Zobrazeno 1 - 10
of 103 365
pro vyhledávání: '"adversarial network"'
Autor:
Wang, Jiguang1,2 (AUTHOR), Zhang, Yilun3 (AUTHOR), Xing, Xinjie4 (AUTHOR), Zhan, Yuanzhu5 (AUTHOR), Chan, Wai Kin Victor1,2 (AUTHOR) chanw@sz.tsinghua.edu.cn, Tiwari, Sunil6 (AUTHOR)
Publikováno v:
Annals of Operations Research. Aug2024, Vol. 339 Issue 1/2, p427-453. 27p.
Simulations of the dark matter distribution throughout the Universe are essential in order to analyse data from cosmological surveys. $N$-body simulations are computationally expensive, and many cheaper alternatives (such as lognormal random fields)
Externí odkaz:
http://arxiv.org/abs/2410.07349
Autor:
Zheng, Jiaqi1 (AUTHOR) 3220608049@stu.cuit.edu.cn, Wu, Xi1 (AUTHOR), Li, Xiaojie1 (AUTHOR), Peng, Jing1 (AUTHOR) pengj@cuit.edu.cn
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 18, p5972. 21p.
Publikováno v:
Insight: Non-Destructive Testing & Condition Monitoring. Aug2024, Vol. 66 Issue 8, p503-510. 8p.
Non-suicidal self-injury (NSSI) is a serious threat to the physical and mental health of adolescents, significantly increasing the risk of suicide and attracting widespread public concern. Electroencephalography (EEG), as an objective tool for identi
Externí odkaz:
http://arxiv.org/abs/2410.12159
User Satisfaction Estimation is an important task and increasingly being applied in goal-oriented dialogue systems to estimate whether the user is satisfied with the service. It is observed that whether the user's needs are met often triggers various
Externí odkaz:
http://arxiv.org/abs/2410.09556
The perception module in autonomous vehicles (AVs) relies heavily on deep learning-based models to detect and identify various objects in their surrounding environment. An AV traffic sign classification system is integral to this module, which helps
Externí odkaz:
http://arxiv.org/abs/2409.17311
Autor:
Thilakanayake, Thakshila, De Silva, Oscar, Wanasinghe, Thumeera R., Mann, George K., Jayasiri, Awantha
This paper presents a generative adversarial network (GAN) based approach for radar image enhancement. Although radar sensors remain robust for operations under adverse weather conditions, their application in autonomous vehicles (AVs) is commonly li
Externí odkaz:
http://arxiv.org/abs/2409.00196
Metasurfaces, capable of manipulating light at subwavelength scales, hold great potential for advancing optoelectronic applications. Generative models, particularly Generative Adversarial Networks (GANs), offer a promising approach for metasurface in
Externí odkaz:
http://arxiv.org/abs/2408.16231
Autor:
Dai, Yan, Huang, Longbo
Stochastic Network Optimization (SNO) concerns scheduling in stochastic queueing systems. It has been widely studied in network theory. Classical SNO algorithms require network conditions to be stationary with time, which fails to capture the non-sta
Externí odkaz:
http://arxiv.org/abs/2408.16215