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Investigating a method for macroscale energy extraction from random electrons movement
Feasibility of qualitative identification of some metal elements in rice grains using laser desorption ionization-time of flight mass spectrometry
Feasibility of qualitative identification of some metal elements in rice grains using laser desorption ionization-time of flight mass spectrometry
In situ synthesis of Fe3O4/ carboxylated multi-walled carbon nanotubes nanostructures on nylon fabric with efficient flame retardant and antibacterial properties
In situ synthesis of Fe3O4/ carboxylated multi-walled carbon nanotubes nanostructures on nylon fabric with efficient flame retardant and antibacterial properties
Enhanced Fault Detection and Classification in AC Microgrids Through a Combination of Data Processing Techniques and Deep Neural Networks
Fe3O4@nitrogen-doped carbon@Pd core-double shell nanotubes as a novel nanosorbent for ultrasonic assisted dispersive magnetic solid phase extraction of organophosphorus pesticides
Multi-response modeling and optimization of mechanical properties of extracted date palm fibers using Box-Behnken design
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers