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Van-Sang Doan
Person information
- affiliation: Naval Academy, Faculty of Communication and Radar, Nha Trang, Vietnam
- affiliation (2019 - 2020): Kumoh National Institute of Technology, Gumi, South Korea
- affiliation (PhD 2016): University of Defence, Brno, Czech Republic
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Journal Articles
- 2024
- [j15]Ngoc-Tuan Do, Van-Phuc Hoang, Van-Sang Doan:
A novel non-profiled side channel attack based on multi-output regression neural network. J. Cryptogr. Eng. 14(3): 427-439 (2024) - [j14]Rubina Akter, Van-Sang Doan, Ahmad Zainudin, Dong-Seong Kim:
Sparsely Connected Low Complexity CNN for Unmanned Vehicles Detection-Sensing RF Signal. IEEE Trans. Veh. Technol. 73(10): 14236-14251 (2024) - 2023
- [j13]Van-Phuc Hoang, Ngoc-Tuan Do, Van-Sang Doan:
Efficient Nonprofiled Side-Channel Attack Using Multi-Output Classification Neural Network. IEEE Embed. Syst. Lett. 15(3): 145-148 (2023) - [j12]Ngoc-Tuan Do, Van-Phuc Hoang, Van-Sang Doan, Cong-Kha Pham:
On the performance of non-profiled side channel attacks based on deep learning techniques. IET Inf. Secur. 17(3): 377-393 (2023) - [j11]Rubina Akter, Mohtasin Golam, Van-Sang Doan, Jae-Min Lee, Dong-Seong Kim:
IoMT-Net: Blockchain-Integrated Unauthorized UAV Localization Using Lightweight Convolution Neural Network for Internet of Military Things. IEEE Internet Things J. 10(8, April 15): 6634-6651 (2023) - [j10]Van-Phuc Hoang, Ngoc-Tuan Do, Van-Sang Doan:
Performance Analysis of Deep Learning Based Non-profiled Side Channel Attacks Using Significant Hamming Weight Labeling. Mob. Networks Appl. 28(3): 1187-1196 (2023) - 2022
- [j9]Van-Sang Doan, Thien Huynh-The, Van-Phuc Hoang, Duy-Thai Nguyen:
MoDANet: Multi-Task Deep Network for Joint Automatic Modulation Classification and Direction of Arrival Estimation. IEEE Commun. Lett. 26(2): 335-339 (2022) - [j8]Van-Sang Doan, Thien Huynh-The, Dong-Seong Kim:
Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j7]Rubina Akter, Van-Sang Doan, Jae-Min Lee, Dong-Seong Kim:
CNN-SSDI: Convolution neural network inspired surveillance system for UAVs detection and identification. Comput. Networks 201: 108519 (2021) - [j6]Thien Huynh-The, Cam-Hao Hua, Van-Sang Doan, Quoc-Viet Pham, Dong-Seong Kim:
Accurate Deep CNN-Based Waveform Recognition for Intelligent Radar Systems. IEEE Commun. Lett. 25(9): 2938-2942 (2021) - [j5]Rubina Akter, Van-Sang Doan, Thien Huynh-The, Dong-Seong Kim:
RFDOA-Net: An Efficient ConvNet for RF-Based DOA Estimation in UAV Surveillance Systems. IEEE Trans. Veh. Technol. 70(11): 12209-12214 (2021) - [j4]Thien Huynh-The, Van-Sang Doan, Cam-Hao Hua, Quoc-Viet Pham, Toan-Van Nguyen, Dong-Seong Kim:
Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network. IEEE Wirel. Commun. Lett. 10(8): 1638-1642 (2021) - 2020
- [j3]Seung-Hwan Kim, Jae-Woo Kim, Sang Van Doan, Dong-Seong Kim:
Lightweight Deep Learning Model for Automatic Modulation Classification in Cognitive Radio Networks. IEEE Access 8: 197532-197541 (2020) - [j2]Van-Sang Doan, Dong-Seong Kim:
DOA estimation of multiple non-coherent and coherent signals using element transposition of covariance matrix. ICT Express 6(2): 67-75 (2020) - 2016
- [j1]Dalibor Biolek, Zdenek Kolka, Jiri Vavra, Sang Van Doan:
Universal Emulator of Memristive and Other Two-Terminal Devices. Int. J. Unconv. Comput. 12(4): 281-302 (2016)
Conference and Workshop Papers
- 2023
- [c16]Huy Hoang Nguyen, Xuan Thanh Pham, Van-Sang Doan, Manh Kha Hoang:
