7   Artículos

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en línea
Xianfeng Gao, Yu-an Tan, Hongwei Jiang, Quanxin Zhang and Xiaohui Kuang    
These years, Deep Neural Networks (DNNs) have shown unprecedented performance in many areas. However, some recent studies revealed their vulnerability to small perturbations added on source inputs. Furthermore, we call the ways to generate these perturba... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nunu M. Firdaus     Pág. 19 - 24
PKBM is an institution engaged in education and is formed by the community for people. PKBM is still under the supervision and guidance of the National Education Office. PKBM can be either in village or sub-district level. However, the establishment of t... ver más
Revista: Empowerment    Formato: Electrónico

 
en línea
Martha A. Zaidan, Lubna Dada, Mansour A. Alghamdi, Hisham Al-Jeelani, Heikki Lihavainen, Antti Hyvärinen and Tareq Hussein    
An air pollutant proxy is a mathematical model that estimates an unobserved air pollutant using other measured variables. The proxy is advantageous to fill missing data in a research campaign or to substitute a real measurement for minimising the cost as... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Abdelhafid El Alaoui El Fels, Laila Mandi, Aya Kammoun, Naaila Ouazzani, Olivier Monga and Moulay Lhassan Hbid    
The concept of using wastewater as a substitute for limited water resources and environmental protection has enabled this sector to make major technological advancements and, as a result, has given us an abundance of physical data, including chemical, bi... ver más
Revista: Water    Formato: Electrónico

 
en línea
Ziwei Zhang    
Concrete is a highly regarded construction material due to many advantages such as versatility, durability, fire resistance, and strength. Hence, having a prediction of the compressive strength of concrete (CSC) can be highly beneficial. The new generati... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Jiyue Wang, Pei Zhang, Qianhua He, Yanxiong Li and Yongjian Hu    
Label Smoothing Regularization (LSR) is a widely used tool to generalize classification models by replacing the one-hot ground truth with smoothed labels. Recent research on LSR has increasingly focused on the correlation between the LSR and Knowledge Di... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Carlos Duran-Hernandez, Rene Ledesma-Alonso and Gibran Etcheverry    
The content of this paper shows the first outcomes of a supplementary method to simulate the behavior of a simple design formed by two rectangular leaflets under a pulsatile flow condition. These problems are commonly handled by using Fluid-Structure Int... ver más
Revista: Applied Sciences    Formato: Electrónico

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