|
|
|
Yuye Zou, Bohan Su and Yanhui Chen
Transportation is one of the major carbon sources in China. Container throughput is one of the main influencing factors of ports? carbon emission budget, and accurate prediction of container throughput is of great significance to the study of carbon emis...
ver más
|
|
|
|
|
|
Lena A. Hofmann, Steffen Lau and Johannes Kirchebner
Linear statistical methods may not be suited to the understanding of psychiatric phenomena such as aggression due to their complexity and multifactorial origins. Here, the application of machine learning (ML) algorithms offers the possibility of analyzin...
ver más
|
|
|
|
|
|
Jae-Hong Choi, Byung Gyu Gil, Yoon-Ji Kim and Dong-Yul Lee
The purpose of this study was to investigate the possible predictors of success of microimplant-assisted rapid palatal expansion (MARPE) in skeletally mature patients. Additionally, factors associated with the amount of maxillary expansion were analyzed....
ver más
|
|
|
|
|
|
Wen Zhang, Yanqun Wu, Jian Shi, Hongze Leng, Yun Zhao and Jizhou Guo
In shallow water, passive sonar usually has great difficulty in discriminating a surface acoustic source from an underwater one. To solve this problem, a supervised machine learning method using only one hydrophone is implemented in this paper. Firstly, ...
ver más
|
|
|
|
|
|
Chang-ok Cho, Jin-Hyoung Jeong, Yun-jeong Kim, Jee Hun Jang, Sang-Sik Lee and Ki-young Lee
At relatively low effort level tasks, surface electromyogram (sEMG) spectral parameters have demonstrated an inconsistent ability to monitor localized muscle fatigue and predict endurance capacity. The main purpose of this study was to assess the potenti...
ver más
|
|
|