6   Artículos

« Anterior     Página: 1 de 1     Siguiente »

 
en línea
Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng and Xican Wang    
The next point-of-interest (POI) recommendation is one of the most essential applications in location-based social networks (LBSNs). Its main goal is to research the sequential patterns of user check-in activities and then predict a user?s next destinati... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yoshinari Motokawa and Toshiharu Sugawara    
In this paper, we propose an enhanced version of the distributed attentional actor architecture (eDA3-X) for model-free reinforcement learning. This architecture is designed to facilitate the interpretability of learned coordinated behaviors in multi-age... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Peng Li, Dezheng Zhang, Aziguli Wulamu, Xin Liu and Peng Chen    
A deep understanding of our visual world is more than an isolated perception on a series of objects, and the relationships between them also contain rich semantic information. Especially for those satellite remote sensing images, the span is so large tha... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Hyoung-Gook Kim, Dong-Ki Jeong and Jin-Young Kim    
The brain is more sensitive to stress than other organs and can develop many diseases under excessive stress. In this study, we developed a method to improve the accuracy of emotional stress recognition using multi-channel electroencephalogram (EEG) sign... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Tomasz Walczyna and Zbigniew Piotrowski    
The proliferation of ?Deep fake? technologies, particularly those facilitating face-swapping in images or videos, poses significant challenges and opportunities in digital media manipulation. Despite considerable advancements, existing methodologies ofte... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hayat Ullah and Arslan Munir    
The recognition of human activities using vision-based techniques has become a crucial research field in video analytics. Over the last decade, there have been numerous advancements in deep learning algorithms aimed at accurately detecting complex human ... ver más
Revista: Algorithms    Formato: Electrónico

« Anterior     Página: 1 de 1     Siguiente »