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RACEkNN: A hybrid approach for improving the effectiveness of the k-nearest neighbor algorithm
Synergistic triboelectric and piezoelectric effects in zinc oxide-based nanogenerators
In situ growth of copper-based metal-organic framework on a helical shape copper wire as a sorbent in stir-bar sorptive extraction of fenthion followed by corona discharge ion mobility spectrometry
In situ growth of copper-based metal-organic framework on a helical shape copper wire as a sorbent in stir-bar sorptive extraction of fenthion followed by corona discharge ion mobility spectrometry
Inoculation and co-inoculation of alfalfa seedlings with root growth promoting microorganisms (Piriformospora indica Glomus intraradices and Sinorhizobium meliloti) affect molecular structures nutrient profiles and availability of hay for ruminants
Selected Papers (pdf)
Application of Multiple Linear Regression and Artificial Neural Network Algorithms to Predict the Total handle Value of Summer Knitted T-shirts
Optimizing Spinning Variables to Reduce the Hairiness of Rotor Yarns Produced from Waste Fibers Collected from the Ginning Process
Projects
Projects
Academic and Industrial Research Activities:
Predicting the Hairiness and Coefficient of Variation of Elastic Core-spun Yarns Produced on Sirofil-Spinning System using Artificial Neural Network
Books
Nanostructure formation in chiral poly(amide-imide)s based on dopamine moiety and N-trimellitylimido-L-amino acids in the main chain
2018, Karimi, P.