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Tan Tran
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2020 – today
- 2024
- [i2]Nhi Tran, Tan Tran, Nam Nguyen:
Leveraging AI for Enhanced Software Effort Estimation: A Comprehensive Study and Framework Proposal. CoRR abs/2402.05484 (2024) - 2023
- [c5]Tan Tran, Lin-Ching Chang, Peter S. Lum:
Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data. IEEE Big Data 2023: 6292-6294 - 2022
- [j1]Eva S. Rosker
, Michael T. Barako, Tan Tran
, Evan Nguyen, Mark S. Goorsky
, Jesse Tice:
Ultralow RF Signal Loss in Aerosol Jet Printed Silver Microstrip Lines up to 18 GHz. IEEE Access 10: 32973-32980 (2022) - [c4]Riyadh Mahmood, Jay Pennington, Danny Tsang, Tan Tran, Andrea Bogle:
A Framework for Automated API Fuzzing at Enterprise Scale. ICST 2022: 377-388 - 2021
- [i1]Quan Duong, Tan Tran, Duc-Thinh Pham, An Mai:
A Simplified Framework for Air Route Clustering Based on ADS-B Data. CoRR abs/2107.12869 (2021)
2010 – 2019
- 2019
- [c3]Quan Duong, Tan Tran
, Duc-Thinh Pham
, An Mai:
A Simplified Framework for Air Route Clustering Based on ADS-B Data. RIVF 2019: 1-6 - [c2]Tan Tran
, Duc-Thinh Pham
, Quan Duong, An Mai:
An Adaptive Hash-Based Text Deduplication for ADS-B Data-Dependent Trajectory Clustering Problem. RIVF 2019: 1-6 - 2018
- [c1]Tan Tran, Lin-Ching Chang
, Ibrahim Almubark, Elaine M. Bochniewicz, Liqi Shu, Peter S. Lum, Alexander Dromerick:
Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device. IEEE BigData 2018: 5457-5459
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last updated on 2024-04-24 23:03 CEST by the dblp team
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