Search Results - "Paringer, Rustam"

Machine learning for yield prediction in Fergana valley, Central Asia by Singh Boori, Mukesh, Choudhary, Komal, Paringer, Rustam, Kupriyanov, Alexander

“…Accurate yield prediction is essential for growers, researchers, governments, the farming industry, and policymakers for social peace, food safety, security,…”
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Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performance by Boori, M., Paringer, R., Choudhary, K., Kupriyanov, A.

“…The main aim of this research work is to compare k -nearest neighbor algorithm (KNN) supervised classification with migrating means clustering unsupervised…”
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Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea by Khorin, P., Ilyasova, N., Paringer, R.

“…The study was devoted to the analysis of wavefront aberrations under changes of the cornea surface curvature in the human eye. The analysis was based on the…”
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Spatiotemporal ecological vulnerability analysis with statistical correlation based on satellite remote sensing in Samara, Russia by Boori, Mukesh Singh, Choudhary, Komal, Paringer, Rustam, Kupriyanov, Alexander

“…In the present global situation, when everywhere ecology is degraded due to the extreme exhaustion of natural resources. Therefore spatiotemporal ecological…”
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Eco-environmental quality assessment based on pressure-state-response framework by remote sensing and GIS by Boori, Mukesh Singh, Choudhary, Komal, Paringer, Rustam, Kupriyanov, Alexander

“…Ecological environment quality assessment (EEQ) is an important parameter for sustainable development and sometimes it's more valuable during industrialization…”
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Dendritic crystallogram images classification by Paringer, Rustam, Kupriyanov, Alexander, Ilyasova, Nataly

“…A computer classification system of dendritic crystallogram images is presented in this paper. To improve the quality of classification we use an algorithm for…”
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Using RS/GIS for spatiotemporal ecological vulnerability analysis based on DPSIR framework in the Republic of Tatarstan, Russia by Boori, Mukesh Singh, Choudhary, Komal, Paringer, Rustam, Kupriyanov, Alexander

“…The republic of Tatarstan is one of the most growing state in Russia in terms of industrialization and modernization with various natural disasters and intense…”
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Automated Lightweight Descriptor Generation for Hyperspectral Image Analysis by Artem Mukhin, Paringer, Rustam, Gribanov, Danil, Kilbas, Igor

“…Analyzing hyperspectral images poses a non-trivial challenge due to various challenges. To overcome most of these challenges one of the widely employed…”
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Automatic Selection of the Optimal Zone for Laser Exposure According to the Fundus Images for Laser Coagulation by Demin, Nikita S., Ilyasova, Nataly Yu, Paringer, Rustam A.

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Spatiotemporal ecosystem health assessment comparison under the pressure-state-response framework by Boori, M.S., Choudhary, K., Paringer, R., Kupriyanov, A.

“…A spatiotemporal ecosystem health (EH) assessment study is necessary for sustainable development and proper management of natural resources. At present higher…”
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Technology of intellectual feature selection for a system of automatic formation of a coagulate plan on retina by Ilyasova, N.Yu, Shirokanev, A.S., Kupriyanov, A.V., Paringer, R.A.

“…The paper proposes a technology for effective feature selection to localize individual characteristics of anatomical and pathological structures in the human…”
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Agricultural plant hyperspectral imaging dataset by Gaidel, A.V., Podlipnov, V.V., Ivliev, N.A., Paringer, R.A., Ishkin, P.A., Mashkov, S.V., Skidanov, R.V.

“…Detailed automated analysis of crop images is critical to the development of smart agriculture and can significantly improve the quantity and quality of…”
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Influence of the receptive field size on accuracy and performance of a convolutional neural network by Gabbasov, Rail, Paringer, Rustam

“…Convolutional neural networks (CNNs) have been successfully applied to many tasks such as digit and object recognition. In this paper we study the size of the…”
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Analysis of the data influence on the training of Haar cascades for face detection by Rudinskaya, Elizaveta, Paringer, Rustam

“…This paper is devoted to the problem of the sampling influence on the result of the detector, which is based on the Haar cascades. Trained Haar cascades give…”
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Dental Anomalies Detection Based on the Analysis of Reconstructed Intraoral Scan Images by Pchelkina, Yuliya, Paringer, Rustam, Savelyeva, Polina

“…A method for automated detecting dental system anomalies by identifying the dentition areas and comparing patterns on the reconstructed medical data of oral…”
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An investigation into the application of neural networks for optical vertex image segmentation by Gribanov, Danil, Paringer, Rustam, Savelyev, Dmitry

“…This study investigates the possibility of segmenting modeled images of optical vortices using neural networks. An original dataset was collected for the…”
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Food vulnerability analysis in the central dry zone of Myanmar by Boori, M., Choudhary, K., Paringer, R., Evers, M.

“…The central dry zone of Myanmar is the most water stressed and also one of the most food insecure regions in the country. In the Dry Zone, the total population…”
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Gradient as a Foundation for Building a Loss Function by Kilbas, Igor, Paringer, Rustam

“…Deep neural networks have achieved a tremendous success in a variety of applications across many disciplines. Yet, training a neural network comes with several…”
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Parallel implementation of the informative areas generation method in the spatial spectrum domain by Kravtsova, N., Paringer, R., Kupriyanov, A.

“…This paper proposes a parallel implementation of the image informative segments extraction method. The images are segmented in the spatial spectrum domain. The…”
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Effect of Encoder Architectures on the Generation of Vector Representations for Modeling 3D Objects via the Space of Convex Sets by Gribanov, Danil, Kilbas, Ihar, Mukhin, Artem, Paringer, Rustam

“…This paper presents a study on the effect of different encoder architectures on the generation of vector representations for 3D object models. The central…”
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