Не Цзиньлян. Обнаружение судов по данным аэрофотосъёмки с использованием свёрточной нейронной сети [Электронный ресурс]: выпускная квалификационная работа магистра: 09.04.01 - Информатика и вычислительная техника ; 09.04.01_17 - Интеллектуальные системы (международная образовательная программа на иностранном языке) = Detection of vessels by aerial photography using a convolutional neural network / Не Цзиньлян; Санкт-Петербургский политехнический университет Петра Великого, Институт компьютерных наук и технологий ; науч. рук. Г. Ф. Малыхина ; консультант по нормоконтролю Л. А. Киселева. — Электрон. текстовые дан. (1 файл : 17,8 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/vr19-1073.pdf>. — <URL:http://doi.org/10.18720/SPBPU/3/2019/vr/vr19-1073>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-1073-o.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-1073-r.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-1073-a.pdf>.
|
Period
|
Read
|
Print
|
Copy
|
Open
|
Total
|
|
Year 2019
|
Quarter 3
|
July
|
5
|
0
|
2
|
0
|
7
|
|
August
|
6
|
0
|
3
|
0
|
9
|
|
September
|
3
|
0
|
3
|
0
|
6
|
|
Quarter 4
|
October
|
5
|
0
|
7
|
0
|
12
|
|
November
|
0
|
0
|
2
|
0
|
2
|
|
December
|
2
|
0
|
4
|
0
|
6
|
|
Year 2020
|
Quarter 1
|
January
|
8
|
0
|
4
|
0
|
12
|
|
February
|
3
|
0
|
4
|
0
|
7
|
|
March
|
3
|
0
|
4
|
0
|
7
|
|
Quarter 2
|
April
|
0
|
0
|
2
|
0
|
2
|
|
May
|
3
|
0
|
2
|
0
|
5
|
|
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 2021
|
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
|
1
|
0
|
1
|
|
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 2022
|
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
|
9
|
0
|
0
|
0
|
9
|
|
June
|
12
|
1
|
1
|
0
|
14
|
|
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
|
|
Total
|
59
|
1
|
39
|
0
|
99
|
