Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Dhimas Arief Dharmawan"'
Publikováno v:
Journal of Electrical and Electronics Engineering, Vol 17, Iss 1, Pp 13-18 (2024)
Vehicle tracking devices play an important role in tracking and monitoring vehicles in specific locations. Due to the frequent occurrence of motorized vehicle theft among the public, it is necessary to design a vehicle tracking device with the follow
Externí odkaz:
https://doaj.org/article/e8430fe0389045c38b59a912d3272b84
Publikováno v:
Jurnal Sistem dan Manajemen Industri, Vol 7, Iss 2, Pp 139-154 (2023)
This research addresses order planning challenges related to perishable products, using bread products as a case study. The problem is how to efficiently manage the various bread products ordered by diverse customers, which requires distributors
Externí odkaz:
https://doaj.org/article/be6b9cb6e0ef4f8395dfb22e095d68b2
Fovea and diabetic retinopathy: Understanding the relationship using a deep interpretable classifier
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 2, Iss , Pp 100059- (2022)
Diabetic retinopathy affects some parts of the retina, including the fovea, as it progresses to the severe stage. However, the relationship between the fovea and diabetic retinopathy progression remains unknown. Here, a new methodology is proposed to
Externí odkaz:
https://doaj.org/article/7d91d83b339e41b982fed1e61c18f401
Publikováno v:
IEEE Access, Vol 7, Pp 41885-41896 (2019)
Automatic retinal vessels segmentation is an important task in medical applications. However, most of the available retinal vessels segmentation methods are prone to poorer results when dealing with challenging situations such as detecting low-contra
Externí odkaz:
https://doaj.org/article/be872be2bebe43c585991234f01f3a0b
Publikováno v:
Symmetry, Vol 10, Iss 7, p 257 (2018)
In this paper, we present a new unsupervised algorithm for retinal vessels segmentation. The algorithm utilizes a directionally sensitive matched filter bank using a modified Dolph-Chebyshev type II basis function and a new method to combine the matc
Externí odkaz:
https://doaj.org/article/97d4374d4def4f6793a905a2caeebdfe
Publikováno v:
Journal of Electrical Technology UMY. 4:53-60
Image processing is a technical term useful for modifying images in various ways. In medicine, image processing has a vital role. One example of images in the medical world, namely retinal images, can be obtained from a fundus camera. The retina imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::788c89395699e1b6f640136c3831f249
https://doi.org/10.18196/jet.v4i2.8590
https://doi.org/10.18196/jet.v4i2.8590
Autor:
Latifah Listyalina, Irawadi Buyung, Agus Qomaruddin Munir, Ikhwan Mustiadi, Dhimas Arief Dharmawan
Publikováno v:
Telematika. 19:323
Purpose: In this study, the authors designed an algorithm based on convolutional neural networks that can automatically assess tire quality.Design/methodology/approach: The proposed algorithm is built through several stages as follows. In the first s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a324a0a461f35c658424653a783ac5d
https://doi.org/10.31315/telematika.v19i3.7697
https://doi.org/10.31315/telematika.v19i3.7697
Publikováno v:
IEEE Signal Processing Letters. 26:1511-1515
The problems of filamentary structures segmentation encompass retinal vessel detection in fundus images, reconstruction and tracing of neurons in microscopic images and segmentation of human vasculatures in two-dimensional digital angiography. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ca504a17d1da5bf77a59180c1d4fff0
https://doi.org/10.1109/lsp.2019.2938631
https://doi.org/10.1109/lsp.2019.2938631
Publikováno v:
IEEE Access, Vol 7, Pp 41885-41896 (2019)
Automatic retinal vessels segmentation is an important task in medical applications. However, most of the available retinal vessels segmentation methods are prone to poorer results when dealing with challenging situations such as detecting low-contra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd1c3b72593e302e32fbab1e21fcc10e
https://ieeexplore.ieee.org/document/8672105/
https://ieeexplore.ieee.org/document/8672105/
Autor:
Latifah Listyalina, Yudianingsih Yudianingsih, Adjie Wibowo Soedjono, Evrita Lusiana Utari, Dhimas Arief Dharmawan
Publikováno v:
Telematika. 19:215
In this study, the authors designed an algorithm based on deep learning that can automatically classify plastic waste according to Resin Identification Codes (RIC). The proposed algorithm is built through several stages as follows. In the first stage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cd479794b3da3cf06233f39a8e8e79d
https://doi.org/10.31315/telematika.v19i2.7419
https://doi.org/10.31315/telematika.v19i2.7419