1.720   Artículos

 
en línea
Héctor Andrés Melgar Sasieta, Fabiano Duarte Beppler, Roberto Carlos do Santos Pacheco (Author)     Pág. 381 - 389
This paper presents a model that aims to facilitate the visualization of the knowledge stored in digital repositories using visual archetypes. Archetypes are structures that contain visual representations of the real world that are known a priori by the ... ver más
Revista: Acta Scientiarum: Technology    Formato: Electrónico

 
en línea
Santa Vallejo Figueroa, Valeria Nava Lozano     Pág. 1 - 21
Nowadays documents are the main way to represent information and knowledge in several domains. Continuously users store documents in hard disk or online media according to some personal organization based on topics, but such documents can contain one or ... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Mauricio Toro     Pág. 37 - 73
We can program a Real-Time (RT) music improvisation system in C++ without a formal semantic or we can model it with process calculi such as the Non-deterministic Timed Concurrent Constraint (ntcc) calculus. ?A Concurrent Constraints Factor Oracle (FO) mo... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Mahmoud Elkhodr, Samiya Khan and Ergun Gide    
In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring dat... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Weijun Li, Jintong Liu, Yuxiao Gao, Xinyong Zhang and Jianlai Gu    
The task of named entity recognition (NER) is to identify entities in the text and predict their categories. In real-life scenarios, the context of the text is often complex, and there may exist nested entities within an entity. This kind of entity is ca... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi    
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Qiwei Shen, Junjie Xu, Jiahao Mei, Xingjiao Wu and Daoguo Dong    
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiayao Liang and Mengxiao Yin    
With the rapid advancement of deep learning, 3D human pose estimation has largely freed itself from reliance on manually annotated methods. The effective utilization of joint features has become significant. Utilizing 2D human joint information to predic... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shubin Wang, Yuanyuan Chen and Zhang Yi    
Diabetic retinopathy is a prevalent eye disease that poses a potential risk of blindness. Nevertheless, due to the small size of diabetic retinopathy lesions and the high interclass similarity in terms of location, color, and shape among different lesion... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Marcos Orellana, Patricio Santiago García, Guillermo Daniel Ramon, Jorge Luis Zambrano-Martinez, Andrés Patiño-León, María Verónica Serrano and Priscila Cedillo    
Health problems in older adults lead to situations where communication with peers, family and caregivers becomes challenging for seniors; therefore, it is necessary to use alternative methods to facilitate communication. In this context, Augmentative and... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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