2 citations · 4 across the 14 of their papers we have counts for
17 papers
AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models
Bao-Phong Nguyen, Gia-Khanh Pham, Thai-Duong Do +7
The increasing complexity and scale of modern cyber-attacks demand intelligent and computationally efficient Intrusion Detection Systems (IDS). However, designing effective data pr…
GateSPINE: Gated Cross-View Fusion for Lumbar Spine MRI Report Generation
Hoang Nguyen Van, Cuong Vuong Tuan, Trang Mai Xuan +3
Automated report generation can ease the burden radiolo gists face when interpreting multi-sequence MRI studies. Unlike CT, MRI examinations comprise multiple sequences and imaging…
HERMES: Contrast-Aware Knowledge Graph Reasoning from Clinical Notes for Patient Outcome Prediction
Gia-Bach Nguyen, Hoang-Ha Nguyen, Tuan-Cuong Vuong +5
Clinical predictive models often rely on structured Electronic Health Record data, such as time-series and procedure codes. While recent approaches have begun leveraging unstructur…
DeepHSIC: Deep Learning-based Signal Detector for Hybrid Downlink IM-NOMA
Dung Nguyen Tran, Toan D. Gian, Tien-Hoa Nguyen +3
DeepHSIC is introduced as a neural receiver for hybrid downlink IM-NOMA transmission. The considered scheme combines power-domain NOMA with a composite OFDM/OFDM-IM waveform, so th…
Conversational versus Dashboard Explainable AI for UAV Intrusion Detection: An Empirical Study of Operator Trust and Reliance
Cong Chi Nguyen, Trang Mai Xuan, Vu-Duc Ngo +3
Machine learning-based Intrusion Detection Systems (IDS) have demonstrated superior performance in securing Unmanned Aerial Vehicle (UAV) networks. However, the 'black-box' nature…
Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs
Hai-Nam Duy Vuong, Duy-Anh Bui, Trong-Nghia Nguyen +5
The electrocardiogram (ECG) is a cornerstone of cardiac as- sessment, yet clinical deployment of deep learning models remains con- strained by limited interpretability and the hall…
CrossSpine: Multi-scale Cross-sequence Attention with Anatomical Priors for Automated Pfirrmann Grading
Hai Son Nguyen, Duong Ngoc Vu, Trong-Nghia Nguyen +5
Automated grading of Lumbar Disc Degeneration is essential for the objective quantification of structural changes associated with low back pain. Observing that baseline models unde…
PhenSPINE: A Standardized Benchmark for Spine Pathology Diagnosis
Duong Ngoc Vu, Hai Son Nguyen, Trong-Nghia Nguyen +4
The accurate diagnosis of spinal pathologies depends heavily on radiological interpretation, yet automated systems are hindered by the lack of diverse, high-quality benchmarks. In…
Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs
Huu Tuong Tu, Hanh Nguyen, Thien Van Luong +3
Mispronunciation Detection and Diagnosis (MDD) has gained increasing importance in computer-assisted language learning and speech technology in recent years. In this paper, we prop…
Mispronunciation Detection and Diagnosis Without Model Training: A Retrieval-Based Approach
Huu Tuong Tu, Ha Viet Khanh, Tran Tien Dat +4
Mispronunciation Detection and Diagnosis (MDD) is crucial for language learning and speech therapy. Unlike conventional methods that require scoring models or training phoneme-leve…
After-Fatigue Condition: A Novel Analysis Based on Surface EMG Signals
Van Hieu Nguyen, Gia Thien Luu, Thien Van Luong +3
This study introduces a novel muscle activation analysis based on surface electromyography (sEMG) signals to assess the muscle's after-fatigue condition. Previous studies have main…
Transformer-Based Deep Learning Detector for Dual-Mode Index Modulation 3D-OFDM
Toan Gian, Tien-Hoa Nguyen, Trung Tan Nguyen +2
In this paper, we propose a deep learning-based signal detector called TransD3D-IM, which employs the Transformer framework for signal detection in the Dual-mode index modulation-a…
Machine Learning-Based Intrusion Detection: Feature Selection versus Feature Extraction
Vu-Duc Ngo, Tuan-Cuong Vuong, Thien Van Luong +1
Internet of things (IoT) has been playing an important role in many sectors, such as smart cities, smart agriculture, smart healthcare, and smart manufacturing. However, IoT device…
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink
Thien Van Luong, Nir Shlezinger, Chao Xu +3
Non-orthogonal communications are expected to play a key role in future wireless systems. In downlink transmissions, the data symbols are broadcast from a base station to different…
Generalized BER of MCIK-OFDM with Imperfect CSI: Selection combining GD versus ML receivers
Vu-Duc Ngo, Thien Van Luong, Nguyen Cong Luong +3
This paper analyzes the bit error rate (BER) of multicarrier index keying - orthogonal frequency division multiplexing (MCIK-OFDM) with selection combining (SC) diversity reception…
Enhancing Diversity of OFDM with Joint Spread Spectrum and Subcarrier Index Modulations
Vu-Duc Ngo, Thien Van Luong, Nguyen Cong Luong +4
This paper proposes a novel spread spectrum and sub-carrier index modulation (SS-SIM) scheme, which is integrated to orthogonal frequency division multiplexing (OFDM) framework to…
Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems
Thien Van Luong, Youngwook Ko, Ngo Anh Vien +2
We propose a novel deep energy autoencoder (EA) for noncoherent multicarrier multiuser single-input multipleoutput (MU-SIMO) systems under fading channels. In particular, a single-…