118   Artículos

 
en línea
Juan Ma, Qiang Yang, Mingzhi Zhang, Yao Chen, Wenyi Zhao, Chengyu Ouyang and Dongping Ming    
Accurately predicting landslide deformation based on monitoring data is key to successful early warning of landslide disasters. Landslide displacement?time curves offer an intuitive reflection of the landslide motion process and deformation predictions o... ver más
Revista: Water    Formato: Electrónico

 
en línea
Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun    
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Jingjing Zhang, Yanlong Liu and Weidong Zhou    
Adaptive sampling of the marine environment may improve the accuracy of marine numerical prediction models. This study considered adaptive sampling path optimization for a three-dimensional (3D) marine observation platform, leading to a path-planning str... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Valeria Mercuri, Martina Saletta and Claudio Ferretti    
As the prevalence and sophistication of cyber threats continue to increase, the development of robust vulnerability detection techniques becomes paramount in ensuring the security of computer systems. Neural models have demonstrated significant potential... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Francisco J. Soltero, Pablo Fernández-Blanco and J. Ignacio Hidalgo    
Technical indicators use graphic representations of datasets by applying various mathematical formulas to financial time series of prices. These formulas comprise a set of rules and parameters whose values are not necessarily known and depend on many fac... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaoyu Han, Chenyu Li, Zifan Wang and Guohua Liu    
Neural architecture search (NAS) has shown great potential in discovering powerful and flexible network models, becoming an important branch of automatic machine learning (AutoML). Although search methods based on reinforcement learning and evolutionary ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jayashree Piri, Puspanjali Mohapatra, Raghunath Dey, Biswaranjan Acharya, Vassilis C. Gerogiannis and Andreas Kanavos    
The efficiency and the effectiveness of a machine learning (ML) model are greatly influenced by feature selection (FS), a crucial preprocessing step in machine learning that seeks out the ideal set of characteristics with the maximum accuracy possible. D... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Cihan Ates, Dogan Bicat, Radoslav Yankov, Joel Arweiler, Rainer Koch and Hans-Jörg Bauer    
In this study, we propose a population-based, data-driven intelligent controller that leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of control laws is generated using genetic programming with the digital tw... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Tatiana Lazovskaya, Dmitriy Tarkhov, Maria Chistyakova, Egor Razumov, Anna Sergeeva and Tatiana Shemyakina    
The article presents the development of new physics-informed evolutionary neural network learning algorithms. These algorithms aim to address the challenges of ill-posed problems by constructing a population close to the Pareto front. The study focuses o... ver más
Revista: Computation    Formato: Electrónico

 
en línea
Arturo Benjamín Hurtado-Pérez, Abraham de Jesús Pablo-Sotelo, Fabián Ramírez-López, Jorge Javier Hernández-Gómez and Miguel Felix Mata-Rivera    
Launching satellites into the Earth?s orbit is a critical area of research, and very demanding satellite services increase exponentially as modern society takes shape. At the same time, the costs of developing and launching satellite missions with shorte... ver más
Revista: Aerospace    Formato: Electrónico

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