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A hybrid GIS-OWA and DANP method for the identification and evaluation of ecotourism attractions: the case study of Abbas Abad Wildlife Refuge, Iran
A hybrid GIS-OWA and DANP method for the identification and evaluation of ecotourism attractions: the case study of Abbas Abad Wildlife Refuge, Iran
A hybrid GIS-OWA and DANP method for the identification and evaluation of ecotourism attractions: the case study of Abbas Abad Wildlife Refuge, Iran
Hybrid micro-composite sheets of Polylactic Acid (PLA)/Carbon Black (CB)/natural kenaf fiber processed by calendering method
Combining game theory and evolutionary algorithms for optimizing hybrid RDWC-pervaporation-vapor permeation process equipped with solar heating system
Stability analysis of real-time hybrid simulation in consideration of time delays of actuator and shake table using delay differential equations
Green and eco-friendly route for the synthesis of Ag@Vitamin B9-LDH hybrid and its chitosan nanocomposites: Characterization and antibacterial activity
A hybrid egalitarian bargaining game-DEA and sustainable network design approach for evaluating, selecting and scheduling urban road construction projects
A hybrid egalitarian bargaining game-DEA and sustainable network design approach for evaluating, selecting and scheduling urban road construction projects
An experimental study on mechanical properties of a novel hybrid metal polymer joining technology based on a reaction between isocyanate and hydroxyl groups
An experimental study on mechanical properties of a novel hybrid metal polymer joining technology based on a reaction between isocyanate and hydroxyl groups
An experimental study on mechanical properties of a novel hybrid metal polymer joining technology based on a reaction between isocyanate and hydroxyl groups
New candidates for the global minimum of medium-sized silicon clusters: A hybrid DFTB/DFT genetic algorithm applied to Si n , n = 8-80
Forecasting ground vibration due to rock blasting a hybrid intelligent approach using support vector regression and fuzzy C-means clustering
Forecasting ground vibration due to rock blasting a hybrid intelligent approach using support vector regression and fuzzy C-means clustering