16 Result(s)
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Chapter and Conference Paper
Object Detection Through Computer Vision
This research work is focused on the field of object detection through computer vision, focusing on a very popular topic nowadays, smart cities. Therefore, a proposal is presented, after evaluating the differe...
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Chapter and Conference Paper
Use of YOLOv4 and Yolov4Tiny for Intelligent Vehicle Detection in Smart City Environments
One of the biggest problems in cities today is the significant increase in the number of motor vehicles. Intelligent traffic control is a fundamental part of controlling city travel. To achieve this goal, it i...
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Chapter and Conference Paper
Van Trip Design System Based on Route Optimisation and an Innovative Cold-Start Solution for POI Recommender Systems
The pandemic caused by COVID-19 in 2020 has drastically changed people’s lifestyles and habits, especially in the area of tourism. This situation led people to consider a new way of travelling, one that focuse...
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Chapter and Conference Paper
Estimating Time Lost on Semaphores with Deep Learning
Traffic flow congestion is a very present problem on the daily life of citizens of big cities. Furthermore, it is growing by the day because of the increase of population. Furthermore, it has undesirable conse...
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Chapter and Conference Paper
Group Recommender Systems in the Music Domain: A Systematic Literature Review
Nowadays music for groups is consumed in both virtual and physical environments. Recommender systems focused on this domain have mostly focused on individual recommendation, although there are also approaches ...
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Chapter and Conference Paper
Song Recommender System Based on Emotional Aspects and Social Relations
Music streaming services have opened the possibility of accessing huge quantities of songs and more sophisticated data can be utilized by recommender systems to improve their performance. Some recommendation m...
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Chapter and Conference Paper
Context-Aware Music Recommender System Based on Automatic Detection of the User’s Physical Activity
The large amount of music that can be accessed in streaming nowadays has led to the development of more reliable music recommendation systems. To this end, context-aware music recommendation systems, capable o...
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Chapter and Conference Paper
Social Influence-Based Similarity Measures for User-User Collaborative Filtering Applied to Music Recommendation
Social characteristics present in current music streaming services allow to use methods for endowing these systems with more reliable recommendation functionalities. There are many proposals in the literature ...
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Chapter and Conference Paper
Moodsically. Personal Music Management Tool with Automatic Classification of Emotions
It is a fact that music is directly linked to emotions. Various researches study the link between musical characteristics and the feeling produced or even induced. This work shows a web tool that allows the a...
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Chapter and Conference Paper
Recommendation of Songs in Music Streaming Services: Dealing with Sparsity and Gray Sheep Problems
The interest for providing users with suitable recommendations of songs and playlists has increased since online services for listening to music have become popular. Many methods for achieving this objective h...
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Chapter and Conference Paper
Random Forest Based Ensemble Classifiers for Predicting Healthcare-Associated Infections in Intensive Care Units
Surveillance and prevention of infections acquired in the hospital environment is an important challenge in the current health systems given the great impact of these kind of infections on patient mortality as...
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Chapter and Conference Paper
RESTful Triple Space Management of Cloud Architectures
In this paper we present a job coordination service for distributed applications being executed in a Hadoop cluster based on the use of a RDF backed triple space and a RESTful web services interface. The syste...
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Chapter
Metadata Architecture in RESTful Design
Metadata is a key component of the REST architecture that can be used to provide additional information about web resources. The ultimate goal of metadata is to transform web resources into self describing inf...
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Chapter and Conference Paper
Applying Recommender Methodologies in Tourism Sector
Nowadays, there is a constant need for personalization in recommender systems. Thus, they try to bring it by making suggestion and providing information about items available. There are numerous options of met...
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Chapter and Conference Paper
Distributed Computing Using RESTful Semantic Web Services
In this article RESTful semantic web services, a lightweight alternative for the description of semantic web services, are introduced. The conceptual model for this kind of semantic services is reviewed, showing ...
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Chapter and Conference Paper
Semantic Based Web Mining for Recommender Systems
Availability of efficient mechanisms for selective and personalized recovery of information is nowadays one of the main demands of Web users. In the last years some systems endowed with intelligent mechanisms ...
