Identification and characterisation of Type Ⅱ MnS via YOLO deep learning method

Q Zheng, X Gao, L Zhang - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
In order to solve the problem that the current inclusion characterisation methods can only
identify single-point inclusions, the identification and characterisation model of type II MnS …

Pengembangan Model Aplikasi Manajemen Insentif dan Data Luaran Penelitian pada Perguruan Tinggi Swasta Menggunakan Web Development Life Cycle

WH Haji - Jurnal Sistem Informasi dan E-Bisnis, 2024 - jurnal.ikhafi.or.id
The application of research management in universities is essential not only within
universities but also outside academia to support the improvement of scientific activities …

Metode Image Processing dan Deep Learning Untuk Pengembangan Automatic Number-Plate Recognition (ANPR) di Indonesia

H Noprisson - JUKOMIKA (Jurnal Ilmu Komputer dan Informatika), 2024 - jurnal.ikhafi.or.id
Metode Image Processing dan Deep Learning Untuk Pengembangan Automatic Number-Plate
Recognition (ANPR) di Indonesia Page 1 JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) …

Fast Algorithm of Brightness and Contrast Enhancement Based on HSV

Y Zou, X Zou - Advances in Artificial Intelligence, Big Data and …, 2023 - ebooks.iospress.nl
By analyzing RGB-to-HSV conversion algorithms, this paper proposes a fast algorithm for
enhancing brightness and contrast based on HSV. Unlike traditional algorithm that convert …

[PDF][PDF] Low-cost IoT and computer vision-based on aquaculture monitoring system

E Yamao - portalrevistas.aulavirtualusmp.pe
Securing a reliable source of food for the ever-growing population is one of the big
challenges for humanity. Demand for aquatic foods will continue to grow and production …