Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Yigang Cen"'
Autor:
Ruofei Liang, Yigang Cen
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1431 (2024)
In the realm of short-range radar applications, the focus on detecting “low, slow, and small” (LSS) targets has escalated, marking a pivotal aspect of critical area defense. This study pioneers the use of one-dimensional convolutional neural netw
Externí odkaz:
https://doaj.org/article/bd35094bc3a840e2ba37948c94ec7782
Autor:
Lei Xu, Shichao Kan, Xiying Yu, Ye Liu, Yuxia Fu, Yiqiang Peng, Yanhui Liang, Yigang Cen, Changjun Zhu, Wei Jiang
Publikováno v:
iScience, Vol 26, Iss 11, Pp 108145- (2023)
Summary: Despite its remarkable potential for transforming low-resolution images, deep learning faces significant challenges in achieving high-quality superresolution microscopy imaging from wide-field (conventional) microscopy. Here, we present X-Mi
Externí odkaz:
https://doaj.org/article/1eb7bb5ea2ca46b499c5689a6588e744
Publikováno v:
IET Computer Vision, Vol 13, Iss 2, Pp 146-156 (2019)
It is a great challenge to develop an effective appearance model for robust visual tracking due to various interfering factors, such as pose change, occlusion, background clutter etc. More and more visual tracking methods tend to exploit the local ap
Externí odkaz:
https://doaj.org/article/5f4344680347454c8b2084d76f3c05ba
Publikováno v:
IEEE Access, Vol 7, Pp 153102-153122 (2019)
In this paper, we study the minimization of lp-q (0 p and lq norms/quasi-norms, as a nonconvex metric for solving unconstrained nonlinear programming. We first establish an exact (stable) sparse recovery condition for the lp-q constrained problem und
Externí odkaz:
https://doaj.org/article/808b2f083c874bd2b9005fae376a7254
Publikováno v:
IEEE Access, Vol 7, Pp 83209-83228 (2019)
Tracking methods based on a correlation filter have attracted much attention because of their high efficiency and strong robustness. However, a tracker based on a single feature is obviously not sufficient to adapt to the complex appearance changes o
Externí odkaz:
https://doaj.org/article/c7bd912787b3467185cc1d65d3be33b4
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)
Object detection and distance estimation based on videos are important issues in advanced driver-sssistant system (ADAS). In practice, fisheye cameras are widely used to capture images with a large field of view, which will produce distorted image fr
Externí odkaz:
https://doaj.org/article/ee5a0a21bc61458098d9800723b56c14
Autor:
Nenad Stefanovic, Marija Blagojevic, Ivan Pokrajac, Marian Greconici, Yigang Cen, Vladimir Mladenovic
Publikováno v:
Entropy, Vol 22, Iss 10, p 1151 (2020)
Considering that networks based on New Radio (NR) technology are oriented to provide services of desired quality (QoS), it becomes questionable how to model and predict targeted QoS values, especially if the physical channel is dynamically changing.
Externí odkaz:
https://doaj.org/article/eba39292fc2742ca8ec5c10803bcebc7
Publikováno v:
Sensors, Vol 19, Iss 6, p 1422 (2019)
The fog radio access network (F-RAN) equipped with enhanced remote radio heads (eRRHs), which can pre-store some requested files in the edge cache and support mobile edge computing (MEC). To guarantee the quality-of-service (QoS) and energy efficienc
Externí odkaz:
https://doaj.org/article/42cbb7ef33034a93931843d3fa89d432
Publikováno v:
Entropy, Vol 20, Iss 1, p 62 (2018)
This paper presents a method for shortening the computation time and reducing the number of math operations required in complex calculations for the analysis, simulation, and design of processes and systems. The method is suitable for education and e
Externí odkaz:
https://doaj.org/article/9d201b3f628342e8b48584cad3672dce
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Abnormal events detection plays an important role in the video surveillance, which is a challenging subject in the intelligent detection. In this paper, based on a novel motion feature descriptor, that is, the histogram of maximal optical flow projec
Externí odkaz:
https://doaj.org/article/b6d4d818faf345f6907f76f00fe94d46