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Antibacterial metabolites production by Lactobacillus plantarum PTCC 1896 in fermented whey and optimization of fermentation conditions for maximum production using RSM
Auto-landing algorithm for quadrotor UAV using super-twisting second-order sliding mode control in the presence of external disturbances
Biomonitoring, simulation, and evaluation of anthropogenic pollution in Disam River, Iran: use of macroinvertebrate-based biotic indices and Qual2kw model
Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method
Fault Detection in a Single-Bus DC Microgrid Connected to EV/PV Systems and Hybrid Energy Storage Using the DMD-IF Method
Fabric colour measurement in the small region of CIELab colour space using a scanner-based subtractive clustering fuzzy inference system
Desalination of Caspian Sea water by using graphene oxide-based covalent organic frameworks and HDTMA-modified Iranian natural Zeolite
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Numerical study of bacteria removal from microalgae solution using an asymmetric contraction-expansion microfluidic device: A parametric analysis approach
Elicitation of medicinally-valuable secondary metabolites, enzymatic, and antioxidant activity using chitin and yeast extract in callus cultures of Ammi visnaga L.
A high-performance single-electrode triboelectric nanogenerator based on polydimethylsiloxane surface modified using zinc oxide nanotubes: Fabrication and simulation
A high-performance single-electrode triboelectric nanogenerator based on polydimethylsiloxane surface modified using zinc oxide nanotubes: Fabrication and simulation
A New Approach for Predicting the Pressure Drop in Various Types of Metal Foams Using a Combination of CFD and Machine Learning Regression Models