Fluid Mechanics: Open Access

School of Surveying Geospatial Engineering, Department of Surveying and Geomatics Engineering, Iran

Publications

• Editorial   
  Prediction of Environmental Indicators in Land Leveling Using Artificial Intelligence Techniques
  Author(s): Isham Alzoub*
  
  Land leveling is one of the most important steps in soil preparation and cultivation. Although land leveling with machines require considerable amount of energy, it delivers a suitable surface slope with minimal deterioration of the soil and damage to plants and other organisms in the soil. Notwithstanding, researchers during recent years have tried to reduce fossil fuel consumption and its deleterious side effects using new techniques such as; Artificial Neural Network (ANN), Imperialist Competitive Algorithm –ANN (ICA-ANN), and regression and Adaptive Neuro-Fuzzy Inference System (ANFIS) and Sensitivity Analysis that will lead to a noticeable improvement in the environment. In this research effects of various soil properties such as Embankment Volume, Soil Compressibility Factor, Specific Gravity, Moisture Content, Slope, Sand Percent, and Soil Swelling Indexing energy consump.. Read More»
  DOI: 10.37421/2476-2296.2021.8.e101

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