do, Ji Seon Chae, Jung-Kwon Bae
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-14 (2024)
Abstract Background Accurate measurement of the hip-knee-ankle (HKA) angle is essential for informed clinical decision-making in the management of knee osteoarthritis (OA). Knee OA is commonly associated with varus deformity, where the alignment of t
Externí odkaz:
https://doaj.org/article/5bdad98d35e241aa84e307a044e7c09f
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract With the increasing awareness of fitness, more and more people are choosing to participate in fitness activities. Yoga, as a form of exercise that improves both physical and mental health, is becoming increasingly popular worldwide. In order
Externí odkaz:
https://doaj.org/article/6f554809432a4ea49a60b70ceed339e9
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Purpose Currently, deep learning methods for the classification of benign and malignant lung nodules encounter challenges encompassing intricate and unstable algorithmic models, limited data adaptability, and an abundance of model parameters
Externí odkaz:
https://doaj.org/article/15efa1d855684a17bb036177f1b12131
Publikováno v:
Journal of Engineering Technology and Applied Physics, Vol 6, Iss 2, Pp 66-78 (2024)
In the dynamic field of Customer Retention Prediction (CRP), strategic marketing and promotion efforts targeting specific customers are crucial. Understanding customer behavior and identifying churn indicators are vital for devising effective retenti
Externí odkaz:
https://doaj.org/article/30a752fe906a412c9731223a62d414e0
Publikováno v:
Radioengineering, Vol 33, Iss 3, Pp 463-476 (2024)
Existing sea surface small target detection methods typically rely on intricate feature extraction techniques on transformed radar returns. However, these approaches suffer from issues of high computational complexity and low real-time performance. T
Externí odkaz:
https://doaj.org/article/86aa8bd8114541259851876e9d372c8f
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract Background Conducting traditional wet experiments to guide drug development is an expensive, time-consuming and risky process. Analyzing drug function and repositioning plays a key role in identifying new therapeutic potential of approved dr
Externí odkaz:
https://doaj.org/article/6f22110af321478f8be2cb5e6eae81e8
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTLand use/cover change is a major cause of ecological degradation. Reliable LUCC data are essential for evaluating habitat quality. The current method of surface cover classification based on the convolutional neural networks (CNNs) is usually
Externí odkaz:
https://doaj.org/article/77b589640ef2437a9fc500ec0b75b6da
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionImproving the rationality and accuracy of classroom quality analysis is crucial in modern education. Traditional methods, such as questionnaires and manual recordings, are resource-intensive and subjective, leading to inconsistent results
Externí odkaz:
https://doaj.org/article/4f165606802f4abea8bccf8038487a4c
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 2037-41 (2024)
Due to insufficient information and feature extraction in existing face-detection methods, as well as limited computing power, designing high-precision and efficient face-detection algorithms is an open challenge. Based on this, we propose an improve
Externí odkaz:
https://doaj.org/article/4942836b216e4bdfaa9f7e8f57a57713