Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Lianfang Tian"'
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2348 (2024)
Semi-supervised object detection helps to monitor and manage maritime transportation effectively, saving labeling costs. Currently, many semi-supervised object detection methods use a combination of data augmentation and pseudo-label to improve model
Externí odkaz:
https://doaj.org/article/86cd0fe5394e4596a0838ff94dffc10c
Publikováno v:
Drones, Vol 8, Iss 7, p 294 (2024)
Due to long-term exposure to the wild, insulators are prone to various defects that affect the safe operation of the power system. In recent years, the combination of drones and deep learning has provided a more intelligent solution for insulator aut
Externí odkaz:
https://doaj.org/article/10a3e77f86b24f2a9a001fba98593935
Publikováno v:
Entropy, Vol 26, Iss 7, p 550 (2024)
Since the reliability of the avionics module is crucial for aircraft safety, the fault diagnosis and health management of this module are particularly significant. While deep learning-based prognostics and health management (PHM) methods exhibit high
Externí odkaz:
https://doaj.org/article/cd0d5adca9ed4dce88fda311670fb261
Publikováno v:
IET Computer Vision, Vol 16, Iss 2, Pp 143-158 (2022)
Abstract Skeleton‐based action recognition algorithms have been widely applied to human action recognition. Graph convolutional networks (GCNs) generalize convolutional neural networks (CNNs) to non‐Euclidean graphs and achieve significant perfor
Externí odkaz:
https://doaj.org/article/dd25806ce8c74c41a43a6f39474d50a6
Publikováno v:
IEEE Access, Vol 7, Pp 103693-103705 (2019)
In applications of pulse-width modulation (PWM) rectifiers, the high quality of the DC power is required. The fluctuation of grid voltage and the switching of equipment connected to the DC supply are likely to cause a sudden change in the DC-link vol
Externí odkaz:
https://doaj.org/article/520320c8578843bfbe4ed32369ef170d
Autor:
Jameel Ahmed Bhutto, Lianfang Tian, Qiliang Du, Zhengzheng Sun, Lubin Yu, Muhammad Faizan Tahir
Publikováno v:
Entropy, Vol 24, Iss 3, p 393 (2022)
Medical image fusion (MIF) has received painstaking attention due to its diverse medical applications in response to accurately diagnosing clinical images. Numerous MIF methods have been proposed to date, but the fused image suffers from poor contras
Externí odkaz:
https://doaj.org/article/aa7716182bf941b09b90c65a80e48e1d
Autor:
Jameel Ahmed Bhutto, Lianfang Tian, Qiliang Du, Zhengzheng Sun, Lubin Yu, Toufique Ahmed Soomro
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 939 (2022)
Deep learning (DL) has achieved significant attention in the field of infrared (IR) and visible (VI) image fusion, and several attempts have been made to enhance the quality of the final fused image. It produces better results than conventional metho
Externí odkaz:
https://doaj.org/article/4b237e2cc68d4fb3b2eddc7110d17a57
Publikováno v:
IEEE Access, Vol 6, Pp 71976-71987 (2018)
At present, many feature descriptors-based registration methods have been proven to be robust in case of complex intensity distortions. However, most of these feature descriptors are only related to intensity information in a patch of neighboring pix
Externí odkaz:
https://doaj.org/article/aa91d4408cee4ef6a91533373dfe8469
Selection of Encoding Cardinality for a Class of Fitness Functions to Obtain Order-1 Building Blocks
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 8, Iss 1 (2015)
Encoding plays a key role in determining the optimization efficiency of a genetic algorithm. In the optimization of a continuous function, binary encodings are normally used due to their low coding-alphabet cardinalities. Nevertheless, from the viewp
Externí odkaz:
https://doaj.org/article/e4e3cb276daa4cbb9b133b430f876c3c
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 5, Iss 1 (2012)
Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer. In this paper, an improved intelligent recognition method of lung nodule in HRCT combing rule-based and cost-sensitive support vector mach
Externí odkaz:
https://doaj.org/article/09389cc1d48f4d83ba3c613f011aca0e