12   Artículos

 
en línea
Qianyang Li and Xingjun Zhang    
For time series forecasting, multivariate grey models are excellent at handling incomplete or vague information. The GM(1, N) model represents this group of models and has been widely used in various fields. However, constructing a meaningful GM(1, N) mo... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shubin Wang, Yuanyuan Chen and Zhang Yi    
Diabetic retinopathy is a prevalent eye disease that poses a potential risk of blindness. Nevertheless, due to the small size of diabetic retinopathy lesions and the high interclass similarity in terms of location, color, and shape among different lesion... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Gerasim V. Krivovichev and Valentina Yu. Sergeeva    
The paper is devoted to the theoretical and numerical analysis of the two-step method, constructed as a modification of Polyak?s heavy ball method with the inclusion of an additional momentum parameter. For the quadratic case, the convergence conditions ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Songtao Huang, Jun Shen, Qingquan Lv, Qingguo Zhou and Binbin Yong    
Electricity load forecasting has seen increasing importance recently, especially with the effectiveness of deep learning methods growing. Improving the accuracy of electricity load forecasting is vital for public resources management departments. Traditi... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Chao-Chung Peng and Yi-Ho Chen    
Digital twins can reflect the dynamical behavior of the identified system, enabling self-diagnosis and prediction in the digital world to optimize the intelligent manufacturing process. One of the key benefits of digital twins is the ability to provide r... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Binghang Lu, Christian Moya and Guang Lin    
This paper presents NSGA-PINN, a multi-objective optimization framework for the effective training of physics-informed neural networks (PINNs). The proposed framework uses the non-dominated sorting genetic algorithm (NSGA-II) to enable traditional stocha... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Fabio Carrara, Roberto Caldelli, Fabrizio Falchi and Giuseppe Amato    
The adoption of deep learning-based solutions practically pervades all the diverse areas of our everyday life, showing improved performances with respect to other classical systems. Since many applications deal with sensible data and procedures, a strong... ver más
Revista: Information    Formato: Electrónico

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