Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jin, P."'
Publikováno v:
IEEE Access, Vol 12, Pp 15093-15104 (2024)
Parameter-Efficient Fine-Tuning is widely used to transfer models between different domains. However, for some high-reliability-equipment, the degradation is at a slow rate and continually fluctuates, making it difficult to extract features effective
Externí odkaz:
https://doaj.org/article/923e02c551fc41d7a2473eae6550ee3d
Autor:
Haider Ali, Dian Chen, Matthew Harrington, Nathaniel Salazar, Mohannad Al Ameedi, Ahmad Faraz Khan, Ali R. Butt, Jin-Hee Cho
Publikováno v:
IEEE Access, Vol 11, Pp 120095-120130 (2023)
Deep Learning (DL) techniques are being used in various critical applications like self-driving cars. DL techniques such as Deep Neural Networks (DNN), Deep Reinforcement Learning (DRL), Federated Learning (FL), and Transfer Learning (TL) are prone t
Externí odkaz:
https://doaj.org/article/7edc1c85f14a42209fd09d65cc0749a6
Publikováno v:
IEEE Access, Vol 11, Pp 88152-88160 (2023)
Pneumonia is an inflammation of the lungs caused by pathogens or autoimmune diseases, with about 450 million patients worldwide each year. Chest X–ray analysis is the most common radiographic method used to diagnose pneumonia, and advances in deep
Externí odkaz:
https://doaj.org/article/81910b84f8864472a630ab42df3c5868
Autor:
Sumaira Manzoor, Eun-Jin Kim, Sung-Hyeon Joo, Sang-Hyeon Bae, Gun-Gyo In, Kyeong-Jin Joo, Jun-Hyeon Choi, Tae-Yong Kuc
Publikováno v:
IEEE Access, Vol 10, Pp 77898-77921 (2022)
Deep learning based models on the edge devices have received considerable attention as a promising means to handle a variety of AI applications. However, deploying the deep learning models in the production environment with efficient inference on the
Externí odkaz:
https://doaj.org/article/b9ece7e93f7449c9a76760d6abe80c71
Publikováno v:
IEEE Access, Vol 10, Pp 34716-34730 (2022)
Early classification of brain tumors from magnetic resonance imaging (MRI) plays an important role in the diagnosis of such diseases. There are many diagnostic imaging methods used to identify tumors in the brain. MRI is commonly used for such tasks
Externí odkaz:
https://doaj.org/article/46581dd86e1d4b5baabeeffdf6ce101a
Publikováno v:
IEEE Access, Vol 9, Pp 125403-125415 (2021)
The task of automated essay scoring (AES) continues to attract interdisciplinary attention due to its commercial and educational importance as well as related research challenges. Traditional AES approaches rely on handcrafted features, which are tim
Externí odkaz:
https://doaj.org/article/f4852e74f8454e9db71f16f064889592
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10953-10963 (2021)
Forest canopy cover (FCC) plays an important role in many ecological, hydrological and forestry applications. For large-scale applications, FCC is usually estimated from remotely sensed data by inverting radiative transfer models (RTMs) or using data
Externí odkaz:
https://doaj.org/article/85399ec30deb4e0aa5a97f8662d06943
Autor:
Leilei Zhou, Zuoheng Zhang, Xindao Yin, Hong-Bing Jiang, Jie Wang, Guan Gui, Yu-Chen Chen, Jin-Xia Zheng
Publikováno v:
IEEE Access, Vol 8, Pp 17527-17534 (2020)
In this paper, we propose a transfer learning-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) method for classifying fibroadenoma and invasive ductal carcinoma (IDC) in breast tumors. A total of 207 breast tumors from patients we
Externí odkaz:
https://doaj.org/article/2189d2f1dd3546cdb6eca1e690758a3f
Publikováno v:
IEEE Access, Vol 8, Pp 165837-165848 (2020)
This paper proposes an adaptive energy management strategy for hybrid electric vehicles by combining deep reinforcement learning (DRL) and transfer learning (TL). This work aims to address the defect of DRL in tedious training time. First, an optimiz
Externí odkaz:
https://doaj.org/article/33903ce7e932434cbcb0483bd0a838d8
Publikováno v:
IEEE Access, Vol 8, Pp 173450-173460 (2020)
When used to recognize side-scan sonar images of shipwreck targets, the Faster R-CNN model is time-consuming and has low efficiency and a high missed detection rate for small targets. Considering that existing datasets of side-scan sonar images of sh
Externí odkaz:
https://doaj.org/article/838cd5c4ff7848039b41164328ab51c6