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Omid Geramifard
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2020 – today
- 2020
- [i1]Punit Rathore, Ali Zonoozi, Omid Geramifard, Kian-Lee Tan:
Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study. CoRR abs/2009.04108 (2020)
2010 – 2019
- 2017
- [c7]Jakob Kinghorst, Omid Geramifard, Ming Luo, Hian-Leng Chan, Khoo Yong, Jens Folmer, Minjie Zou, Birgit Vogel-Heuser:
Hidden Markov model-based predictive maintenance in semiconductor manufacturing: A genetic algorithm approach. CASE 2017: 1260-1267 - 2016
- [c6]Omid Geramifard, Yi Zhi Zhao, Chua Yong Quan, Hian-Leng Chan, Xiang Li:
Power-signature-based Bayesian multi-classifier for operation mode identification. ETFA 2016: 1-6 - 2015
- [c5]Omid Geramifard, Tung Le:
Multi-model diagnostics for various machining conditions: A similarity-based approach. IECON 2015: 333-338 - 2014
- [j3]Omid Geramifard, Jian-Xin Xu, Junhong Zhou, Xiang Li:
Multimodal Hidden Markov Model-Based Approach for Tool Wear Monitoring. IEEE Trans. Ind. Electron. 61(6): 2900-2911 (2014) - [c4]Tung Le, Omid Geramifard:
Fleet-based approach for tool wear estimation using sequential importance sampling with resampling. ICARCV 2014: 1467-1472 - 2013
- [j2]Omid Geramifard, Jian-Xin Xu, Sanjib Kumar Panda:
Fault detection and diagnosis in synchronous motors using hidden Markov model-based semi-nonparametric approach. Eng. Appl. Artif. Intell. 26(8): 1919-1929 (2013) - 2012
- [j1]Omid Geramifard, Jian-Xin Xu, Junhong Zhou, Xiang Li:
A Physically Segmented Hidden Markov Model Approach for Continuous Tool Condition Monitoring: Diagnostics and Prognostics. IEEE Trans. Ind. Informatics 8(4): 964-973 (2012) - [c3]Omid Geramifard, Jian-Xin Xu, Wee-Yuan Chen:
An HMM-based semi-nonparametric approach for fault diagnostics in rotary electric motors. ISIE 2012: 1218-1223 - 2010
- [c2]Omid Geramifard, Jianxin Xu, Junhong Zhou, Xiang Li:
Continuous health assessment using a single hidden Markov model. ICARCV 2010: 1347-1352 - [c1]Omid Geramifard, Jian-Xin Xu, Chee Khiang Pang, Junhong Zhou, Xiang Li:
Data-driven approaches in health condition monitoring - A comparative study. ICCA 2010: 1618-1622
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