Матеріали конференцій
Permanent URI for this communityhttps://ena.lpnu.ua/handle/ntb/56937
Browse
Search Results
Item ChatBot using NLP(онлайн, 2020) Sarakhman Khrystyna; Kempnyk Roman; Chyhura VladyslavItem Object detection and descriptive analytics(онлайн, 2020) Sarakhman Khrystyna; Kempnyk Roman; Chyhura VladyslavItem Intellectual system for learning foreign language(онлайн, 2020) Yavir Maksym; Kempnyk Roman; Chyhura VladyslavItem The formation of symptomatic medicine recommendations on the basis of ML technology(онлайн, 2020) Makara Stepan; Kempnyk Roman; Chyhura VladyslavItem Process for forming list of songs under user's needs(онлайн, 2020) Kubik Roman; Kempnyk Roman; Chyhura VladyslavItem Semantically similar sentences identification and generating methods(онлайн, 2020) Zdebskyi Petro; Kempnyk Roman; Chyhura VladyslavItem Analytical service for choosing a medical drug(онлайн, 2020) Kleban Kateryna; Andrunyk Vasyl; Kempnyk Roman; Chyhura VladyslavTechnological progress has greatly simplified the life of mankind. At the moment, we have every opportunity to upgrade and develop something that would not simply be an application for spending time or playing with incredible graphics, but something really useful, something that helps people understand their most important problem in life - health. Therefore, in the future we will discuss the creation of a system for choosing medicines, which will allow ordinary users, people interested in medicine, interns and doctors to find the necessary information about the medicines that exist in Ukraine, detailed information about them, their analogues, prices and feedbacks. My task was to make it innovative and easy to use.Item System for analysis of determining the level of professional training of the student(онлайн, 2020) Zdebska Tetyana; Andrunyk Vasyl; Kempnyk Roman; Chyhura VladyslavThe theme for the development of the DS - startup was to take a system to analyze the determination of the level of professional preparation of the student.Item Optical character recognition(онлайн, 2020) Zdebska Tetyana; Andrunyk Vasyl; Kempnyk Roman; Chyhura VladyslavOptical text recognition (OCR) programs are used to recognize text, that is, to translate from a graphic image into a text format. OCR (Optical character recognition) is a mechanical or electronic transfer saved handwritten, typewritten or printed text into a sequence of codes used to represent a text editor. Optical text recognition allows you to: o edit text; o perform search word or phrase; o store it in a more compact form; o show or print material without losing quality; o analyze information; o apply electronic translation, formatting or translation to text Optical text recognition is a research problem in the areas of pattern recognition, artificial intelligence and computer vision. Optical text recognition systems require calibration to work with a specific font ; in earlier versions, programming required the image of each character, the program could only work with one font at a time. Currently, the most common so-called "intelligent" systems that recognize most fonts with a high degree of accuracy. Some optical text recognition systems are capable of restoring the original text formatting, including images, columns, and other non-text components.