6.436   Artículos

 
en línea
Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib    
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow... ver más
Revista: Water    Formato: Electrónico

 
en línea
Zhenzhen Di, Miao Chang, Peikun Guo, Yang Li and Yin Chang    
Most worldwide industrial wastewater, including in China, is still directly discharged to aquatic environments without adequate treatment. Because of a lack of data and few methods, the relationships between pollutants discharged in wastewater and those ... ver más
Revista: Water    Formato: Electrónico

 
en línea
M.H.J.P. Gunarathna, Kazuhito Sakai, Tamotsu Nakandakari, Kazuro Momii and M.K.N. Kumari    
Poor data availability on soil hydraulic properties in tropical regions hampers many studies, including crop and environmental modeling. The high cost and effort of measurement and the increasing demand for such data have driven researchers to search for... ver más
Revista: Water    Formato: Electrónico

 
en línea
CUYA Thamar M.,DAYRIT Amayna Shaene C.,CUYA-ANTONIO Olive Chester,PASCUAL Marilou P.,FRONDA Jennifer G.     Pág. 113 - 120
Graduate education plays a significant role in the development and the economy of the nation. Therefore, it is significant to evaluate the program it offers as they provide relevant contributions to their graduates? knowledge, skills, and ability in the ... ver más
Revista: IRA-International Journal of Management & Social Sciences    Formato: Electrónico

 
en línea
Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li    
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C... ver más
Revista: Water    Formato: Electrónico

 
en línea
Triyana Muliawati, Dewi Suhika     Pág. 40 - 46
The development of student character starts from education process in campus life and residence. The environment is less comfortable and effective in the learning process will affect student achievement. To overcome this, the Institute of Technology of S... ver más
Revista: Journal of Science and Applicative Technology    Formato: Electrónico

 
en línea
Veljko Marinkovic, Darko Dimitrovski, Vladimir Senic    
Research question: The aim of the paper is to identify the statistically significant drivers for gold panning revisit intention at the River Pek in Serbia as one of the key factors in determining a positive effect on the destination?s economic sustainabi... ver más
Revista: Management    Formato: Electrónico

 
en línea
Juan Murillo-Morera, Carlos Castro-Herrera, Javier Arroyo, Ruben Fuentes-Fernandez     Pág. 114 - 137
Today, it is common for software projects to collect measurement data through development processes. With these data, defect prediction software can try to estimate the defect proneness of a software module, with the objective of assisting and guiding so... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Jose M. Bernal-de-Lázaro     Pág. 74 - 81
This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis syste... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Hugo López-Fernández     Pág. 22 - 25
Mass spectrometry using matrix assisted laser desorption ionization coupled to time of flight analyzers (MALDI-TOF MS) has become popular during the last decade due to its high speed, sensitivity and robustness for detecting proteins and peptides. This a... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

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