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An integrated model of network Data Envelopment Analysis and principal component analysis approach to calculate the efficiency of industrial units (A Case study of the Stone Industry)
An integrated model of network Data Envelopment Analysis and principal component analysis approach to calculate the efficiency of industrial units (A Case study of the Stone Industry)
Prediction and optimization of steroid hormone removal parameters from municipal wastewater by ultrasound probe using artificial neural network and genetic algorithm: a review
An Integrated Game Theoretic Model and Network Data Envelopment Analysis to Determine Optimal Export Allocation to Industrial Units (A Case study of the Stone Industry)
An Integrated Game Theoretic Model and Network Data Envelopment Analysis to Determine Optimal Export Allocation to Industrial Units (A Case study of the Stone Industry)
Classification using radial-basis neural networks based on thermographic assessment of Botrytis cinerea infected cut rose flowers treated with methyl jasmonate
A new efficient feature-combination-based method for dynamic texture modeling and classification using semi-random starting parameter dynamic Bayesian networks
A new efficient feature-combination-based method for dynamic texture modeling and classification using semi-random starting parameter dynamic Bayesian networks
Modelling the impact of climate change on rangeland forage production using a generalized regression neural network a case study in Isfahan Province Central Iran
Modelling the impact of climate change on rangeland forage production using a generalized regression neural network a case study in Isfahan Province Central Iran
Experimental Optimization and Modeling of Sodium Sulfide Production from H2 S-Rich Off-Gas via Response Surface Methodology and Artificial Neural Network
Robust Deflection Indices from Traffic-Speed Deflectometer Measurements to Predict Critical Pavement Responses for Network-Level Pavement Management System Application
Simultaneous Determination of Os(VIII) and Ru(IV) as Catalysts Through a Single Catalytic Kinetic Run Using Principal Component Artificial Neural Network
Simultaneous Determination of Os(VIII) and Ru(IV) as Catalysts Through a Single Catalytic Kinetic Run Using Principal Component Artificial Neural Network
Use of artificial neural networks to predict the properties of replicated open-cell aluminum alloy foam via processing parameters of melt squeezing procedure