Мельников, Константин Алексеевич. Методы распознавания образов с использованием глубоких нейронных сетей [Электронный ресурс]: выпускная квалификационная работа магистра по направлению 27.04.03 - Системный анализ и управление ; 27.04.03_01 - Теория и математические методы системного анализа и управления в технических и экономичеких системах / К. А. Мельников; Санкт-Петербургский политехнический университет Петра Великого, Институт компьютерных наук и технологий; науч. рук. С. А. Нестеров. — Электрон. текстовые дан. (1 файл : 1,5 Мб). — Санкт-Петербург, 2019. — Загл. с титул. экрана. — Доступ по паролю из сети Интернет (чтение, печать, копирование). — Adobe Acrobat Reader 7.0. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/vr19-5346.pdf>. — <URL:http://doi.org/10.18720/SPBPU/3/2019/vr/vr19-5346>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-5346-o.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-5346-r.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-5346-a.pdf>.
|
Period
|
Read
|
Print
|
Copy
|
Open
|
Total
|
|
Year 2019
|
Quarter 4
|
October
|
8
|
0
|
5
|
0
|
13
|
|
November
|
1
|
0
|
4
|
0
|
5
|
|
December
|
2
|
0
|
6
|
0
|
8
|
|
Year 2020
|
Quarter 1
|
January
|
3
|
0
|
7
|
0
|
10
|
|
February
|
1
|
0
|
2
|
0
|
3
|
|
March
|
2
|
1
|
2
|
0
|
5
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
0
|
0
|
4
|
0
|
4
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
1
|
0
|
1
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
1
|
0
|
1
|
|
Year 2021
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
1
|
0
|
1
|
|
Quarter 2
|
April
|
0
|
0
|
1
|
0
|
1
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
1
|
0
|
1
|
|
Year 2022
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
1
|
0
|
1
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
1
|
0
|
0
|
0
|
1
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
2023
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2024
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
1
|
0
|
1
|
0
|
2
|
|
Total
|
20
|
1
|
37
|
0
|
58
|
