Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Fitri Arnia"'
Autor:
Raihan Islamadina, Khairun Saddami, Fitri Arnia, Taufik Fuadi Abidin, Rusdha Muharar, Muhammad Irwandi, Aulia Syarif Aziz
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 13, Iss 2, Pp 77-83 (2024)
Deep learning is growing and widely used in various fields of life. One of which is the recognition of pain through facial expressions for patients with communication difficulties. Viola-Jones is a simple algorithm that has real-time detection capabi
Externí odkaz:
https://doaj.org/article/710ee7f5e25e414fa81ae841e23324b3
Publikováno v:
Digital Health, Vol 10 (2024)
Objective The presence of a lightweight convolutional neural network (CNN) model with a high-accuracy rate and low complexity can be useful in building an early obesity detection system, especially on mobile-based applications. The previous works of
Externí odkaz:
https://doaj.org/article/6f920bb207174be4be482bbd6690b959
Autor:
Yunidar Yunidar, Roslidar Roslidar, Maulisa Oktiana, Yusni Yusni, Nasaruddin Nasaruddin, Fitri Arnia
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 1, Pp 76-86 (2024)
Malnutrition is a crucial problem that affects children’s development. Data released by UNICEF in 2022 shows that more than 7 million children under the age of 5 are still experiencing acute malnutrition in Ethiopia, Kenya, and Somalia. Meanwhile,
Externí odkaz:
https://doaj.org/article/ad76cbda1d4e4ce6bddc72d15f2baad1
Autor:
Roslidar Roslidar, Muhammad Jurej Alhamdi, Aulia Rahman, Khairun Saddami, Fitri Arnia, Maimun Syukri, Khairul Munadi
Publikováno v:
IEEE Access, Vol 12, Pp 103433-103449 (2024)
The image quality supports a high accuracy rate of medical image diagnosis using computer vision. Digital thermal images resulting from the thermal device usually suffer from many watermarks that may lower the neural network learning performance. Thu
Externí odkaz:
https://doaj.org/article/fb3eb937cf834b459f668bf405e7ceac
Publikováno v:
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 7, Iss 1, Pp 94-104 (2023)
Since the entry of Islam, many ancient relics in the archipelago were written using Jawi script. Due to human or natural factors, these ancient relics will be damaged or destroyed. To avoid the loss of this ancient heritage data, the data must be sto
Externí odkaz:
https://doaj.org/article/40070f1702f7464e96292865afdb5594
Publikováno v:
Journal of Ecological Engineering, Vol 24, Iss 2, Pp 61-71 (2023)
Monitoring the agricultural field is the key to preventing the spread of disease and handling it quickly. The computer-based automatic monitoring system can meet the needs of large-scale and real-time monitoring. Plant classifiers that can work quick
Externí odkaz:
https://doaj.org/article/1e8526d7ef054f1db06771f879b1814a
Publikováno v:
IEEE Access, Vol 10, Pp 96476-96491 (2022)
Understanding students’ emotional states during the learning process is one of the important aspects to improve learning quality. Measurements of emotion in an academic setting can be performed manually or automatically using a computer. However, d
Externí odkaz:
https://doaj.org/article/6b10e8e6031f44cba7cf4c577565e8bf
Autor:
Roslidar Roslidar, Mohd Syaryadhi, Khairun Saddami, Biswajeet Pradhan, Fitri Arnia, Maimun Syukri, Khairul Munadi
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 2, Pp 1304-1331 (2022)
The presence of a well-trained, mobile CNN model with a high accuracy rate is imperative to build a mobile-based early breast cancer detector. In this study, we propose a mobile neural network model breast cancer mobile network (BreaCNet) and its imp
Externí odkaz:
https://doaj.org/article/c3d8922b26874a8eb8476efbbbe0e321
Publikováno v:
Jurnal Rekayasa Elektrika, Vol 18, Iss 3 (2022)
The model development for breast thermal image classification can be done using deep learning methods, especially the convolutional neural network (CNN) architecture. This article focuses on adapting a trained CNN (trained model) on a mobile applicat
Externí odkaz:
https://doaj.org/article/5628df1d64654b0f89699be69c40afb2
Publikováno v:
Jurnal Rekayasa Elektrika, Vol 18, Iss 2 (2022)
Moving object detection systems have been widely used in everyday life. Currently, research in the field of background subtraction is still being carried out to achieve maximum accuracy results. This study aims to model the background subtraction of
Externí odkaz:
https://doaj.org/article/2c9fa4da0fe74a9085a099ac66747232