Finding Contents or People

ارزيابي جريان محيط زيستي رودخانه بشار به روش هيدرولوژيك تنانت بر اساس نيازهاي زيستي ماهيان شاخصEvaluating the Environmental Flow of Beshar River, Using Tennant's Hydrological Method Based on the Biological Requirements of Indicator Fishes
پايش تغييرات فراواني پوسته استراكودها در مغزه رسوبي (مطالعه موردي: تالاب بين المللي گاوخوني)Monitoring the frequency changes of ostracod shells in the sediment core (Case study: Gavkhooni International Wetland)
Analyzing the trend of hydrological indicators related to environmental flow of the Beshar River تحليل روند شاخص¬هاي هيدرولوژيك مربوط به نياز آبي محيط زيستي رودخانه بشار چهارمين كنفرانس ملي هيدرولوژي ايران The Fourth National Hydrology Conference of
Saliva NIR spectroscopy and Aquaphotomics: a novel diagnostic approach to Paratuberculosis in dairy cattle
Synthetic wheat as a new source of flour quality under drought conditions: Associations with solvent retention capacity
Synthetic wheat as a new source of flour quality under drought conditions: Associations with solvent retention capacity
Enhanced Fault Detection and Classification in AC Microgrids Through a Combination of Data Processing Techniques and Deep Neural Networks
A copula-based multivariate flood frequency analysis under climate change effects
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
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches