151   Artículos

 
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
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
Rui Zhang, Mingwei Yao, Zijie Qiu, Lizhuo Zhang, Wei Li and Yue Shen    
Wheat breeding heavily relies on the observation of various traits during the wheat growth process. Among all traits, wheat head density stands out as a particularly crucial characteristic. Despite the realization of high-throughput phenotypic data colle... ver más
Revista: Agriculture    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
Yuhuan Wu and Yonghong Wu    
Salient object detection (SOD) aims to identify the most visually striking objects in a scene, simulating the function of the biological visual attention system. The attention mechanism in deep learning is commonly used as an enhancement strategy which e... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Alexey N. Beskopylny, Evgenii M. Shcherban?, Sergey A. Stel?makh, Levon R. Mailyan, Besarion Meskhi, Irina Razveeva, Alexey Kozhakin, Diana El?shaeva, Nikita Beskopylny and Gleb Onore    
The creation and training of artificial neural networks with a given accuracy makes it possible to identify patterns and hidden relationships between physical and technological parameters in the production of unique building materials, predict mechanical... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Feiyan Yu, Erik Champion and David McMeekin    
The Australian Time Layered Cultural Map platform was created to help digital humanities scholars investigate how online geospatial tools could provide exemplars to their humanities colleagues on how historical collections and cultural data could be exte... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Philipp Gabler, Bernhard C. Geiger, Barbara Schuppler and Roman Kern    
Superficially, read and spontaneous speech?the two main kinds of training data for automatic speech recognition?appear as complementary, but are equal: pairs of texts and acoustic signals. Yet, spontaneous speech is typically harder for recognition. This... ver más
Revista: Information    Formato: Electrónico

 
en línea
Alireza Alaei, Ying Wang, Vinh Bui and Bela Stantic    
Social media have been a valuable data source for studying people?s opinions, intentions, and behaviours. Such a data source incorporating advanced big data analysis methods, such as machine-operated emotion and sentiment analysis, will open unprecedente... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Beini Zhang, Liping Li, Yetao Lyu, Shuguang Chen, Lin Xu and Guanhua Chen    
As an important part of the industrialization process, fully automated instrument monitoring and identification are experiencing an increasingly wide range of applications in industrial production, autonomous driving, and medical experimentation. However... ver más
Revista: Applied Sciences    Formato: Electrónico

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