Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Muhammad Arhami"'
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 2, Pp 449-453 (2024)
Intrusion Detection System and SMS controller with Snort using SMS Gateway on public networks. The need for an attack detection system that can assist administrators in monitoring the network, so that administrators can cope with threats quickly and
Externí odkaz:
https://doaj.org/article/6e7b2d517468497eab72f46b0bb9dd44
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 69, Iss No 2, Pp 269-273 (2023)
The integration of the internet of things (IoT) and cyber physical network into the battery charging station system is critical to the success and long-term viability of the vehicle to grid (V2G) trend for future automobiles in terms of environmental
Externí odkaz:
https://doaj.org/article/e6c493a68015498fa75ea52a0b53b704
Autor:
Anita Desiani, Yuli Andriani, Irmeilyana Irmeilyana, Rifkie Primartha, Muhammad Arhami, Dwi Fitrianti, Henny Nur Syafitri
Publikováno v:
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), Vol 17, Iss 2, Pp 183-194 (2023)
One of the datasets used to classify heart disease is UCI dataset. unfortunately, the dataset contains missing data. Backpropagation is an easy and fast method, but it is very dependent on input data so if there is missing data, it can reduce the per
Externí odkaz:
https://doaj.org/article/f0b7ca8f50474ceb9bea438b97afa4a8
Autor:
Sri INDRA MAIYANTI, Anita DESIANI, Syafrina LAMIN, P PUSPITAHATI, Muhammad ARHAMI, Nuni GOFAR, Destika CAHYANA
Publikováno v:
Applied Computer Science, Vol 19, Iss 3 (2023)
Soil is a solid-particle that covers the earth's surface. Soils can be classified based their color. The color can be an indication of soil properties and soil conditions. Soil image classification requires high accuracy and caution. CNN works well o
Externí odkaz:
https://doaj.org/article/f9a465e76c654d8faab2502eded8c70c
Autor:
Anita Desiani, Endang Sri Kresnawati, Muhammad Arhami, Yulia Resti, Ning Eliyati, Sugandi Yahdin, Titania Jeanni Charissa, Muhammad Nawawi
Publikováno v:
Science and Technology Indonesia, Vol 8, Iss 1, Pp 84-92 (2023)
Cervical cancer is one of the deadliest female cancers. Early identification of cervical cancer through pap smear cell image evaluation is one of the strategies to reduce cervical cancer cases. The classification methods that are often used are SVM,
Externí odkaz:
https://doaj.org/article/4e60e8d89983434b8ab479130685d4ed
Autor:
Anita Desiani, Azhar Kholiq Affandi, Shania Putri Andhini, Sugandi Yahdin, Yuli Andirani, Muhammad Arhami
Publikováno v:
Lontar Komputer, Vol 13, Iss 2, Pp 72-83 (2022)
The purpose of this study was to determine how the effect of using Bootstrapping Samples for resampling the Harlev dataset in improving the performance of single-cell pap smear classification by dealing with the data imbalance problem. The Harlev dat
Externí odkaz:
https://doaj.org/article/c974b86a44a9478bab4960d9194729fa
Autor:
Ismi Amalia, Indra Mawardi, Indrawati Indrawati, Muhammad Arhami, Muhammad Muhammad, Guntur Syahputra
Publikováno v:
Jurnal Serambi Engineering, Vol 8, Iss 3 (2023)
Tujuan penelitian ini untuk mengklasifikasikan citra Songket Aceh. Data penelitian menggunakan sepuluh motif Songket Aceh dan data diperoleh dari tempat usaha tenun Songket Nyak Mu. Tahapan penelitian ini adalah akuisisi citra, pra-proses, ekstraksi
Externí odkaz:
https://doaj.org/article/8310c62dda764b348e277ae9f2bbd3be
Autor:
Muhammad Arhami, Anita Desiani, Sugandi Yahdin, Ajeng Islamia Putri, Rifkie Primartha, Husaini Husaini
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 8, Iss 2, Pp 210-223 (2022)
Diabetic Retinopathy is a effect of diabetes. It results abnormalities in the retinal blood vessels. The abnormalities can cause blurry vision and blindness. Automatic retinal blood vessels segmentation on retinal image can detect abnormalities in th
Externí odkaz:
https://doaj.org/article/12d82e60e02f45b0bfb0dcc21d50512c
Autor:
Anita Desiani, Erwin, Bambang Suprihatin, Filda Efriliyanti, Muhammad Arhami, Emy Setyaningsih
Publikováno v:
IEEE Access, Vol 10, Pp 92067-92083 (2022)
Additional layers to the U-Net architecture leads to additional parameters and network complexity. The Visual Geometry Group (VGG) architecture with 16 backbones can overcome the problem with small convolutions. Dense Connected (DenseNet) can be used
Externí odkaz:
https://doaj.org/article/85c53950805549b4b4f797db24d631e7
Autor:
Anita Desiani, Novi Rustiana Dewi, Annisa Nur Fauza, Naufal Rachmatullah, Muhammad Arhami, Muhammad Nawawi
Publikováno v:
Science and Technology Indonesia, Vol 6, Iss 4, Pp 303-312 (2021)
Externí odkaz:
https://doaj.org/article/d7380e871c3a4a378f8ce552390b066c