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A Model for the Estimation of Yield and Investigation on Factors Affecting Irrigated Wheat Production in Various Tillage Methods (Using Artificial Neural Networks)
Three Dimensional Near-Field Microwave Imaging Using Hybrid Linear Sampling and Level Set Methods in a Medium with Compact Support
Synergistic Contribution of Spinneret Diameter and Physical Gelation To Develop Macrovoid-Free Hollow Fiber Membranes Using Single Orifice Spinneret
Synergistic Contribution of Spinneret Diameter and Physical Gelation To Develop Macrovoid-Free Hollow Fiber Membranes Using Single Orifice Spinneret
Effect of groove characteristics on CFRP-to-concrete bond behavior of EBROG joints Experimental study using particle image velocimetry (PIV)
Numerical study of convective heat transfer and fluid flow around two side by side square cylinders using turbulence model
Free transverse vibration analysis of circular and annular graphene sheets with various boundary conditions using the nonlocal continuum plate model
High performance dehydration of ethyl acetate/water mixture by pervaporation using NaA zeolite membrane synthesized by vacuum seeding method
High performance dehydration of ethyl acetate/water mixture by pervaporation using NaA zeolite membrane synthesized by vacuum seeding method
Numerical simulation of fluid flow and forced convection heat transfer from tandem circular cylinders using overset grid method
Mapping Environmental Conditions in the St. Lawrence River onto Ice Parameters using Artificial Neural Networks to Predict Ice Jams
The effect of colchicine on triticale anther-derived plants Microspore pre-treatment and haploid-plant treatment using a hydroponic recovery system
Highly Selective Flow-Injection Spectrophotometric Determination of Ascorbic Acid in Fruit Juices and Pharmaceuticals Using Pyrogallol Red-Iodate System
Highly Selective Flow-Injection Spectrophotometric Determination of Ascorbic Acid in Fruit Juices and Pharmaceuticals Using Pyrogallol Red-Iodate System
Prediction of solubility for polycyclic aromatic hydrocarbons in supercritical carbon dioxide using wavelet neural networks in quantitative structure property relationship