Results 201 to 210 of about 125,103 (220)

Анализ признаков банкротства по показателям отчетности Ð¼Ð°Ð»Ñ‹Ñ Ð¿Ñ€ÐµÐ´Ð¿Ñ€Ð¸ÑÑ‚Ð¸Ð¹ сельского Ñ Ð¾Ð·ÑÐ¹ÑÑ‚Ð²Ð° и выбор модели прогнозирования банкротства

2016
В бакалаврской работе представлены результаты исследования тенденций в Ð±ÑƒÑ Ð³Ð°Ð»Ñ‚ÐµÑ€ÑÐºÐ¾Ð¹ отчетности предприятий малого бизнеса, а также прогнозирования банкротства Ð¼Ð°Ð»Ñ‹Ñ Ð¿Ñ€ÐµÐ´Ð¿Ñ€Ð¸ÑÑ‚Ð¸Ð¹ ÑÐµÐ»ÑŒÑÐºÐ¾Ñ Ð¾Ð·
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Разработка Ð½Ð¾Ð²Ñ‹Ñ Ð¼ÐµÑ‚Ð¾Ð´Ð¾Ð² извлечения Ñ‚ÐµÐºÑÑ‚ÑƒÑ€Ð½Ñ‹Ñ Ð¿Ñ€Ð¸Ð·Ð½Ð°ÐºÐ¾Ð² из Ð¼ÐµÐ´Ð¸Ñ†Ð¸Ð½ÑÐºÐ¸Ñ ÐšÐ¢-сканов для обнаружения типа мутаций

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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Модели геномной селекции Ð½ÐµÑÐºÐ¾Ð»ÑŒÐºÐ¸Ñ Ð¿Ñ€Ð¸Ð·Ð½Ð°ÐºÐ¾Ð² у Ð¿Ð¾Ð»Ð¸Ð¿Ð»Ð¾Ð¹Ð´Ð½Ñ‹Ñ Ñ€Ð°ÑÑ‚ÐµÐ½Ð¸Ð¹ с использованием Ð¸ÑÐºÑƒÑÑÑ‚Ð²ÐµÐ½Ð½Ñ‹Ñ Ð¸Ð·Ð¾Ð±Ñ€Ð°Ð¶ÐµÐ½Ð¸Ð¹

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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