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Tuber yield irrigation water use efficiency and starch content of two potato varieties as affected by drip tape and solid set irrigation systems
Prevent of Wrinkling and Rupturing by Using a New Method based on Closed-loop Control of Blank Holder Force in Hydro-Mechanical Deep Drawing Process
Prevent of Wrinkling and Rupturing by Using a New Method based on Closed-loop Control of Blank Holder Force in Hydro-Mechanical Deep Drawing Process
Buckling of thin composite plates reinforced with randomly oriented straight single-walled carbon nanotubes using B3-spline finite strip method
Efficient conversion of various biomass-derived feedstocks into γ-valerolactone over a composite Au NP/KIT-6 catalyst using formic acid as the hydrogen carrier
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
The hidden threat of heavy metal leaching in urban runoff: Investigating the long-term consequences of land use changes on human health risk exposure
Strengthening of Two-Way RC Flat Slabs for Punching Shear Using Steel Dowels and CFRP Sheet with EBROG and EBRIG Methods: An Experimental Study
Novel Cement-Free UHPC with High Gamma-Ray Resistance Using Calcium Oxide-Activated Slag, Iron and Barite Powders, and Steel Fibers
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Trace analysis of basic drugs in micro-volume human plasma samples using a simple device combined with a gas chromatography-flame ionization detector
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Soil erosion estimating and hazard mapping using SWAT and RUSLE models in a semiarid-arid region, Zayandeh-Rood Dam Watershed, Central Iran
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
Improving prediction accuracy of CSM-CERES-Wheat model for water and nitrogen response using a modified Penman-Monteith equation in a semi-arid region