Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Chengzhe Xu"'
Publikováno v:
Shipin Kexue, Vol 45, Iss 7, Pp 191-201 (2024)
The sensory quality and metabolite profiles of the fresh and dried buds and leaves of Lycium from 26 cultivars (lines) were analyzed by sensory evaluation and metabolomics combined with multivariate statistical analysis. The results of sensory evalua
Externí odkaz:
https://doaj.org/article/aae6a073aa714f36be20ef37f9558e69
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 11885-11898 (2022)
Demand-side management is very critical in China’s energy systems because of its high fossil energy consumption and low system energy efficiency. A building shape factor is introduced in describing the architectural characteristics of different fun
Externí odkaz:
https://doaj.org/article/cbaec4e8cf514d409084e6231e63115e
Autor:
Wenda Zhang, Chengzhe Xu
Publikováno v:
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d108e5942d0210c3baec3438a493974
https://doi.org/10.1109/icsp54964.2022.9778555
https://doi.org/10.1109/icsp54964.2022.9778555
Autor:
Jingyu Zhang, Chengzhe Xu
Publikováno v:
2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0e60a076d3cbc80ec7e760d8c77a533
https://doi.org/10.1109/ipec54454.2022.9777561
https://doi.org/10.1109/ipec54454.2022.9777561
Reinforcement Learning (RL) is an area of machine learning concerned with enabling an agent to navigate an environment with uncertainty in order to maximize some notion of cumulative long-term reward. In this paper, we implement and analyze two diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf7647844cee9525b7a5674bd264046
Autor:
Chengzhe Xu1, Sakai, Norio1 norio@ped.med.osaka-u.ac.jp, Taniike, Masako1, Inui, Koji1, Ozono, Keiichi1
Publikováno v:
Journal of Human Genetics. Jun2006, Vol. 51 Issue 6, p548-554. 7p. 1 Diagram, 4 Charts.
Publikováno v:
Artificial Life and Robotics. 20:190-195
In this paper, a real time stochastic optimal control method for traffic signals of asymmetrical intersection is proposed. A modified cellular automaton (CA) traffic model and Bayesian network (BN) model are used to predict the traffic jams. Here, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69d3251156f2fd5ee3e55837f2e37b9c
https://doi.org/10.1007/s10015-015-0211-3
https://doi.org/10.1007/s10015-015-0211-3
Publikováno v:
Journal of the Optical Society of Korea. 13:116-122
In this paper, a robust method is developed to locate the irises of both eyes. The method doesn’t put any restrictions on the background. The method is based on the AdaBoost algorithm for face and eye candidate points detection. Candidate points ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11ab5bd2ab031637a826f112999c0608
https://doi.org/10.3807/josk.2009.13.1.116
https://doi.org/10.3807/josk.2009.13.1.116
Autor:
Chengzhe Xu, Intaek Kim
Publikováno v:
2011 Fourth International Joint Conference on Computational Sciences and Optimization.
This paper presents a new illumination normalization method for face recognition under various lighting conditions. While it results in similar performance as other optimal methods, through finding the discontinuity efficiently, simplified adaptive s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94712f02738e324f0276883f832916a
https://doi.org/10.1109/cso.2011.241
https://doi.org/10.1109/cso.2011.241
Publikováno v:
SPIE Proceedings.
This paper presents a new method for detecting poultry skin tumors based on serial feature fusion in hyperspectral images. First, some transform methods, including principal component analysis, discrete wavelet transform and band ratio method, are us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2702eb2dee6a5ccfc0b178c0130074b4
https://doi.org/10.1117/12.819393
https://doi.org/10.1117/12.819393