An event-triggered machine learning approach for accelerometer-based fall detection IPES Putra, J Brusey, E Gaura, R Vesilo Sensors 18 (1), 20, 2017 | 128 | 2017 |
Window-size impact on detection rate of wearable-sensor-based fall detection using supervised machine learning IPES Putra, R Vesilo 2017 IEEE life sciences conference (LSC), 21-26, 2017 | 28 | 2017 |
Can smartphones be used to detect an earthquake? Using a machine learning approach to identify an earthquake event AF Aji, IPES Putra, P Mursanto, S Yazid 2014 IEEE International Systems Conference Proceedings, 72-77, 2014 | 11 | 2014 |
A cascade-classifier approach for fall detection IPES Putra, J Brusey, E Gaura 5th EAI International Conference on Wireless Mobile Communication and …, 2015 | 10 | 2015 |
Industrial Extreme Programming practice's implementation in rational unified process on agile development theme IPES Putra, A Yuliawati, P Mursanto 2012 International Conference on Advanced Computer Science and Information …, 2012 | 9 | 2012 |
Centroid based adaptive random testing for object oriented program IPES Putra, P Mursanto 2013 International Conference on Advanced Computer Science and Information …, 2013 | 5 | 2013 |
Wavelet denoising and fractal feature selection for classifying simulated earthquake signal from mobile phone accelerometer T Antaresti, AS Nugraha, IPES Putra, S Yazid 2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices …, 2014 | 2 | 2014 |
Analisis Perbandingan Ketahanan Metode Steganografi LSB dan BPCS Menggunakan Metode Steganalisis Binary Similarity Measures NAS ER, IPES Putra Jurnal Buana Informatika 3 (1), 2012 | 1 | 2012 |
Analysis of mangrove forest density in Benoa Bay using Sentinel-2A images N Bashit, Y Wahyuddin, I Putra, Y Prasetyo, A Sukmono, AL Nugraha AIP Conference Proceedings 2722 (1), 2023 | | 2023 |