13   Artículos

 
en línea
Gennaro Salvatore Ponticelli, Marianna Gallo, Ilaria Cacciotti, Oliviero Giannini, Stefano Guarino, Andrea Budelli and Roberto Nigro    
Modelling and predicting of the kinetics of microbial growth and metabolite production during the fermentation process for functional probiotics foods development play a key role in advancing and making such biotechnological processes suitable for large-... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Joseph Isabona, Agbotiname Lucky Imoize, Stephen Ojo, Olukayode Karunwi, Yongsung Kim, Cheng-Chi Lee and Chun-Ta Li    
Modern cellular communication networks are already being perturbed by large and steadily increasing mobile subscribers in high demand for better service quality. To constantly and reliably deploy and optimally manage such mobile cellular networks, the ra... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jae Yun Lee, Young Geun Yoon, Tae Keun Oh, Seunghee Park and Sang Il Ryu    
In the construction industry, it is difficult to predict occupational accidents because various accident characteristics arise simultaneously and organically in different types of work. Furthermore, even when analyzing occupational accident data, it is d... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Duy Tan Pham, Long Ho, Juan Espinoza-Palacios, Maria Arevalo-Durazno, Wout Van Echelpoel and Peter Goethals    
Due to simplicity and low costs, waste stabilisation ponds (WSPs) have become one of the most popular biological wastewater treatment systems that are applied in many places around the globe. Increasingly, pond modelling has become an interesting tool to... ver más
Revista: Water    Formato: Electrónico

 
en línea
Dieu Tien Bui, Hossein Moayedi, Mesut Gör, Abolfazl Jaafari and Loke Kok Foong    
In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression (GPR), multiple linear regression (... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Eleni Savvidou, Andreas Efstratiadis, Antonis D. Koussis, Antonis Koukouvinos and Dimitrios Skarlatos    
In this paper, a new methodology for delineating Hydrological Response Units (HRUs), based on the Curve Number (CN) concept, is presented. Initially, a semi-automatic procedure in a GIS environment is used to produce basin maps of distributed CN values a... ver más
Revista: Water    Formato: Electrónico

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