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Rubina Akter

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affiliation: Kumoh National Institute of Technology, Gumi, South Korea

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2020 – today

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2024
[j7]
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Esmot Ara Tuli, Rubina Akter, Jae Min Lee, Dong-Seong Kim:
Whale optimization-based PTS scheme for PAPR reduction in UFMC systems. IET Commun. 18(2): 187-195 (2024)
2023
[j6]
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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)
[j5]
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Ahmad Zainudin, Love Allen Chijioke Ahakonye, Rubina Akter, Dong-Seong Kim, Jae-Min Lee:
An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks. IEEE Internet Things J. 10(10): 8491-8504 (2023)
[j4]
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Ahmad Zainudin, Rubina Akter, Dong-Seong Kim, Jae-Min Lee:
Federated Learning Inspired Low-Complexity Intrusion Detection and Classification Technique for SDN-Based Industrial CPS. IEEE Trans. Netw. Serv. Manag. 20(3): 2442-2459 (2023)
[c17]
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Ahmad Zainudin, Revin Naufal Alief, Made Adi Paramartha Putra, Rubina Akter, Dong-Seong Kim, Jae-Min Lee:
Blockchain-Based Decentralized Trust Aggregation for Federated Cyber-Attacks Classification in SDN-Enabled Maritime Transportation Systems. ICC Workshops 2023: 182-187
[c16]
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Ahmad Zainudin, Revin Naufal Alief, Made Adi Paramartha Putra, Rubina Akter, Jae-Min Lee, Dong-Seong Kim:
Blockchain-aided Decentralized Collaborative Automatic Modulation Classification for Next-Generation Wireless Networks. ICTC 2023: 1058-1063
[c15]
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  - conf/ictc/ShantoAKJ23
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Md Javed Ahmed Shanto, Rubina Akter, Dong-Seong Kim, Taesoo Jun:
Predicting Bike-Sharing Demand: A Machine Learning Approach for Urban Mobility Analysis. ICTC 2023: 1079-1081
2022
[j3]
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Mohtasin Golam, Rubina Akter, Jae-Min Lee, Dong-Seong Kim:
A Long Short-Term Memory-Based Solar Irradiance Prediction Scheme Using Meteorological Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[c14]
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Ahmad Zainudin, Rubina Akter, Dong-Seong Kim, Jae-Min Lee:
Towards Lightweight Intrusion Identification in SDN-based Industrial Cyber-Physical Systems. APCC 2022: 610-614
[c13]
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Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Rubina Akter, Dong-Seong Kim, Jae-Min Lee:
Adaptive Drone Identification and Neutralization Scheme for Real-Time Military Tactical Operations. ICOIN 2022: 380-384
[c12]
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  - conf/ictc/AkterGZD022
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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
[c11]
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Mohtasin Golam, Rubina Akter, Esmot Ara Tuli, Dong-Seong Kim, Jae-Min Lee:
Lightweight Blockchain Assisted Unauthorized UAV Access Prevention in the Internet of Military Things. ICTC 2022: 890-894
[c10]
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Ahmad Zainudin, Rubina Akter, Dong-Seong Kim, Jae-Min Lee:
FedDDoS: An Efficient Federated Learning-based DDoS Attacks Classification in SDN-Enabled IIoT Networks. ICTC 2022: 1279-1283
[c9]
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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
[c8]
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  - conf/milcom/GolamAADLK22
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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
[d1]
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Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Mohtasin Golam, Rubina Akter, Ali Aouto, Dong Seong Kim, Jae-Min Lee:
VisioDECT Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification. IEEE DataPort, 2022
2021
[j2]
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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)
[j1]
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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)
[c7]
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Rubina Akter, Jae-Min Lee, Dong-Seong Kim:
Analysis and Prediction of Hourly Energy Consumption Based on Long Short-Term Memory Neural Network. ICOIN 2021: 732-734
[c6]
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Simeon Okechukwu Ajakwe, Rubina Akter, Love Allen Chijioke Ahakonye, Dong-Seong Kim, Jae-Min Lee:
Real-Time Monitoring of COVID-19 Vaccination Compliance: A Ubiquitous IT Convergence Approach. ICTC 2021: 440-445
[c5]
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  - conf/ictc/GolamAL021
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Mohtasin Golam, Rubina Akter, Jae-Min Lee, Dong-Seong Kim:
Energy Efficient UAV Deployment with Optimized Path-Planning in Post-Disaster Environment. ICTC 2021: 466-469
[c4]
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Rubina Akter, Mohtasin Golam, Jae-Min Lee, Dong-Seong Kim:
Doppler Radar-based Real-Time Drone Surveillance System Using Convolution Neural Network. ICTC 2021: 474-476
2020
[c3]
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  - conf/ictc/AkterDTLK20
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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

2010 – 2019

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2019
[c2]
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Godwin Brown Tunze, Rubina Akter, Gaspard Gashema, Jae-Min Lee, Dong-Seong Kim:
Fire Disaster Notification Management(FDNM) for Military Storage and Supply Operation Centers. ICTC 2019: 758-761
[c1]
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Rubina Akter, Sanjay Bhardwaj, Jae-Min Lee, Dong-Seong Kim:
Highly Secured C3I Communication Network Based on Blockchain Technology for Military System. ICTC 2019: 780-783

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