Uniaxial compressive strength (UCS) is a significant parameter in mining engineering and rock engineering. The laboratory test time-consuming economically costly. Therefore, developing reliable accurate UCS prediction model through easily obtained parameters good way. In this paper, we set five input compare six hybrid models based on BP neural network swarm intelligence optimization algorithms...

Abstract Air pollution is currently becoming a significant global environmental issue. The sources of air in Malaysia are mobile or stationary. Motor vehicles one the sources. Stationary originated from emissions caused by urban development, quarrying and power plants petrochemical. most noticeable contaminant Peninsular particulate matter (PM 10 ), highest contributor Pollution Index (API) com...

Abstract Wall thickness loss in water pipes has been found to be positively correlated with pipe failure. The reliability of reduces as their wall increases. Although previous studies have investigated failure modeling using historical data, however, indirect via is yet explored. Hence, this study develops machine learning (ML) models predict pipes. Random Forest (RF) and Gradient Boosting Mach...

Based on surface energy balance and the assumption of fairly invariant evaporative fraction (EF) during daytime, this study proposes a new parameterization scheme of directly estimating daily EF. Daily EF is parameterized as a function of temporal variations in surface temperature, air temperature, and net radiation. The proposed EF parameterization scheme can well reproduce daily EF estimates ...

Several ANN models were developed to prediction of monthly precipitation data in Mashhad synoptic station. From the total 636 monthly precipitation data (from 1958 to 2008), 580 data has been used for training networks and the rest selected randomly has been used for validation of the models. To extract the precipitation dynamic of this station by ANN, a new approach of three-layer feed-forward...

description of lactation curve were investigated using sine function, compare it with two functions (dijekstra and wood). the data contained 32233 dairy milk yield records from 93 first parity iranian holstein cows that had calving between aug. 2008 and jul. 2009. actual milk production per day and subsequently the actual production of each animal were available in the first lactation. lactatio...

Plant phenology models, especially leafing models, play critical roles in evaluating the impact of climate change on the primary production of temperate plants. Existing models based on temperature alone could not accurately simulate plant leafing in arid and semi-arid regions. The objective of the present study was to test the suitability of the existing temperature-based leafing models in ari...

Harmonic generation in power system networks presents significant issues that arise utilities. This paper describes a machine learning technique was used to conduct research study on the harmonic analysis of railway stations. The an investigation time series whose values represented total distortion (THD) for electric current. based information collected at station. In electrified substation, m...

This paper proposes a simple method of optimizing Air Quality Monitoring Network (AQMN) using Geographical Information System (GIS), interpolation techniques and historical data. Existing air quality stations are systematically eliminated and the missing data are filled in using the most appropriate interpolation technique. The interpolated data are then compared with the observed data. Pre-def...