1.027   Artículos

 
en línea
Georgia Stamou, Matina Katsiapi, Maria Moustaka-Gouni and Evangelia Michaloudi    
Grazing potential (GP, in % day-1) was estimated for the plankton communities of 13 Greek lakes covering the trophic spectrum, in order to examine its sensitiveness in discriminating different classes of ecological water quality. Lakes with high GP value... ver más
Revista: Water    Formato: Electrónico

 
en línea
Houaria ABED, Lynda ZAOUI     Pág. 97 - 113
Recent years have witnessed great interest in developing methods for content-based image retrieval (CBIR). Generally, the image search results which are returned by an image search engine contain multiple topics, and organizing the results into different... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Jie Ren, Changmiao Li, Yaohui An, Weichuan Zhang and Changming Sun    
Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of images (e.g., birds, flowers, and airplanes) belonging to different subclasses of the same species by a small number of labeled samples. Through feature representa... ver más
Revista: AI    Formato: Electrónico

 
en línea
Yilei Wang, Yuelin Hu, Wenliang Xu and Futai Zou    
Dark web vendor identification can be seen as an authorship aliasing problem, aiming to determine whether different accounts on different markets belong to the same real-world vendor, in order to locate cybercriminals involved in dark web market transact... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chuanyun Xu, Hang Wang, Yang Zhang, Zheng Zhou and Gang Li    
Few-shot learning refers to training a model with a few labeled data to effectively recognize unseen categories. Recently, numerous approaches have been suggested to improve the extraction of abundant feature information at hierarchical layers or multipl... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Josue-Rafael Montes-Martínez, Hugo Jiménez-Hernández, Ana-Marcela Herrera-Navarro, Luis-Antonio Díaz-Jiménez, Jorge-Luis Perez-Ramos and Julio-César Solano-Vargas    
Artificial vision system applications have generated significant interest as they allow information to be obtained through one or several of the cameras that can be found in daily life in many places, such as parks, avenues, squares, houses, etc. When th... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Joana Carneiro, Dália Loureiro, Marta Cabral and Dídia Covas    
This paper presents and demonstrates a novel scenario-building methodology that integrates contextual and future time uncertainty into the performance assessment of water distribution networks (WDNs). A three-step approach is proposed: (i) System context... ver más
Revista: Water    Formato: Electrónico

 
en línea
Costas Panagiotakis    
In this paper, we present a general version of polygonal fitting problem called Unconstrained Polygonal Fitting (UPF). Our goal is to represent a given 2D shape S with an N-vertex polygonal curve P with a known number of vertices, so that the Intersectio... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Diego Sánchez-Moreno, Vivian F. López Batista, María Dolores Muñoz Vicente, Ángel Luis Sánchez Lázaro and María N. Moreno-García    
Information from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow for... ver más
Revista: Information    Formato: Electrónico

 
en línea
Bojana Tubic, Stefan Andjus, Katarina Zoric, Bo?ica Vasiljevic, Katarina Jovicic, Jelena Canak Atlagic and Momir Paunovic    
The aim of the study was to test the significance of the EPT index in the water quality assessment of three types of water bodies in hilly and mountainous region of Serbia. The aquatic macroinvertebrate community was dominated by the group of insects, of... ver más
Revista: Water    Formato: Electrónico

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