One of the most important points in increasing the conversion component of a web resource is identifying the most attractive places for the site user. To identify these locations, a site user activity data visualization tool was created that provides a visual representation of each user action on a site page.

Keywords: heat map, site, oculograph, fixation, priority area

Determining human emotions from speech is a pressing task at the moment, because it can be applied in various industries, such as economics, medicine, marketing, security and education. This work examines the recognition of human emotions specifically from speech, because speech is an informative indicator that is quite difficult to fake. The paper discusses a neural network approach to solving the problem. A recurrent neural network with LSTM memory was implemented, and our own dataset was collected on which the model was trained. The dataset includes the speech of Russian-speaking actors, which will improve the quality of the model for Russian-speaking users.

Keywords: neural network, emotion detection, speech, classification, deep learning, recurrent model, LSTM

From the point of view of practical value, the definition of emotions in a person's voice can be applied in various areas related to both the transmission of audio messages and online communication: such areas include medicine, security, economics, education, etc. As a striking example, we can provide an assessment of the quality of work of call-center operators, as well as the services / goods they offer. So the presence of signals that the client is experiencing negative emotions, for example, anger, can indicate possible problems with the operators. In this paper, a neural network approach will be considered for automatically determining a person's emotions from his speech.

Keywords: neural network, emotion detection, speech, classification, deep learning, convolutional model

From the point of view of practical value, data collection in priority areas of sites can be used by designers and owners of web resources to increase the conversion component of a web resource. Information about which areas on the site are most interesting to the user can indicate the places where the most important design elements need to be placed. In this paper, we will consider the method of data collection using an oculoscope in the priority areas of sites.

Keywords: usability, view, website, eye tracker, heat map

The topic of monitoring the state of vegetation using satellite technologies is covered in this paper. The forming of fields' NDVI images is considered. It is proposed to supplement satellite images with new images which formed on predicted values ​​of the vegetation index. It can be helpful for timely detection of heterogeneous and defective areas of vegetation cover. The paper discusses methods for forecasting the NDVI values using Volgograd region as a study area. The results of training a recurrent neural network with the LSTM mechanism, as well as the results of training the XGBoost algorithm, are obtained. Based on the results of the training, the most important weather parameters affecting NDVI were identified. The performance of the trained models was evaluated using the RMSE metric.

Keywords: precision farming, vegetation indices, NDVI, forecasting, time series, LSTM, random forest

This article proposes the development of a method for fixing changes in the galvanic skin response and human pulse, depending on the viewing of a video fragment, which presumably causes a certain emotional reaction of a person. The creation of a prototype device on the Arduino Leonardo platform and compatible with this platform sensors for fixing galvanic skin response and a human pulse sensor is described, with the help of which data is collected for further use in determining the emotional state of a person.

Keywords: galvanic skin reaction, pulse, emotional state, arduino, emotion