Combining MUSIC Algorithm and Adaptive Beamforming to Improve Online Call Quality. ADHOCNETS 2023: 3-14 - [c15]Hoang Thi Yen, Van-Phuc Hoang, Quang-Kien Trinh, Van-Sang Doan, Guanghao Sun:
Sleep Apnea Patient Monitoring Using Continuous-wave Radar. SSP 2023: 295-298 - 2022
- [c14]Ha-Khanh Le, Van-Phuc Hoang, Van-Sang Doan, Minh-Thien Hoang, Ngoc Phong Dao:
Performance Analysis of Convolutional Neural Networks with Different Window Functions for Automatic Modulation Classification. ICTC 2022: 153-157 - [c13]Rubina Akter, Mohtasin Golam, Ahmad Zainudin, Van-Sang Doan, Dong-Seong Kim:
RF Signal-Based Multipurpose UAV Surveillance System Using Deep Neural Network. ICTC 2022: 555-559 - [c12]Rubina Akter, Van-Sang Doan, Ahmad Zainudin, Dong-Seong Kim:
An Explainable Multi-Task Learning Approach for RF-based UAV Surveillance Systems. ICUFN 2022: 145-149 - [c11]Mohtasin Golam, Rubina Akter, Revin Naufal Alief, Van-Sang Doan, Jae-Min Lee, Dong-Seong Kim:
Blockchain Inspired Intruder UAV Localization Using Lightweight CNN for Internet of Battlefield Things. MILCOM 2022: 342-349 - 2021
- [c10]Viet An Nguyen, Viet Hung Vu, Van-Sang Doan, Thanh-Hung Nguyen, Phan-Thuan Do, Kien Nguyen, Phi Le Nguyen, Minh Thuy Le:
Realizing Mobile Air Quality Monitoring System: Architectural Concept and Device Prototype. APCC 2021: 115-120 - [c9]Thien Huynh-The, Quoc-Viet Pham, Toan-Van Nguyen, Van-Sang Doan, Nhan Thanh Nguyen, Daniel Benevides da Costa, Dong-Seong Kim:
Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition. GLOBECOM 2021: 1-6 - 2020
- [c8]Ngoc-Tuan Do, Van-Phuc Hoang, Van-Sang Doan:
Performance Analysis of Non-Profiled Side Channel Attacks Based on Convolutional Neural Networks. APCCAS 2020: 66-69 - [c7]Van-Sang Doan, Thien Huynh-The, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim:
Learning Constellation Map with Deep CNN for Accurate Modulation Recognition. GLOBECOM 2020: 1-6 - [c6]Thien Huynh-The, Van-Sang Doan, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim:
Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment. GLOBECOM 2020: 1-6 - [c5]Thien Huynh-The, Cam-Hao Hua, Van-Sang Doan, Quoc-Viet Pham, Toan-Van Nguyen, Dong-Seong Kim:
Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels. ICTC 2020: 300-304 - [c4]Rubina Akter, Van-Sang Doan, Godwin Brown Tunze, Jae-Min Lee, Dong-Seong Kim:
RF-Based UAV Surveillance System: A Sequential Convolution Neural Networks Approach. ICTC 2020: 555-558 - [c3]Van-Sang Doan, Thien Huynh-The, Van-Phuc Hoang, Dong-Seong Kim:
Convolutional Neural Network-Based DOA Estimation Using Non-uniform Linear Array for Multipath Channels. INISCOM 2020: 45-56 - 2019
- [c2]Sang Van Doan, Dong-Seong Kim:
DOA Estimation of Two Correlated Signals Using Covariance Matrix Transformation. ICTC 2019: 784-788 - 2018
- [c1]Sang Van Doan, Trang Cong Tran, Van Duc Nguyen:
DOA Estimation of Underwater Acoustic Signals Using Non-uniform Linear Arrays. INISCOM 2018: 103-110
Data and Artifacts
- 2022
- [d1]Van-Sang Doan:
Multi-task Learning Dataset for Automatic Modulation Classification and DOA Estimation. IEEE DataPort, 2022
Informal and Other Publications
- 2020
- [i2]Thien Huynh-The, Van-Sang Doan, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim:
Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment. CoRR abs/2009.02023 (2020) - [i1]Van-Sang Doan, Thien Huynh-The, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim:
Learning Constellation Map with Deep CNN for Accurate Modulation Recognition. CoRR abs/2009.02026 (2020)
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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