373   Artículos

 
en línea
Ioana Branescu, Octavian Grigorescu and Mihai Dascalu    
Effectively understanding and categorizing vulnerabilities is vital in the ever-evolving cybersecurity landscape, since only one exposure can have a devastating effect on the entire system. Given the increasingly massive number of threats and the size of... ver más
Revista: Information    Formato: Electrónico

 
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
Haoyu Lin, Pengkun Quan, Zhuo Liang, Dongbo Wei and Shichun Di    
In the context of automatic charging for electric vehicles, collision localization for the end-effector of robots not only serves as a crucial visual complement but also provides essential foundations for subsequent response design. In this scenario, dat... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jin-Woo Kong, Byoung-Doo Oh, Chulho Kim and Yu-Seop Kim    
Intracerebral hemorrhage (ICH) is a severe cerebrovascular disorder that poses a life-threatening risk, necessitating swift diagnosis and treatment. While CT scans are the most effective diagnostic tool for detecting cerebral hemorrhage, their interpreta... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Roque Calvo and Ana Arteaga    
Heterogeneous systems of limited capacity have general applications in manufacturing, but also in logistic or service systems due to the differences in server or workstation performance or work assignment; this is in close relationship with system flexib... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang    
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Xuyuan Zhang, Yingqing Guo, Haoran Luo, Tao Liu and Yijun Bao    
The rapid identification of the amount and characteristics of chemical oxygen demand (COD) in influent water is critical to the operation of wastewater treatment plants (WWTPs), especially for WWTPs in the face of influent water with a low carbon/nitroge... ver más
Revista: Water    Formato: Electrónico

 
en línea
Shweta More, Moad Idrissi, Haitham Mahmoud and A. Taufiq Asyhari    
The rapid proliferation of new technologies such as Internet of Things (IoT), cloud computing, virtualization, and smart devices has led to a massive annual production of over 400 zettabytes of network traffic data. As a result, it is crucial for compani... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Mihai Crengani?, Radu-Eugen Breaz, Sever-Gabriel Racz, Claudia-Emilia Gîrjob, Cristina-Maria Biri?, Adrian Maro?an and Alexandru Bârsan    
This scientific paper presents the development and validation process of a dynamic model in Simulink used for decision-making regarding the locomotion and driving type of autonomous omnidirectional mobile platforms. Unlike traditional approaches relying ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Pablo Brusola, Sergio Garcia-Nieto, Jose Vicente Salcedo, Miguel Martinez and Robert H. Bishop    
This paper presents a mathematical modeling approach utilizing a fuzzy modeling framework for fixed-wing aircraft systems with the goal of creating a highly desirable mathematical representation for model-based control design applications. The starting p... ver más
Revista: Aerospace    Formato: Electrónico

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