Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Machmud R Alhamidi"'
Autor:
Naili Suri Inthizami, M. Anwar Ma’sum, Machmud R. Alhamidi, Ahmad Gamal, Ronni Ardhianto, Kurnianingsih, Wisnu Jatmiko
Publikováno v:
ICT Express, Vol 8, Iss 3, Pp 347-351 (2022)
Semantic segmentation can be used to analyze the video data taken by UAV in the flood monitoring system. An accurate analysis can help rescue teams to assess and mitigate flood disasters. This paper proposed an improved Efficient Neural Network archi
Externí odkaz:
https://doaj.org/article/3862a7b5709f4ad6858f1359af6d0c0b
Autor:
Riskyana Dewi Intan Puspitasari, M. Anwar Ma’sum, Machmud R. Alhamidi, Kurnianingsih, Wisnu Jatmiko
Publikováno v:
ICT Express, Vol 8, Iss 2, Pp 239-243 (2022)
Deep Learning Classification is often used to analyze biomedical data. One of them is to analyze the Fetal Heart Rate (FHR) signal data used to check and monitor maternal and fetal health and prevent mobility and mortality in fetuses at risk of devel
Externí odkaz:
https://doaj.org/article/428b03f826c146b9b2ee60fd8f944866
Publikováno v:
Jurnal Ilmu Komputer dan Informasi, Vol 8, Iss 1, Pp 35-44 (2015)
Multitasking is one of the most challenging issues in the automation industry which is highly depended on the embedded system. There are two methods to perform multitasking in embedded system: RTOS and primitive interrupt. The main purpose of this re
Externí odkaz:
https://doaj.org/article/28787f084c334d3c92cf1ca699e2a4f2
Autor:
Ahmad Gamal, Ario Yudo Husodo, Grafika Jati, Machmud R Alhamidi, M. Anwar Ma'sum, Ronni Ardhianto, Wisnu Jatmiko
Publikováno v:
2021 International Conference on Advanced Computer Science and Information Systems (ICACSIS).
Publikováno v:
2021 6th International Workshop on Big Data and Information Security (IWBIS).
Autor:
Wisnu Jatmiko, Machmud R Alhamidi
Publikováno v:
Information
Volume 11
Issue 1
Information, Vol 11, Iss 1, p 38 (2020)
Volume 11
Issue 1
Information, Vol 11, Iss 1, p 38 (2020)
Feature selection is a way of reducing the features of data such that, when the classification algorithm runs, it produces better accuracy. In general, conventional feature selection is quite unstable when faced with changing data characteristics. It
Publikováno v:
MHS
The increase of data is becoming faster, so the amount of data becomes very large, which in the end creates a big data problem. Three aspects that are often identified as problems faced with big data are volume, velocity, and variety. In this paper,
Publikováno v:
IWBIS
In recent years, big data has become hot and challenging issue. The use of big data term in many areas provided positive impact. In traffic area included road traffic, railway traffic, and airline traffic, there is huge information can be obtained. T
Autor:
Ito Wasito, Machmud R Alhamidi
Publikováno v:
IWBIS
DNA analysis is currently becoming very important to diagnose diseases. One of the approaches is using microarray technology. A microarray is made up of thousands of molecules that are placed in a specific location called spots. Each spot contains mu
Autor:
Ari Wibisono, Novian Habibie, Wisnu Jatmiko, Doni Hikmat Ramdhan, Rindra Wiska, M. Febrian Rachmadi, Machmud R Alhamidi, Petrus Mursanto
Publikováno v:
2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS).
Traffic congestion is a problem that often occurs in the big cities in Indonesia. It is caused by very rapid increase of vehicle. The offered solution is to monitor the traffic situation automatically. We implemented the method of detecting vehicle d