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Soil microbial improvement using enriched vinasse as a new abundant waste
Safety analysis of Sormeh underground mine to improve sublevel stoping stability
مطالعه عملكرد بهبود دهندههاي مختلف بر روي خصوصيات سنگهاي ضعيف جهت استفاده در موج شكنهاA Study of the Performance of a Various Improvers on the Properties of Weak Stones for Use in Breakwaters
Determination of crack initiation and propagation in two disc shaped specimens using the improved maximum tangential stress criterion
ارزيابي ميزان تاثير فرسايش شيميايي محلول اسيدشويي مس بر نفوذپذيري توده سنگ، به كمك روش مدلسازي شبكه درزه منفصل المان مجزا )مطالعه موردي معدن مس دره زارEvaluation of the effect of chemical degradation of copper leaching solution on permeability of roc
RACEkNN: A hybrid approach for improving the effectiveness of the k-nearest neighbor algorithm
GRACER: Improving the Accuracy of RACER Classifier Using A Greedy Approach
Screening of spermidine-mediated improvement of plant growth, photosynthetic performance, metabolites, and nutrition acquisition in six cabbage varieties
Saliva NIR spectroscopy and Aquaphotomics: a novel diagnostic approach to Paratuberculosis in dairy cattle
Enhanced Fault Detection and Classification in AC Microgrids Through a Combination of Data Processing Techniques and Deep Neural Networks
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
A deep learning model for fault detection in distribution networks with high penetration of electric vehicle chargers