Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Roslidar"'
Publikováno v:
In Smart Health September 2024 33
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:
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
Publikováno v:
Jurnal Rekayasa Elektrika, Vol 19, Iss 3 (2023)
Air pollution is a factor that affects the clear skies and breathable air of the city. Humans cannot directly quantify the changes in air quality; hence we need a technological tool to detect the changes in air quality around them. This study propose
Externí odkaz:
https://doaj.org/article/d905ecf0423548789ee3378d75728318
Autor:
Hayati, Mira, Muchtar, Kahlil, Roslidar, Maulina, Novi, Syamsuddin, Irfan, Elwirehardja, Gregorius Natanael, Pardamean, Bens
Publikováno v:
In Procedia Computer Science 2023 216:57-66
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:
Digital Health; 8/20/2024, p1-16, 16p
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 1 (2022)
Jogging is a form of trotting or running at a slow or leisurely pace. So far, the measurement of running distance is determined by wearables Global Positioning System (GPS) and pedometers. The use of wearables with GPS commonly used by joggers cannot
Externí odkaz:
https://doaj.org/article/20369644ed214640aef865fa166644c8