ARTÍCULO
TITULO

Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters

Majid Nazeer    
Muhammad Bilal    
Mohammad M. M. Alsahli    
Muhammad Imran Shahzad and Ahmad Waqas    

Resumen

No disponible

 Artículos similares

       
 
Dina P. A. Hidayat, Sri Legowo W. Darsono and Mohammad Farid    
This study aims to evaluate the accuracy of semi-empirical models for determining infiltration based on the existing equations (Horton, Kostiakov and Kostiakov?Lewis) and a new form equation with optimized parameters which has good accuracy (lowest RMSE ... ver más
Revista: Water

 
Tihomir Orehovacki, Luka Bla?kovic and Matej Kurevija    
Mobile banking is nowadays a standard service provided by banks worldwide because it adds convenience for people. There is no more rushing to a bank or waiting in lines for a simple transaction that can be conducted from anywhere and at any time in the b... ver más
Revista: Future Internet

 
Florin Pavel and Robert Vladut    
This paper is focused on the evaluation of the liquefaction hazard for different sites in Romania. To this aim, a database of 139 ground motions recorded during Vrancea intermediate-depth earthquakes having moment magnitudes MW = 6.0 is employed for the ... ver más
Revista: Infrastructures

 
Chao Fan, Xiang Que, Zhe Wang and Xiaogang Ma    
The urban heat island (UHI) effect is an important topic for many cities across the globe. Previous studies, however, have mostly focused on UHI changes along either the spatial or temporal dimension. A simultaneous evaluation of the spatial and temporal... ver más

 
Mahmoud Abdel-Sattar, Rashid S. Al-Obeed, Saad A. Al-Hamed and Abdulwahed M. Aboukarima    
The evaluation and modeling of the water infiltration rate into the soil are important to all aspects of water resources management and the design of irrigation systems for agricultural purposes. However, research focused on experimental studies of infil... ver más
Revista: Water