11   Artículos

 
en línea
Xiaoyong Zhang, Wei Yue and Wenbin Tang    
To enhance the anti-submarine and search capabilities of multiple Unmanned Aerial Vehicle (UAV) groups in complex marine environments, this paper proposes a flexible action-evaluation algorithm known as Knowledge-Driven Soft Actor-Critic (KD-SAC), which ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Faheem Ahmed Malik, Laurent Dala, Muhammad Khalid and Krishna Busawon    
This paper develops an intelligent real-time learning framework for the last-mile delivery of mobility as a service in city planning, based upon safe infrastructure use. Through a hybrid approach integrating statistics and supervised machine learning tec... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Unai Elordi, Chiara Lunerti, Luis Unzueta, Jon Goenetxea, Nerea Aranjuelo, Alvaro Bertelsen and Ignacio Arganda-Carreras    
In this paper, we tackle the problem of deploying face recognition (FR) solutions in heterogeneous Internet of Things (IoT) platforms. The main challenges are the optimal deployment of deep neural networks (DNNs) in the high variety of IoT devices (e.g.,... ver más
Revista: Information    Formato: Electrónico

 
en línea
Sharif Noor Zisad, Etu Chowdhury, Mohammad Shahadat Hossain, Raihan Ul Islam and Karl Andersson    
Visual sentiment analysis has become more popular than textual ones in various domains for decision-making purposes. On account of this, we develop a visual sentiment analysis system, which can classify image expression. The system classifies images by t... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Daniela Stroppiana, Gloria Bordogna, Matteo Sali, Mirco Boschetti, Giovanna Sona and Pietro Alessandro Brivio    
The paper proposes a fully automatic algorithm approach to map burned areas from remote sensing characterized by human interpretable mapping criteria and explainable results. This approach is partially knowledge-driven and partially data-driven. It explo... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Amin Beheshti, Shahpar Yakhchi, Salman Mousaeirad, Seyed Mohssen Ghafari, Srinivasa Reddy Goluguri and Mohammad Amin Edrisi    
Intelligence is the ability to learn from experience and use domain experts? knowledge to adapt to new situations. In this context, an intelligent Recommender System should be able to learn from domain experts? knowledge and experience, as it is vital to... ver más
Revista: Algorithms    Formato: Electrónico

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