An intelligent system for content generation

An intelligent system for content generation

Pokaż inne wersje (1)

Generation graphical content from a single template image file in art manner is an important but difficult task for artificial neural networks, mostly due to the huge difference between classification existing data and producing new data. Nevertheless artificial intelligent systems capable of genera...

Szczegółowa specyfikacja

Zapisane w:

Opis bibliograficzny
Główni autorzy:	Nikolaev, E. I., Николаев, Е. И., Dvoryaninov, P. V., Дворянинов, П. В., Lensky, Y. Y., Ленский, Я. Ю., Drozdovsky, N. S., Дроздовский, Н. С.
Format:	Статья
Język:	English
Wydane:	CEUR-WS 2018
Hasła przedmiotowe:	Classification Intelligent systems Neural networks Three dimensional computer graphics Deep neural networks
Dostęp online:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85019885850&origin=resultslist&sort=plf-f&src=s&st1=An+intelligent+system+for+content+generation&st2=&sid=29bb6676f1cc3369baba28b866977483&sot=b&sdt=b&sl=59&s=TITLE-ABS-KEY%28An+intelligent+system+for+content+generation%29&relpos=76&citeCnt=1&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/3022
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Podobne zapisy

An intelligent system for content generation
od: Nikolaev, E. I., i wsp.
Wydane: (2018)

Using virtual data for training deep model for hand gesture recognition
od: Nikolaev, E. I., i wsp.
Wydane: (2018)

Towards intelligent control system for computer numerical control machines
od: Nikolaev, E. I., i wsp.
Wydane: (2019)

Analytical review of the methods of dynamic load balancing under conditions of uncertainty in the execution time of tasks
od: Shiriaev, E. M., i wsp.
Wydane: (2021)

Hardware and software implementation of neural network control of power systems based on the system of residual classes
od: Tikhonov, E. E., i wsp.
Wydane: (2020)

Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals
od: Kiladze, M. R., i wsp.
Wydane: (2023)

Development of a convolution algorithm for the content of a Web resource for processing by a neural network
od: Gorshkov, S. N., i wsp.
Wydane: (2020)

Multimodal Analysis of Unbalanced Dermatological Data for Skin Cancer Recognition
od: Lyakhov, P. A., i wsp.
Wydane: (2023)

Analytical Review of Confidential Artificial Intelligence: Methods and Algorithms for Deployment in Cloud Computing
od: Shiriaev, E. M., i wsp.
Wydane: (2024)

A method for predicting the evolvement of an emergency zone based on artificial neural networks
od: Petrenko, V. I., i wsp.
Wydane: (2021)

Neural network classification of dermatoscopic images of pigmented skin lesions
od: Lyakhov, P. A., i wsp.
Wydane: (2022)

Theoretical Analysis of the Convolutional Neural Networks Acceleration by Organizing Calculations According to the Winograd Method
od: Abdulsalyamova, A. S., i wsp.
Wydane: (2023)

Review of Modern Technologies of Computer Vision
od: Bezuglova, E. S., i wsp.
Wydane: (2023)

Style transfer for CNC machine input data preprocessing
od: Nikolaev, E. I., i wsp.
Wydane: (2019)

Using neural networks in building a psychological typology
od: Solomonov, V. A., i wsp.
Wydane: (2019)

Hamming neural network in discrete form
od: Shaposhnikov, A. V., i wsp.
Wydane: (2022)

Neural network technologies in economics study aid
od: Kovalenko, A. V.

A robotic complex control method based on deep reinforcement learning of recurrent neural networks for automatic harvesting of greenhouse crops
od: Petrenko, V. I., i wsp.
Wydane: (2021)

Applying a Generative Adversarial Approach to Build an Intelligent Control System for Robotic Systems
od: Nikolaev, E. I., i wsp.
Wydane: (2023)

Survey of Optimization Algorithms in Modern Neural Networks
od: Abdulkadirov, R. I., i wsp.
Wydane: (2023)

Machine learning algorithm for anthropomorphic manipulator control system
od: Petrenko, V. I., i wsp.
Wydane: (2021)

Neural Networks in Production
od: Rudakova, T. A., i wsp.
Wydane: (2024)

Neural network approach to prediction of the liquid petroleum products viscosity
od: Koldaev, A. I., i wsp.
Wydane: (2021)

Development of forecasting theory and methods for developing forecasts in electroenergetics
od: Tikhonov, E. E., i wsp.
Wydane: (2021)

Optimization of computational complexity of an artificial neural network
od: Vershkov, N. A., i wsp.
Wydane: (2021)

Risks Associated with the Use of Artificial Intelligence in Various Fields of Science
od: Vartumyan, A. A., i wsp.
Wydane: (2024)

Neural network analysis for image classification
od: Vershkov, N. A., i wsp.
Wydane: (2022)

Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
od: Lyakhova, U. A., i wsp.
Wydane: (2024)

Optimization of Artificial Neural Networks using Wavelet Transforms
od: Vershkov, N. A., i wsp.
Wydane: (2023)

Residue number system-based solution for reducing the hardware cost of a convolutional neural network
od: Chervyakov, N. I., i wsp.
Wydane: (2020)

Feature importance evaluation method for multi-agent deep reinforcement learning in advanced robotics task allocation
od: Ryabtsev, S. S., i wsp.
Wydane: (2022)

Evaluation of a method for measuring speech quality based on an authentication approach using a correlation criterion
od: Lapina, M. A., i wsp.
Wydane: (2021)

Transverse-layer partitioning of artificial neural networks for image classification
od: Vershkov, N. A., i wsp.
Wydane: (2024)

Designing Computer Simulators in Support of a Propaedeutic Course on Neural Network Technologies
od: Ionisyan, A. S., i wsp.
Wydane: (2023)

Neural Network Skin Cancer Recognition with a Modified Cross-Entropy Loss Function
od: Lyakhova, U. A., i wsp.
Wydane: (2023)

Optimization of neural network training for image recognition based on trigonometric polynomial approximation
od: Vershkov, N. A., i wsp.
Wydane: (2022)

Application CUDA for optimization ANN in forecasting electricity on industrial enterprise
od: Taranov, R. V., i wsp.
Wydane: (2018)

Development of the neural network method for analyzing the literary text from the point of view of genre identification
od: Babenko, M. G., i wsp.
Wydane: (2018)

Using neural network technologies to assess the quality characteristics of food
od: Sadovoy, V. V., i wsp.
Wydane: (2021)

The effective neural network implementation of the secret sharing scheme with the use of matrix projections on FPGA
od: Chervyakov, N. I., i wsp.
Wydane: (2018)