27   Artículos

 
en línea
Xiu Li, Aron Henriksson, Martin Duneld, Jalal Nouri and Yongchao Wu    
Educational content recommendation is a cornerstone of AI-enhanced learning. In particular, to facilitate navigating the diverse learning resources available on learning platforms, methods are needed for automatically linking learning materials, e.g., in... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Jing Liu and Yong Zhong    
As a structural indicator of dense subgraphs, k-core has been widely used in community search due to its concise and efficient calculation. Many community search algorithms have been expanded on the basis of k-core. However, relevant algorithms often set... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Liping Zhang, Jing Li and Song Li    
Aiming at the problem that the existing spatial keyword group query problem did not consider the query requirements with exclusion keywords and time attributes, a time-aware group query problem with exclusion keywords (TEGSKQ) is proposed for the first t... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Damião Ribeiro de Almeida, Cláudio de Souza Baptista and Fabio Gomes de Andrade    
The use of location-based sensors has increased exponentially. Tracking moving objects has become increasingly common, consolidating a new field of research that focuses on trajectory data management. Such trajectories may be semantically enriched using ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Olegário Nelson Azevedo Pereira, Maria Rosário Bastos, José Carlos Ferreira and João Alveirinho Dias    
This article explores the development of human occupation and the anthropogenic impacts at Costa da Caparica, a Portuguese coastal town that faces several challenges concerning coastal erosion processes. A historical long-term analysis was made, mainly t... ver más
Revista: Water    Formato: Electrónico

 
en línea
Yousif A. Alhaj, Abdelghani Dahou, Mohammed A. A. Al-qaness, Laith Abualigah, Aaqif Afzaal Abbasi, Nasser Ahmed Obad Almaweri, Mohamed Abd Elaziz and Robertas Dama?evicius    
We propose a novel text classification model, which aims to improve the performance of Arabic text classification using machine learning techniques. One of the effective solutions in Arabic text classification is to find the suitable feature selection me... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Andrea Chaves, Cyrille Kesiku and Begonya Garcia-Zapirain    
In recent years, the evolution of technology has led to an increase in text data obtained from many sources. In the biomedical domain, text information has also evidenced this accelerated growth, and automatic text summarization systems play an essential... ver más
Revista: Information    Formato: Electrónico

 
en línea
Karen Panetta, Landry Kezebou, Victor Oludare, James Intriligator and Sos Agaian    
The concept of searching and localizing vehicles from live traffic videos based on descriptive textual input has yet to be explored in the scholarly literature. Endowing Intelligent Transportation Systems (ITS) with such a capability could help solve cri... ver más
Revista: AI    Formato: Electrónico

 
en línea
Areej Alsini, Du Q. Huynh and Amitava Datta    
Hashtag recommendation suggests hashtags to users while they write microblogs in social media platforms. Although researchers have investigated various methods and factors that affect the performance of hashtag recommendations in Twitter and Sina Weibo, ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Dimitrios Amanatidis, Ifigeneia Mylona, Irene (Eirini) Kamenidou, Spyridon Mamalis and Aikaterini Stavrianea    
Instagram is perhaps the most rapidly gaining in popularity of photo and video sharing social networking applications. It has been widely adopted by both end-users and organizations, posting their personal experiences or expressing their opinion during s... ver más
Revista: Applied Sciences    Formato: Electrónico

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