91   Artículos

 
en línea
Yunfei Yu, Linghua Meng, Chong Luo, Beisong Qi, Xinle Zhang and Huanjun Liu    
In Northeast China, transplanted rice cultivation has been adopted to extend the rice growing season and boost yields, responding to the limitations of the cumulative temperature zone and high food demand. However, direct-seeded rice offers advantages in... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Oksana Kharchenko, Zlatinka Kovacheva and Velin Andonov    
Ensuring noise immunity is one of the main tasks of radio engineering and telecommunication. The main task of signal receiving comes down to the best recovery of useful information from a signal that is destructed during propagation and received together... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chenglin Yang, Dongliang Xu and Xiao Ma    
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Tongjing Sun, Yabin Wen, Xuegang Zhang, Bing Jia and Mengwei Zhou    
Ocean reverberations, a significant interference source in active sonar, arise as a response generated by random scattering at the receiving end, a consequence of randomly distributed clutter or irregular interfaces. Statistical analysis of reverberation... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Luca Scrucca    
Gaussian mixture modeling is a generative probabilistic model that assumes that the observed data are generated from a mixture of multiple Gaussian distributions. This mixture model provides a flexible approach to model complex distributions that may not... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jiahui Qian, Wenjun Xia, Zhangyan Zhao and Faju Qiu    
Due to uncontrollable influences of the manufacturing process and different construction environments, there are significant challenges to extracting accurate positioning points for the lifting holes in prefabricated beams. In this study, we propose a tw... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Joseph Ndong and Ted Soubdhan    
Building a sophisticated forecasting framework for solar and photovoltaic power production in geographic zones with severe meteorological conditions is very challenging. This difficulty is linked to the high variability of the global solar radiation on w... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Achintya Kumar Sarkar and Zheng-Hua Tan    
Deep representation learning has gained significant momentum in advancing text-dependent speaker verification (TD-SV) systems. When designing deep neural networks (DNN) for extracting bottleneck (BN) features, the key considerations include training targ... ver más
Revista: Acoustics    Formato: Electrónico

 
en línea
Peng Lyu, Jeongik Min and Juwhan Song    
A non-invasive automatic broiler weight estimation and prediction method based on a machine learning algorithm was developed to address the issue of high labor costs and stress responses caused by the traditional broiler weighing method in large-scale br... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Saharsh Barve, Jody M. Webster and Rohitash Chandra    
Environmental damage has been of much concern, particularly in coastal areas and the oceans, given climate change and the drastic effects of pollution and extreme climate events. Our present-day analytical capabilities, along with advancements in informa... ver más
Revista: Information    Formato: Electrónico

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