Výsledky vyhledávání

Akademický článek

FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK (MT)

Autor: QIN Bo, LUO QuanYi, FENG WeiWei, ZHANG Peng, ZHAO ZhenHua, LI ZiXian, WANG Zhuo

Publikováno v: Jixie qiangdu, Pp 262-270 (2023)

The data-driven intelligent diagnosis of rolling bearing status suffers from low recognition rate due to the poor quality of learning samples in the process of identification model construction. To address this problem, a method is proposed to improv

Externí odkaz: https://doaj.org/article/764df842fc2341df9127644ad28ad312

Zobrazit plný text záznamu

Report

PanelNet: Understanding 360 Indoor Environment via Panel Representation

Autor: Yu, Haozheng, He, Lu, Jian, Bing, Feng, Weiwei, Liu, Shan

Indoor 360 panoramas have two essential properties. (1) The panoramas are continuous and seamless in the horizontal direction. (2) Gravity plays an important role in indoor environment design. By leveraging these properties, we present PanelNet, a fr

Externí odkaz: http://arxiv.org/abs/2305.09078

Zobrazit plný text záznamu

Akademický článek

Crystal structure of methyl 2-methyl-4-(3-methoxyphenyl)-5-oxo-1,4,5,6,7,8-hexahydroquinoline-3-carboxylate, C19H21NO4

Autor: Ma Jun, Dai Weiwei, Feng Weiwei, Lin Tingting, Zhou Lijing, Qin Wei, Wang Xuyang

Publikováno v: Zeitschrift für Kristallographie - New Crystal Structures, Vol 233, Iss 5, Pp 945-946 (2018)

C19H21NO4, monoclinic, C2/c (no. 15), a = 17.349(5) Å, b = 7.354(2) Å, c = 25.757(7) Å, β = 97.637(5)°, V = 3257.1(16) Å3, Z = 8, Rgt(F) = 0.0444, wRref(F2) = 0.1141, T = 296(2) K.

Externí odkaz: https://doaj.org/article/7e0ab313d1854f15806ff67a895450e3

Zobrazit plný text záznamu