Zobrazeno 1 - 10 of 25 pro vyhledávání: '"M Faizal Amri"'
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Akademický článek
Bacterial Classification Using Deep Structured Convolutional Neural Network for Low Resource Data
Autor: M Faizal Amri, Asri Rizki Yuliani, Dwi Esti Kusumandari, Artha Ivonita Simbolon, M. Ilham Rizqyawan, Ulfah Nadiya
Publikováno v: Jurnal Elektronika dan Telekomunikasi, Vol 23, Iss 1, Pp 47-54 (2023)
Bacterial identification is an essential task in medical disciplines and food hygiene. The characteristics of bacteria can be examined under a microscope using culture techniques. However, traditional clinical laboratory culture methods require consi
Externí odkaz: https://doaj.org/article/b73c95d0f91646cda4352a65f9611f5e
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8
Feature Extraction on Brain Wave Activities in Rapid Serial Visual Presentation Stimulus
Autor: Artha I. Simbolon, M. Faizal Amri, Rina Ristiana, M. Ilham Rizqyawan, Dwi Esti Kusumandari, Asri Rizki Yuliani, Shafiyah Mahmudah
Publikováno v: 2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET).
The images stimulus that appear rapidly and contain different frequencies might have an effect on brain activities. This paper proposed how to determine a rapid visual stimulus and its effects to the brain activities. The stimulus that used in this p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ab0edd3409d3b5bea9fef07cff93b319
https://doi.org/10.1109/icramet51080.2020.9298684
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9
Quantized Convolutional Neural Network toward Real-time Arrhythmia Detection in Edge Device
Autor: Aris Munandar, Agus Pratondo, M. Faizal Amri, Rio Korio Utoro, Muhammad Ilham Rizqyawan
Publikováno v: 2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET).
Automatic arrhythmia detection is one of the most researched areas in electrocardiography (ECG). Many methods have been proposed for the task using, not only the traditional machine learning but also deep learning algorithms. To build a real-time edg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::15b039e9dfa43e7dc024272ac283d8ee
https://doi.org/10.1109/icramet51080.2020.9298667
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