Výsledky vyhledávání

Akademický článek

Predicting rock mass rating ahead of the tunnel face with Bayesian estimation

Autor: Xiaojun Li, Ziyang Chen, Li Tang, Chao Chen, Tao Li, Jiaxin Ling, Yanyun Lu, Yi Rui

Publikováno v: Frontiers in Earth Science, Vol 12 (2024)

The rock mass rating (RMR) system plays a crucial role in geomechanics assessments for tunnel projects. However, conventional methods combining empirical and geostatistical approaches often yield inaccuracies, particularly in areas with weak strata s

Externí odkaz: https://doaj.org/article/3c879ffccea44c84abc9d681866af3d1

Zobrazit plný text záznamu

Photovoltaic Power Forecasting Based on SVM Optimized by Improved ABC

Autor: Lin Liu, Yanyun Lu, Shuqin Li

Publikováno v: IOP Conference Series: Earth and Environmental Science. 474:052036

In order to improve the accuracy of photovoltaic power output prediction, a photovoltaic power prediction method based on similar days and improved artificial bee colony support vector machine is proposed. Firstly, through calculating the Euclidean d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::98f9264c1f57726dd42477c256b5a55f
https://doi.org/10.1088/1755-1315/474/5/052036

Zobrazit plný text záznamu

Soil Water Balance and Water Use Efficiency of Rain-fed Maize under a Cool Temperate Climate as Modeled by the AquaCrop

Autor: Zhang Ruining, Yue Ding, Meng Li, Linjing Tian, Pu Xiao, Weimin Wang, Yanyun Lu, Dong Xue, Liu Xunliang

Publikováno v: MATEC Web of Conferences, Vol 246, p 01059 (2018)

The AquaCrop model has been widely studied and examined for its feasibility and applic ability in simulating the crop growth – water relationship under tropical and warm temperate. How ever, the model is rarely tested under cool temperate climates.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f5d52463f25ad3c5d635d161cfd7690
https://doaj.org/article/bba55a66c07d4477bb3464efe0767bf6

Zobrazit plný text záznamu

Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features

Autor: Khaled Boukharouba, Jacques Boonaert, Yanyun Lu, Anthony Fleury, Stéphane Lecuche

Publikováno v: Neurocomputing
Neurocomputing, Elsevier, 2014, 126, pp.132-140. ⟨10.1016/j.neucom.2012.08.071⟩

International audience; The goal of the paper is to present a new on-line human recognition system, which is able to classify persons with adaptive abilities using an incremental classifier. The proposed incremental SVM is fast, as its training perio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::983fec7c6b8a294fb6afe93424008dd3
https://doi.org/10.1016/j.neucom.2012.08.071

Zobrazit plný text záznamu

Online person identification and new person discovery using appearance features

Autor: Anthony Fleury, Jacques Boonaert, Sébastien Ambellouis, Yanyun Lu, Stéphane Lecoeuche

Publikováno v: EAIS

Person identification is an important but still challenging problem in video surveillance. This work designs a completely automatic appearance-based person identification system, which has the ability to achieve new person discovery and classificatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f282a17b62ee857688222f25d2702684
https://doi.org/10.1109/eais.2015.7368794

Zobrazit plný text záznamu

On-Line Human Recognition from Video Surveillance Using Incremental SVM on Texture and Color Features

Autor: Stéphane Lecoeuche, Jacques Booneart, Yanyun Lu, Anthony Fleury

Publikováno v: Adaptive and Intelligent Systems ISBN: 9783642238567
ICAIS

The goal of this paper is to contribute to the realization of a system able to recognize people in video surveillance images. The context of this study is to classify a new frame including a person into a set of already known people, using an increme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bfb3c97da656d283a15d8903441c404f
https://doi.org/10.1007/978-3-642-23857-4_7