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DonNTU   The portal of masters

Links on the topic of the graduation paper

    Materials of DonNTU masters

  1. Sharibchenko E. I. Development of a demonstration and training system with remote access to support parallel computing disciplines

    Description: Personal website on the portal of DonNTU masters, 2021

    Head: Ph.D., Professor. Malcheva Raisa Viktorovna

  2. Ivanchenko Y.S. Development of a speech recognition subsystem

    Description: Personal website on the portal of DonNTU masters, 2020

    Head: Ph.D., Associate Professor. Zavadskaya Tatyana Vladimirovna

  3. Kislovskaya Ya.O. Tools for computer image processing

    Description: Personal website on the portal of DonNTU Masters, 2020

    Head: Associate Professor of the Department. Zavadskaya Tatyana Vladimirovna

  4. Kolbasov S.Yu. Research and development of intelligent methods for selecting and classifying objects in an image

    Description: Personal website on the portal of DonNTU masters, 2020

    Head: assoc. Orlov Yuri Konstantinovich

  5. Udovika Yu.D. Development of a method for planning purchases of medical supplies

    Description: Personal website on the portal of DonNTU masters, 2020

    Head: art.rev. kaf. artificial intelligence and system analysis Tarasova Irina Aleksandrovna

  6. Levkin A.V. Research and development of a method for drawing up an enterprise production plan

    Description: Personal website on the portal of DonNTU Masters, 2020

    Head: assoc. Yuri Konstantinovich Orlov

    7. Scientific papers and articles

  7. Neural network corrector for the distribution of work in the task of in-house planning

    Authors: Lukyanov L.A. Spivak S.I. Khristolyubov V.L.

    Description: Classification of planning tasks

  8. Research and development of automated forecasting systems based on neural network theory methods

    Authors: Yakovleva, Galina Leontievna.

    Description: Analysis and classification of existing automated forecasting systems

  9. APPLICATION OF THE HOPFIELD NEURAL NETWORK TO SOLVE THE PROBLEM OF OPTIMAL STUDENT ACCOMMODATION IN A DORMITORY

    Authors: Gurin D.N.

    Description: The algorithm of the task is considered

  10. Personal planning: from stickers on the monitor to goals for 20 years.

    Authors: Daria Dvoeglazova

    Description: Organization of personal affairs

  11. Stanford researchers have taught the neural network to plan

    Authors: Stanford researchers

    Description: Reviewing personal files using a neural network

  12. Comparative analysis of intelligent planning methods

    Authors: Darintsev O.V., Migranov A.B.

    Description: The main stages of solving the planning problem are considered.

  13. FEATURES OF THE USE OF NEURAL NETWORKS IN FORECASTING AND PLANNING

    Authors: Melyushin P.V., Lukyanenko A.Yu.

    Description: Neural networks are a very powerful and unique tool in forecasting and planning.

  14. Modern planning algorithms in TechnologiCS. The first step towards neural networks and self-learning systems

    Authors: Babushkin B.S., Ivanov E.Yu.

    Description: Comparison of plans calculated in a standard way and using the ant colony algorithm.

  15. Artificial neural networks as a tool for planning economic development

    Authors: Yevtyanova Darya Vyacheslavovna

    Description: By transforming and training competitive dynamic neural networks, it is possible to obtain a synthesized model that can become the basis of a digital economic management platform.

  16. Neural networks: practical application

    Authors: Tech Media Content Studio

    Description: Types of neural networks and their application

  17. TensorFlow

    Authors: Igor Panteleev

    Description: Model training for TensorFlow

  18. Speech recognition technologies

    Authors: Professor, Doctor of Technical Sciences Andrey Savchenko

    Description: The development of speech recognition systems

  19. Using machine learning for speech recognition

    Authors: Tsybulsky A.S.

    Description: Description of voice control problems and machine learning methods for speech recognition

  20. Artificial neural networks

    Authors: Stepanov P.P.

    Description: The article describes the architecture of convolutional neural networks and the features of its structure.

  21. Computer image processing and recognition

    Authors: FisenkoV.T., FisenkoT.Y.

    Description: A textbook for students of higher educational institutions studying in the field of Photonics and Optoinformatics. The manual contains methods of computer processing and image recognition. Mathematical models of images and image quality criteria are considered.

  22. Overview of deep neural network training methods

    Authors: Sozykin A.V.

    Description: An overview of the history of the development and current state of deep neural network training methods. The model of an artificial neural network, neural network learning algorithms, including the error back propagation algorithm used to train deep neural networks are considered.

    23. Technical and reference literature

  23. DonNTU Scientific and Technical Library

    Website of the Scientific and Technical Library of Donetsk National Technical University.

  24. Google Academy

    A freely available search engine that provides full-text search for scientific publications.

  25. Microsoft Research

    Library of scientific articles from Microsoft.

  26. GraphiCon Scientific Society

    A non-profit community of specialists in the field of computer graphics, machine vision and image processing.

  27. OpenGL

    A resource dedicated to the OpenGL graphics library and the issues that arise when working with it.

  28. OpenCV

    A freely distributed multi-platform computer vision library.

  29. KNOW "INTUIT"

    Various online courses sorted by sections and specialties.

    30. Specialized websites and portals

  30. DevDocs

    This is an online resource that provides a reference and documentation for software developers. The site combines documentation on various programming languages, frameworks, libraries, APIs and other technologies, allowing developers to quickly find and explore information without leaving the browser.

  31. Wikipedia

    A free encyclopedia that anyone can edit.

  32. Habrahabr

    Habr is Europe's largest resource for IT specialists, published by TM.

  33. Neurohive A resource about the latest research in the field of neural networks: computer vision, nlp, photo processing, streaming video and sound, augmented and virtual reality.

  34. Datareview

    DataReview.info — an information and educational portal dedicated to data analysis and processing.

  35. CIT forum The largest archive of scientific and practical information in all areas of computer science.

  36. CYBERLENINKA Scientific Electronic Library

    Open access electronic library.

  37. ImageNet

    Storage of thousands of images on a given subject.

  38. Towards Data Science

    This portal on Medium often contains articles and guides on the use of neural networks in planning.

  39. KDnuggets

    A resource covering various aspects of machine learning; here you can find articles on the use of neural networks in planning.

  40. IEEE Xplore A platform for publishing scientific articles where you can find research on the use of neural networks in planning.

  41. Google Scholar

    A search engine for scientific articles where you can find publications and research on this topic.

    42. Training materials and online courses

  42. 1C Programmer's School

    In this course, you will learn the concept of a "neural network" — what it is and how it works.

  43. 1C-ïðîãðàììèñò : advanced course

    Learn a sought-after profession from scratch and will be able to start working after 8 months of training

    44. Training materials and online courses

  44. Neural networks first steps

    In this course, you will learn the concept of a "neural network" — what it is and how it works.

  45. Studying neural networks

    During the training process, you will be provided with information about neural networks, machine learning and the general principles of artificial intelligence.

  46. C# Neural Network

    This practical intensive is dedicated to the C# programming language and introduction to the field of artificial intelligence. It is aimed at studying the creation of neural networks using C#.

  47. How to simplify life with the help of neural networks A free course on how to turn neural networks into an assistant at work, at school and at home.

    48. List of popular libraries

  48. ML.NET

    Microsoft's open machine learning platform for model development, including neural networks.

  49. Accord.NET

    A library that includes modules for image processing.

  50. Deedle

    Library for working with data and analyzing data

  51. CNTK (Computational Network Toolkit)

    Microsoft's open framework for deep Learning