Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Widya Kumala Sari"'
Publikováno v:
Sociae Polites. 21:156-167
Peatland is a rich ecosystem containing many organic components. This ecosystem is composed of plant residue materials that have not undergone a complete decomposition process due to the high water content of the land. Peatland is a rich biodiversity
Autor:
Setyawan Widyartoh, Widya Kumala Sari, Siti Rafidah Binti Kassim, Mohammad Syafrullah, Krisna Adiyarta
Publikováno v:
Proceeding of the Electrical Engineering Computer Science and Informatics. 6
Image identification to detect a tumour needs several stages of image processing along with identifying analysis. To get an accurate segmentation of the tumour contour and to identify brain tumour based on brain magnetic resonance imaging (MRI), a su
Autor:
Krisna Adiyarta, Setyawan Widyarto, Siti Rafidah Binti Kassim, Mohammad Syafrullah, Widya Kumala Sari
Publikováno v:
2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).
Image identification to detect a tumour needs several stages of image processing along with identifying analysis. To get an accurate segmentation of the tumour contour and to identify brain tumour based on brain magnetic resonance imaging (MRI), a su
Autor:
Khalimatus Sa’diyah, Dedy Setyawan, Delita Septialti, Ketang Wiyono, Angga Puja Asiandu, Sutinah Sutinah, Etna Vianita, Widya Kumala Sari
Publikováno v:
Jurnal Pendidikan Fisika dan Keilmuan (JPFK). 6:93
The ability of Indonesian students to master physics is still low. Based on PISA in 2018, Indonesia ranked at 62th out of 72 participating countries. It was much lower than other Asian countries. Therefore, this problem should be overcome. One of the
Publikováno v:
Proceeding of the Electrical Engineering Computer Science and Informatics. 4
Tumour identification has always been a topic that interested researchers around the world. The most challenging phase in tumour identification based on brain MR image is the segmentation of the tumour contour which may contain many unwanted details.
Publikováno v:
2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).
Tumour identification has always been a topic that interested researchers around the world. The most challenging phase in tumour identification based on brain MR image is the segmentation of the tumour contour which may contain many unwanted details.