|
|
|
Alessio Zanza, Rodolfo Reda, Giuseppe Familiari, Stefania Annarita Nottola, Dario Di Nardo, Luca Testarelli and Orlando Donfrancesco
The aim of this study is to assess the surface alterations of four reciprocating instruments before and after the shaping of four resin-simulated root canals. The following four different reciprocating instruments are selected: 10 Reciproc Blue (RB25), 1...
ver más
|
|
|
|
|
|
Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan and Jinbo Bi
Regularized sparse learning with the l0
l
0
-norm is important in many areas, including statistical learning and signal processing. Iterative hard thresholding (IHT) methods are the state-of-the-art for nonconvex-constrained sparse learning due to their ...
ver más
|
|
|
|
|
|
Yan-Feng Li, Ming Huang, Song Bai, Yuan Chen and Hong-Zhong Huang
The momentum wheel is a key component of the satellite attitude control system and has a direct impact on the reliability and overall life of the satellite. The momentum wheel has the characteristics of a high reliability, long life, and complex failure ...
ver más
|
|
|
|
|
|
Hiroshi Takagi and Fumitaka Furukawa
Uncertainties inherent in gate-opening speeds are rarely studied in dam-break flow experiments due to the laborious experimental procedures required. For the stochastic analysis of these mechanisms, this study involved 290 flow tests performed in a dam-b...
ver más
|
|
|
|
|
|
Umberto Junior Mele, Luca Maria Gambardella and Roberto Montemanni
Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with t...
ver más
|
|
|