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Low-Barrier Object Detection for Mobile Applications

Published in Journal on Information Technologies & Communications, 2024

This paper presents an integrated approach combining web, mobile, and automated training technologies to streamline object detection model development, aiming to make advanced computer vision more accessible and efficient for small and medium-sized businesses.

Recommended citation: Hoang, A., Nguyen, K. T., Ho, T. V. (2024). "Low-Barrier Object Detection for Mobile Applications." Journal on Information Technologies & Communications, Vol. 2025, No. 1. doi: 10.32913/mic-ict-research.v2024.n2.1343.
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QSat-SemCom: A Quantum-Enhanced Deep Learning Framework for Semantic Satellite Image Transmission

Published in 2026 26th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2026

This paper proposes QSAT-SEMCOM, a quantum-classical hybrid SemCom framework that integrates a variational quantum circuit into thesemantic encoder of a DeepJSCC system to enhance semantic feature representation.

Recommended citation: K. T. Nguyen, T. T. Pham, J. S. Yoon and C. S. Hong, "QSat-SemCom: A Quantum-Enhanced Deep Learning Framework for Semantic Satellite Image Transmission," 2026 26th Asia-Pacific Network Operations and Management Symposium (APNOMS), Kumamoto, Japan, 2026.
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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