13   Artículos

 
en línea
Linjing Hu, Jiachen Wang, Zhaoze Guo and Tengda Zheng    
Power load forecasting plays an important role in power systems, and the accuracy of load forecasting is of vital importance to power system planning as well as economic efficiency. Power load data are nonsmooth, nonlinear time-series and ?noisy? data. T... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Liangliang Cheng, Yunfeng Dou, Jian Zhou, Huabin Wang and Liang Tao    
Because of the acoustic characteristics of bone-conducted (BC) speech, BC speech can be enhanced to better communicate in a complex environment with high noise. Existing BC speech enhancement models have weak spectral recovery capability for the high-fre... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Hongpo Zhang, Hongzhuang Gu, Junli Gao, Peng Lu, Guanhe Chen and Zongmin Wang    
Atrial fibrillation (AF) is an arrhythmia that may cause blood clots and increase the risk of stroke and heart failure. Traditional 12-lead electrocardiogram (ECG) acquisition equipment is complex and difficult to carry. Short single-lead ECG recordings ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xingyuan Chen, Huahu Xu, Yang Li and Minjie Bian    
Person re-identification (Re-ID) has attracted attention due to its wide range of applications. Most recent studies have focused on the extraction of deep features, while ignoring color features that can remain stable, even for illumination variations an... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Saraswati Sridhar and Vidya Manian    
Electroencephalogram signals are used to assess neurodegenerative diseases and develop sophisticated brain machine interfaces for rehabilitation and gaming. Most of the applications use only motor imagery or evoked potentials. Here, a deep learning netwo... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Sreela S R and Sumam Mary Idicula    
Due to the rapid growth of deep learning technologies, automatic image description generation is an interesting problem in computer vision and natural language generation. It helps to improve access to photo collections on social media and gives guidance... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yue Li, Xutao Wang and Pengjian Xu    
Text classification is of importance in natural language processing, as the massive text information containing huge amounts of value needs to be classified into different categories for further use. In order to better classify text, our paper tries to b... ver más
Revista: Future Internet    Formato: Electrónico

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