274   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
Guoqing Feng, Cheng Wang, Aichen Wang, Yuanyuan Gao, Yanan Zhou, Shuo Huang and Bin Luo    
Crop lodging is an important cause of direct economic losses and secondary disease transmission in agricultural production. Most existing methods for segmenting wheat lodging areas use a large-volume network, which poses great difficulties for annotation... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Robert Gorman    
This article investigates the stylometric usefulness of morphosyntactic annotation. Focusing on the style of literary texts, it argues that including morphosyntactic annotation in analyses of style has at least two important advantages: (1) maintaining a... ver más
Revista: Information    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
Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin    
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Qishun Mei and Xuhui Li    
To address the limitations of existing methods of short-text entity disambiguation, specifically in terms of their insufficient feature extraction and reliance on massive training samples, we propose an entity disambiguation model called COLBERT, which f... ver más
Revista: Information    Formato: Electrónico

 
en línea
Marie-Therese Charlotte Evans, Majid Latifi, Mominul Ahsan and Julfikar Haider    
Keyword extraction from Knowledge Bases underpins the definition of relevancy in Digital Library search systems. However, it is the pertinent task of Joint Relation Extraction, which populates the Knowledge Bases from which results are retrieved. Recent ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger, Adrian Galdran, Sandeep Gopalakrishnan, Jeffrey Niezgoda and Zeyun Yu    
Wound care professionals provide proper diagnosis and treatment with heavy reliance on images and image documentation. Segmentation of wound boundaries in images is a key component of the care and diagnosis protocol since it is important to estimate the ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Zahra Ameli, Shabnam Jafarpoor Nesheli and Eric N. Landis    
The application of deep learning (DL) algorithms has become of great interest in recent years due to their superior performance in structural damage identification, including the detection of corrosion. There has been growing interest in the application ... ver más
Revista: Infrastructures    Formato: Electrónico

 
en línea
Hui Liu, Kun Li, Luyao Ma and Zhijun Meng    
Headland boundary identification and ranging are the key supporting technologies for the automatic driving of intelligent agricultural machinery, and they are also the basis for controlling operational behaviors such as autonomous turning and machine lif... ver más
Revista: Agriculture    Formato: Electrónico

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