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Object of study is texture feature extraction method in medical CT scans.The aim is to develop a new texture feature extraction method for EGFR mutation detection and show the accuracy of the proposed feature extraction method, comparing it with existing methods.The emergence of computed tomography (CT) as a key technology in medical imaging has ...
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In this work, we developed a model for predicting pairs of quantitative traits in wheat based on data containing information on genetic markers and phenotypic indices of plants. The models were convolutional neural networks with the ability to select the most significant genetic traits and were trained using a modified representation of SNPs.
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Topic of final qualifying work: "Utilization of Synthetic Images and Direct Feature Extraction Methods for Addressing Bioinformatics Challenges". The thesis focuses on tackling the problem of effectively solving the phenotype prediction task in light of the growing demand to develop agricultural crop varieties with higher yield potential and resilience
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This paper examines the regulatory legal framework for countering terrorism as a threat to the national security of the Russian Federation. A set of problems that were solved during the study: 1. definition of the essence, concept and main features of terrorism; 2.
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The final qualifying work focuses on the methodological aspects of teaching skimming reading skills in English using the Perplexity artificial intelligence program. The goal of the research is to theoretically justify and develop methodological recommendations for forming skimming reading skills in students through the Perplexity platform.
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