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Ahmad Moniri
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2020 – today
- 2021
- [j3]Ahmad Moniri, Dan Terracina
, Jesus Rodriguez-Manzano
Real-Time Forecasting of sEMG Features for Trunk Muscle Fatigue Using Machine Learning. IEEE Trans. Biomed. Eng. 68(2): 718-727 (2021)
2010 – 2019
- 2019
- [j2]Danilo P. Mandic
A Data Analytics Perspective of Power Grid Analysis-Part 1: The Clarke and Related Transforms [Lecture Notes]. IEEE Signal Process. Mag. 36(2): 110-116 (2019) - [j1]Sithan Kanna, Ahmad Moniri
A Data Analytics Perspective of Power Grid Analysis-Part 2: Teaching Old Power Systems New Tricks [Lecture Notes]. IEEE Signal Process. Mag. 36(3): 110-117 (2019) - [c4]Dan Terracina, Ahmad Moniri, Jesus Rodriguez-Manzano
Real-Time Forecasting and Classification of Trunk Muscle Fatigue Using Surface Electromyography. BioCAS 2019: 1-4 - [c3]Ahmad Moniri, Anthony G. Constantinides, Danilo P. Mandic:
Smart DSP for a Smarter Power Grid: Teaching Power System Analysis through Signal Processing. ICASSP 2019: 7883-7887 - [i1]Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic:
Tucker Tensor Layer in Fully Connected Neural Networks. CoRR abs/1903.06133 (2019) - 2018
- [c2]Ilia Kisil, Ahmad Moniri, Danilo P. Mandic:
Tensor Ensemble Learning for Multidimensional Data. GlobalSIP 2018: 1358-1362 - [c1]Ahmad Moniri, Ilia Kisil, Anthony G. Constantinides, Danilo P. Mandic:
Refreshing DSP Courses through Biopresence in the Curriculum: A Successful Paradigm. DSP 2018: 1-4
Coauthor Index
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