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Recognition of buildings on satellite imagesThe paper is devoted to the methods for determining objects in images. The authors focus
Deep Neural Networks for Emotion Recognition methods. Deep convolutional neural networks and recurrent neural networks with bidirectional LSTM memory
Innovations in foreign (chinese) students’ grammar competence formation while training them russian as a foreign language: network technology and the module approachThe article deals with the researches in the field of finding new methods of teaching Russian
Dynamic Algorithm for Building Future Networks Based on Intelligent Core Network), Internet of Things (IoT), millimeter wave (mmWave), new radio and software defined networking
Computer modeling of the automated tests of diesel engines various conditions of their operation of different operating conditions of the diesel engine. Increase in number of the considered external factors
Risk analysis in the appointment of the trucks’ warranty period operation of their “life cycle”: design, production and operation. The most important for the manufacturer is the warranty
Кодирование панорамных видеоданных, управляемое оператором.
The main methods of panoramic video compression for transmission in mobile networks are
analyzed. A method
Stationary sojourn times in map/ph/1/r queue with bi-level hysteretic control of arrivals characteristics of a finite-capacity queueing system operating in a random environment with the bi
Financial Profitability Evaluation and Forecasting Using the Deep Learning: A Case of the Chinese Petroleum Industry neural network (LSTM) model. The results show that the profitability of Chinese petroleum industry listed
LoRaWAN as a corporate network constructionThe article describes the setup of a corporate LoRaWAN network and provides examples of the use
Страница 27 из 9431
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