Zobrazeno 1 - 10
of 2 847
pro vyhledávání: '"generative adversarial network (GAN)"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2384-2394 (2024)
Existing 3D human pose estimators perform well on a single dataset but are limited by the single pose structure of the training data, resulting in insufficient generalization to cross-domain experiments. Existing methods mitigate this deficiency by i
Externí odkaz:
https://doaj.org/article/4232f6f5ba3e4bde8d503f707ee1ddc6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Effectively compressing transmitted images and reducing the distortion of reconstructed images are challenges in image semantic communication. This paper proposes a novel image semantic communication model that integrates a dynamic decision
Externí odkaz:
https://doaj.org/article/fadbe02705954d65a9331086d04a21a9
Autor:
Fuqin Deng, Jialong Luo, Lanhui Fu, Yonglong Huang, Jianle Chen, Nannan Li, Jiaming Zhong, Tin Lun Lam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This article aims to improve the deep-learning-based surface defect recognition. In actual manufacturing processes, there are issues such as data imbalance, insufficient diversity, and poor quality of augmented data in the collected image da
Externí odkaz:
https://doaj.org/article/5c1261b3b6b04c47b2623bca48bedfd5
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 6, Pp 1590-1599 (2024)
On the one hand, the existing knowledge graph entity prediction methods only use the neighborhood and graph structure information to enhance the node information, and ignore the multi-modal information outside the knowledge graph to enhance the knowl
Externí odkaz:
https://doaj.org/article/cef40bb53cc84431bcb3c90a64bcd03f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Remote sensing is gradually playing an important role in the detection of ground information. However, the quality of remote-sensing images has always suffered from unexpected natural conditions, such as intense haze phenomenon. Recently, co
Externí odkaz:
https://doaj.org/article/074f9bec84284fd8ad9904a2bf56ebc1
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 318-329 (2024)
Introduction: Multiple sclerosis (MS) is a complex neurodegenerative disorder that affects the brain and spinal cord. In this study, we applied a deep learning-based approach using the StyleGAN model to explore patterns related to MS and predict dise
Externí odkaz:
https://doaj.org/article/101561786be7406c8752749e14ea8bcc
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 1, Pp 12-28 (2024)
Quick Access Recorder (QAR), an important device for storing data from various flight parameters, contains a large amount of valuable data and comprehensively records the real state of the airline flight. However, the recorded data have certain missi
Externí odkaz:
https://doaj.org/article/c8d8f78ea9c14164a7cfcffba3a4d3bf
Autor:
Albha O'Dwyer Boyle, Reza Nikandish
Publikováno v:
IEEE Access, Vol 12, Pp 102688-102701 (2024)
In this article, we present a hybrid quantum-classical generative adversarial network (GAN) for near-term quantum processors. The hybrid GAN comprises a variational generator and a discriminator quantum neural network, which are trained using a class
Externí odkaz:
https://doaj.org/article/de2a703fe53a470487ada8b18d3254c8
Autor:
Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Dmitry Zhiganov, Vishal Shete, Markus Pflitsch, Alexey Melnikov
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-14 (2024)
The drug design process currently requires considerable time and resources to develop each new compound that enters the market. This work develops an application of hybrid quantum generative models based on the integration of parameterized quantum ci
Externí odkaz:
https://doaj.org/article/befb5560bf3b49f8b5b0fcb555027d50
Publikováno v:
IEEE Access, Vol 12, Pp 89679-89690 (2024)
In recent years, there has been a significant increase in the development of autonomous vehicles. One critical task for ensuring their safety and dependability, is obstacle avoidance in challenging weather conditions. However, no studies have explore
Externí odkaz:
https://doaj.org/article/77d8ad1066c947e39052fb22d4e50f64