119   Artículos

 
en línea
Yoga Sasmita, Heri Kuswanto and Dedy Dwi Prastyo    
Standard time-series modeling requires the stability of model parameters over time. The instability of model parameters is often caused by structural breaks, leading to the formation of nonlinear models. A state-dependent model (SDM) is a more general an... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Javier Chico-Fernández and Esperanza Ayuga-Téllez    
Allergic pathologies of aerobiological origin, specifically those caused by exposure to pollen allergens, have shown a growing trend in recent decades worldwide. This trend is most evident in urban areas experiencing an incessant expansion of their terri... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Beata Baziak, Marek Bodziony and Robert Szczepanek    
Machine learning models facilitate the search for non-linear relationships when modeling hydrological processes, but they are equally effective for automation at the data preparation stage. The tasks for which automation was analyzed consisted of estimat... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Hongyan Zhu, Bingyan Zheng, Weizheng Zhong, Jinbo Xu, Weibo Nie, Yan Sun and Zilong Guan    
Salt and nutrient transport and transformations during water infiltration directly influence saline soil improvement and the efficient use of water and fertilizer resources. The effects of soil initial salinity (18.3 g/kg, 25.5 g/kg, 42.2 g/kg, 79.94 g/k... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Filippo Catalano, Moises Diaz, Roberto Romaniello, Gianfranco Semeraro and Giuseppe Pirlo    
The problem of simulating complex systems, such as production lines, industrial plants, food processing, etc., today represents an opportunity that brings with it the great advantage of limiting design costs. However, nowadays the designer, after definin... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Ould el Moctar, Thomas E. Schellin and Angelo Ciaramella    
Two methods were compared to predict a ship?s fuel consumption: the simplified naval architecture method (SNAM) and the deep neural network (DNN) method. The SNAM relied on limited operational data and employed a simplified technique to estimate a ship?s... ver más
Revista: Journal of Marine Science and Engineering    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
Xin Tong, Bo Jin, Jingya Wang, Ying Yang, Qiwei Suo and Yong Wu    
In recent years, the number of malicious web pages has increased dramatically, posing a great challenge to network security. While current machine learning-based detection methods have emerged as a promising alternative to traditional detection technique... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Radoslaw Drozdziol and Damian Absalon    
The paper compares precipitation measurements from the Stratus manual rain gauge from the CoCoRaHS network and two Davis Vantage Vue and Davis Vantage Pro 2A rain gauges with the Hellmann rain gauge. Comparative measurements were made on a specially prep... ver más
Revista: Climate    Formato: Electrónico

 
en línea
Juan Ochoa-Aldeán and Carlos Silva-Cárdenas    
Wireless mesh networks (WMNs) offer a pragmatic solution with a cost-effective ratio when provisioning ubiquitous broadband internet access and diverse telecommunication systems. The conceptual underpinning of mesh networks finds application not only in ... ver más
Revista: Computers    Formato: Electrónico

« Anterior     Página: 1 de 7     Siguiente »