Search Results - Pukalchik, Maria A.

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  1. 1
    Effect of Exogenic Humic Substances on Various Growth Endpoints of Alternaria alternata and Trichoderma harzianum in the Experimental Conditions

    Effect of Exogenic Humic Substances on Various Growth Endpoints of Alternaria alternata and Trichoderma harzianum in the Experimental Conditions by Fedoseeva, Elena V., Patsaeva, Svetlana V., Khundzhua, Daria A., Pukalchik, Maria A., Terekhova, Vera A.

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  2. 2
    Machine learning methods for estimation the indicators of phosphogypsum influence in soil

    Machine learning methods for estimation the indicators of phosphogypsum influence in soil by Pukalchik, Maria A., Katrutsa, Alexandr M., Shadrin, Dmitry, Terekhova, Vera A., Oseledets, Ivan V.

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  3. 3
    triad approach to ecological assessment of urban soils

    triad approach to ecological assessment of urban soils by Terekhova, V. A, Pukalchik, M. A, Yakovlev, A. S

    Published in Eurasian soil science
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  4. 4
    MixChannel: Advanced Augmentation for Multispectral Satellite Images

    MixChannel: Advanced Augmentation for Multispectral Satellite Images by Illarionova , Svetlana, Nesteruk , Sergey, Shadrin, Dmitrii, Ignatiev , Vladimir, Pukalchik , Maria, Oseledets, Ivan

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  5. 5
    Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data

    Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data by Koldasbayeva, Diana, Tregubova, Polina, Shadrin, Dmitrii, Gasanov, Mikhail, Pukalchik, Maria

    Published in Scientific reports
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  6. 6
    Outlining the Potential Role of Humic Products in Modifying Biological Properties of the Soil—A Review

    Outlining the Potential Role of Humic Products in Modifying Biological Properties of the Soil—A Review by Pukalchik, Maria, Kydralieva, Kamila, Yakimenko, Olga, Fedoseeva, Elena, Terekhova, Vera

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  7. 7
    Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches

    Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches by Matvienko, Ivan, Gasanov, Mikhail, Petrovskaia, Anna, Kuznetsov, Maxim, Jana, Raghavendra, Pukalchik, Maria, Oseledets, Ivan

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  8. 8
    Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment

    Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment by Nikitin, Artyom, Tregubova, Polina, Shadrin, Dmitrii, Matveev, Sergey, Oseledets, Ivan, Pukalchik, Maria

    Published in Scientific reports
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  9. 9
    The improvement of multi-contaminated sandy loam soil chemical and biological properties by the biochar, wood ash, and humic substances amendments

    The improvement of multi-contaminated sandy loam soil chemical and biological properties by the biochar, wood ash, and humic substances amendments by Pukalchik, Maria, Mercl, Filip, Panova, Maria, Břendová, Kateřina, Terekhova, Vera A., Tlustoš, Pavel

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  10. 10
    An Automated Approach to Groundwater Quality Monitoring—Geospatial Mapping Based on Combined Application of Gaussian Process Regression and Bayesian Information Criterion

    An Automated Approach to Groundwater Quality Monitoring—Geospatial Mapping Based on Combined Application of Gaussian Process Regression and Bayesian Information Criterion by Shadrin, Dmitrii, Nikitin, Artyom, Tregubova, Polina, Terekhova, Vera, Jana, Raghavendra, Matveev, Sergey, Pukalchik, Maria

    Published in Water (Basel)
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  11. 11
    Using humic products as amendments to restore Zn and Pb polluted soil: a case study using rapid screening phytotest endpoint

    Using humic products as amendments to restore Zn and Pb polluted soil: a case study using rapid screening phytotest endpoint by Pukalchik, Maria, Panova, Maria, Karpukhin, Mikhail, Yakimenko, Olga, Kydralieva, Kamila, Terekhova, Vera

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  12. 12
    Bayesian aggregation improves traditional single image crop classification approaches

    Bayesian aggregation improves traditional single image crop classification approaches by Matvienko, Ivan, Gasanov, Mikhail, Petrovskaia, Anna, Raghavendra Belur Jana, Pukalchik, Maria, Oseledets, Ivan

    Published in arXiv.org
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