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2020 – today
- 2022
[c8]Rong Phoophuangpairoj:
Monitoring an Inversion Table Back Stretching Machine Using a Smartphone Accelerometer. ICCDE 2022: 39-44- 2020
- [c7]Rong Phoophuangpairoj, Panida Charnkeitkong:
Developing a Mobile Application to Detect Improper Sitting Using Regression Analysis and an Accelerometer. ICMLSC 2020: 124-128
2010 – 2019
- 2017
- [c6]Rong Phoophuangpairoj:
Recognizing Quality of Floor Tiling from Knocking Signals Using HMMs. IC2IT 2017: 130-139 - 2015
- [c5]Rong Phoophuangpairoj, Phongsuphap Sukanya:
Two-Stage Gender Identification Using Pitch Frequencies, MFCCs and HMMs. SMC 2015: 2879-2884 - 2014
- [j1]Rong Phoophuangpairoj:
Automated Classification of Watermelon Quality Using Non-flicking Reduction and HMM Sequences Derived from Flicking Sound Characteristics. J. Inf. Sci. Eng. 30(4): 1015-1033 (2014) - [c4]Rong Phoophuangpairoj:
Durian Ripeness Striking Sound Recognition Using N-gram Models with N-best Lists and Majority Voting. IC2IT 2014: 167-176 - 2011
- [c3]Rong Phoophuangpairoj:
Using multiple HMM recognizers and the maximum accuracy method to improve voice-controlled robots. ISPACS 2011: 1-6
2000 – 2009
- 2009
- [c2]Rong Phoophuangpairoj, Phongsuphap Sukanya, Supachai Tangwongsan:
Gender Identification from Thai Speech Signal Using a Neural Network. ICONIP (1) 2009: 676-684 - 2004
- [c1]Supachai Tangwongsan, Pornchai Po-Aramsri, Rong Phoophuangpairoj:
Highly Efficient and Effective Techniques for Thai Syllable Speech Recognition. ASIAN 2004: 259-270
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