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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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23-05-2023 дата публикации

Traffic flow prediction method and device based on deep learning, equipment and medium

Номер: CN116150699A
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The invention discloses a traffic flow prediction method and device based on deep learning, equipment and a medium, and the method comprises the steps: collecting traffic flow data through a road sensor, obtaining a traffic flow data set, carrying out the feature division of the data in the traffic flow data set based on a prediction type, and obtaining main features and auxiliary features, based on the main features, the auxiliary features and the node position of each road sensor, feature extraction is carried out by adopting a graph convolutional network to obtain the spatial features of the main features and the spatial features of the auxiliary features, the spatial features of the main features and the spatial features of the auxiliary features are fused to obtain fused features, and based on the fused features, the spatial features of the main features and the spatial features of the auxiliary features are obtained. By adopting the traffic flow prediction method and device, the accuracy ...

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25-08-2023 дата публикации

Urban ecological toughness evaluation and early warning method and device and related equipment

Номер: CN116645013A
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The invention discloses an urban ecological toughness evaluation and early warning method and device and related equipment, and the method comprises the steps: S1, obtaining real-time data from an urban ecological environment, and forming a time sequence; s2, on the basis of the determined time width, performing smooth noise reduction processing and standardization processing on the time sequence data; inputting the data into an Informer model, and evaluating a future ecological toughness value; s3, on the basis of an Isolation Forest model, ecological toughness original historical data are calculated by using the monitoring data after smoothing processing, an alarm threshold interval is set, and when a predicted toughness value is in the alarm threshold interval, a system sends out low-toughness early warning; and S4, analyzing low-toughness data indexes, and giving a corresponding specific disaster early warning method through historical situations. The method can improve the reasoning ...

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