Data analytics using neural networks is a modern trend in scientific research. One of these scientific tasks is the use of artificial intelligence in the time series research and forecasting. The paper considers the results of experiments on the use of one-dimensional convolutional layers in a neural network within the framework of the meteorological (wind speed) time series data classifying task. The improving of the forecast accuracy by adding convolutional layers is shown, which in the considered real problem reaches 9 %. Several variants of architectures for building a model with convolutional layers with an estimate of the accuracy of their prediction are given.
The paper discusses approach to automating the processes of monitoring and editing standard sections in a document of a university teacher in streaming mode. As a toolkit for solving the problem, it is proposed to use the Python programming language with the connection of the python-docx and pandas libraries. Despite the fact that the projected automation tools are focused on a specific task to control documents of a university teacher, the development of the concept of their construction is carried out with an abstraction from the type of documentation. The set of functions may vary depending on the problem being solved. As a result of work on the creation of tools for automating the control of the correctness of typical sections of a university teachers document, a framework of an open software environment for streaming verification of typical sections of documents in the Python language was designed, capable of adapting to the required verification tasks. The project is currently implemented for autonomous operation in Windows OS, it is also expected to be implemented as a web application. For active use in practice for specific tasks, the development of appropriate script packages is required. The main purpose of the development is to release human resources from the routine process of document control and direct it to the implementation of the employees creative ideas.
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