69   Artículos

 
en línea
Abdelghani Azri, Adil Haddi and Hakim Allali    
Collaborative filtering (CF), a fundamental technique in personalized Recommender Systems, operates by leveraging user?item preference interactions. Matrix factorization remains one of the most prevalent CF-based methods. However, recent advancements in ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Jiawei Zhu, Bo Li, Hao Ouyang, Yuhan Wang and Ziyue Bai    
Walking exercise is a prevalent physical activity in urban areas, with streetscapes playing a significant role in shaping preferences. Understanding this influence is essential for creating urban environments conducive to walking exercise and improving r... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Juan Fernando Flórez Marulanda, Cesar A. Collazos and Julio Ariel Hurtado    
Previous research has explored different models of synchronous remote learning environments supported by videoconferencing and virtual reality platforms. However, few studies have evaluated the preference and acceptance of synchronous remote learning in ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Songyuan Li, Hao Zeng, Huanyu Wang and Xi Li    
Salient Object Detection (SOD) aims at identifying the most visually distinctive objects in a scene. However, learning a mapping directly from a raw image to its corresponding saliency map is still challenging. First, the binary annotations of SOD impede... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar, Yahia Lebbah and Samir Loudni    
Pattern mining is a valuable tool for exploratory data analysis, but identifying relevant patterns for a specific user is challenging. Various interestingness measures have been developed to evaluate patterns, but they may not efficiently estimate user-s... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Abubaker Salem Mohamed Shibani, Masnizah Mohd, Ahmad Tarmizi Abdul Ghani, Mohamad Shanudin Zakaria and Sumaia Mohammed Al-Ghuribi    
E-learning is an innovative strategy for enhancing teaching and learning in digital environments with the goal of enhancing education. In the same context, recommendation models have been developed for predicting the user?s learning preferences. A task t... ver más
Revista: Information    Formato: Electrónico

 
en línea
Kokoy Siti Komariah, Ariana Tulus Purnomo, Ardianto Satriawan, Muhammad Ogin Hasanuddin, Casi Setianingsih and Bong-Kee Sin    
To pursue a healthy lifestyle, people are increasingly concerned about their food ingredients. Recently, it has become a common practice to use an online recipe to select the ingredients that match an individual?s meal plan and healthy diet preference. T... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Ewa Ropelewska and Krzysztof P. Rutkowski    
The ripening stage can affect consumer preference and the market value of peaches. This study was aimed at developing an objective, effective, and fast procedure for distinguishing the different stages of ripeness of peaches using image texture parameter... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Ruijing Li, Jianzhong Guo, Chun Liu, Zheng Li and Shaoqing Zhang    
With the popularity of location-based social networks such as Weibo and Twitter, there are many records of points of interest (POIs) showing when and where people have visited certain locations. From these records, next POI recommendation suggests the ne... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Shaswot Shresthamali, Masaaki Kondo and Hiroshi Nakamura    
IoT embedded systems have multiple objectives that need to be maximized simultaneously. These objectives conflict with each other due to limited resources and tradeoffs that need to be made. This requires multi-objective optimization (MOO) and multiple P... ver más
Revista: Journal of Low Power Electronics and Applications    Formato: Electrónico

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