| Identifying severity level of cybersickness from eeg signals using cn2 rule induction algorithm ES Pane, AZ Khoirunnisaa, AD Wibawa, MH Purnomo 2018 international conference on intelligent informatics and biomedical …, 2018 | 30 | 2018 |
| Channel selection of EEG-based cybersickness recognition during playing video game using correlation feature selection (CFS) AZ Khoirunnisaa, ES Pane, AD Wibawa, MH Purnomo 2018 2nd international conference on biomedical engineering (IBIOMED), 48-53, 2018 | 20 | 2018 |
| Classification of EEG signal for detecting cybersickness through time domain feature extraction using Naïve Bayes MA Mawalid, AZ Khoirunnisa, MH Purnomo, AD Wibawa 2018 international conference on computer engineering, network and …, 2018 | 19 | 2018 |
| Eeg visualization for cybersickness detection during playing 3d video games AD Wibawa, S Mardi, S Nugroho, AZ Khoirunnisaa 2019 International seminar on intelligent technology and its applications …, 2019 | 15 | 2019 |
| The biometrics system based on iris image processing: a review AZ Khoirunnisaa, L Hakim, AD Wibawa 2019 2nd International Conference of Computer and Informatics Engineering …, 2019 | 6 | 2019 |
| Multi-scale entropy and multiclass fisher’s linear discriminant for emotion recognition based on multimodal signal L Hakim, SP Kristanto, AZ Khoirunnisaa, AD Wibawa emotion 5 (1), 2020 | 5 | 2020 |
| Analisis Pengaruh Penggunaan Antena Jamak MIMO 2x2, SIMO 1x2 dan SISO 1x1 terhadap Perfomansi Orthogonal Frequency Division Multiple Access (OFDMA) dengan Teknologi Radio over … AZ Khoirunnisaa Universitas Brawijaya, 2013 | 2 | 2013 |
| SELEKSI KANAL PADA ELECTROENCEPHALOGRAPH (EEG) MENGGUNAKAN METODE CORRELATION FEATURE SELECTION (CFS) UNTUK IDENTIFIKASI CYBERSICKNESS AZ KHOIRUNNISAA, BK TELEMATIKA | 1 | |
