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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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Применить Всего найдено 3. Отображено 3.
26-05-2023 дата публикации

Target text type field label identification method and device

Номер: CN116166801A
Автор: LI XIN, MA YUE, LOU JING, XING NINGZHE, CHEN ZHONGTAO, WANG YIFEI, LIANG DONG, WANG JUN, WANG CHANG, SHANG FANGJIAN, LI XINYI, WEN XIN, ZHANG HAIMING, LIANG XIAO, LIU WEIWEI, YAO YANLI, WANG SEN, PANG SIRUI, SU DAN, NA QIONGLAN, ZHOU ZIKUO, JIANG YUNZHOU, QU HONGZE, WANG XIAOHUI, HUANG FUPENG, AN NINGYU, LEI SHUYA, ZHANG WENSI
Принадлежит:

The invention provides a target text type field tag identification method and device. The method comprises the steps of obtaining metadata information of a target database; screening out metadata information corresponding to the target text type field from the obtained metadata information and adding the metadata information to a list of objects to be recognized; according to the to-be-recognized object list, obtaining multiple pieces of to-be-recognized text data of the target text type field from a target database; classifying each piece of to-be-identified text data of the target text field by utilizing a pre-trained classification model of the target text field to obtain a label of each piece of to-be-identified text data of the target text field; and determining the label of the target text type field according to the labels of the plurality of to-be-identified text data of the target text type field. The method is suitable for analysis of massive complex text field data, and the data ...

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Номер записи: 1
23-05-2023 дата публикации

Power grid data quality determination method and device

Номер: CN116151668A
Автор: MA YUE, CHEN ZHONGTAO, LIANG DONG, LOU JING, XING NINGZHE, WANG YIFEI, LI XIN, WANG CHANG, WANG JUN, ZHANG HAIMING, WEN XIN, SHANG FANGJIAN, LI XINYI, LIANG XIAO, LIU WEIWEI, YAO YANLI, WANG SEN, PANG SIRUI, SU DAN, NA QIONGLAN, QU HONGZE, ZHOU ZIKUO, JIANG YUNZHOU, WANG XIAOHUI, HUANG FUPENG, AN NINGYU, LEI SHUYA, ZHANG WENSI
Принадлежит:

The invention relates to the field of data analysis, and provides a power grid data quality determination method and device, and the method comprises the steps: obtaining a power grid data set which comprises a plurality of power grid data samples; determining an index value of each evaluation index of each sample under each index classification; calculating a first weight of each evaluation index according to the index value of each sample in each evaluation index; calculating to obtain a second weight of each evaluation index according to score values of experts on the evaluation indexes under each classification; integrating the first weight and the second weight of each evaluation index to obtain the weight of each evaluation index; determining an optimal scheme and a worst scheme; calculating the distance between each sample and the optimal scheme and the distance between each sample and the worst scheme according to the weight of each evaluation index value and the index value of ...

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Номер записи: 2
09-05-2023 дата публикации

Multi-source address information identification method and device

Номер: CN116090443A
Автор: WANG YIFEI, MA YUE, LIANG DONG, LOU JING, XING NINGZHE, LI XIN, CHEN ZHONGTAO, WANG JUN, WANG CHANG, WEN XIN, ZHANG HAIMING, SHANG FANGJIAN, LI XINYI, LIANG XIAO, LIU WEIWEI, YAO YANLI, WANG SEN, PANG SIRUI, SU DAN, NA QIONGLAN, ZHOU ZIKUO, JIANG YUNZHOU, QU HONGZE, WANG XIAOHUI, HUANG FUPENG, AN NINGYU, LEI SHUYA, ZHANG WENSI
Принадлежит:

The invention provides a multi-source address information identification method and device, and the method comprises the steps: obtaining table structure information and table data information of each data table in a business scene according to the business scene and the data table in the business scene; performing address character labeling processing on the table structure information of each data table in the business scene to obtain an address attribute of the table structure information of each data table; obtaining an address text from the table data information according to the address attribute of the table structure information of each data table; and normalizing the obtained address text, and inputting the normalized address text of each user in every two data tables in the service scene into a predetermined recognition model to obtain a matching result of the addresses in every two data tables of each user in the service scene. According to the method, the information quality ...

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Номер записи: 3