Khoa Tran

31 papers A* 1C 2Misc 1Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries.
IEEE Access
Khoa Tran, Tri Le, Bao Huynh, Hung-Cuong Trinh, Vy-Rin Nguyen, T. Nguyen-Thoi, Vin Nguyen-Thai
2025 J jnl
A robust deep learning system for motor bearing fault detection: leveraging multiple learning strategies and a novel double loss function.
Signal Image Video Process.
Khoa Tran, Lam Pham, Vy-Rin Nguyen, Ho Si Hung Nguyen
2025 J jnl
End-to-End Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries.
CoRR
Khoa Tran, Tri Le, Bao Huynh, Hung-Cuong Trinh, Vy-Rin Nguyen
2025 A* conf
Enhancing Endoscopic Image Retrieval via Self-Supervised Learning and Large VLM-Based Re-ranking.
ACM Multimedia
Khoa Tran, Linh Ly, Duy Khanh Ho, Ngoc Hoang Luong
2025 — conf
Evolutionary Black-box Patch Attacks on Face Verification.
GECCO Companion
Khoa Tran, Linh Ly, Ngoc Hoang Luong
2025 — conf
Fairness and Robustness in Machine Unlearning.
WWW (Companion Volume)
Khoa Tran, Simon S. Woo
2025 J jnl
Fairness and Robustness in Machine Unlearning.
CoRR
Khoa Tran, Simon S. Woo
2025 J jnl
GCN-TULHOR: Trajectory-User Linking Leveraging GCNs and Higher-Order Spatial Representations.
CoRR
Khoa Tran, Pranav Gupta, Manos Papagelis
2025 J jnl
HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction.
CoRR
Khoa Tran, Bao Huynh, Tri Le, Lam Pham, Vy-Rin Nguyen
2025 J jnl
Lie Group Variational Collision Integrators for a Class of Hybrid Systems.
SIAM J. Appl. Dyn. Syst.
Khoa Tran, Melvin Leok
2025 J jnl
SeqBattNet: A Discrete-State Physics-Informed Neural Network with Aging Adaptation for Battery Modeling.
CoRR
Khoa Tran, Hung-Cuong Trinh, Vy-Rin Nguyen, T. Nguyen-Thoi, Vin Nguyen-Thai
2025 — conf
YOLOv8-Based Detection and Classification of Plant Cells in Light Micrographs.
ISVC (1)
Evan Inrig, Yixin Tan, Khoa Tran, Chris Ghim, Jessica Lee, Helen I. Holmlund, Fabien Scalzo
2024 — conf
Blockchain and Encrypted NFTs: A New Paradigm for Intellectual Property Rights Management.
WISE (PhD Symposium, Demos and Workshops)
Trung Phan Huynh Tuan, Khoa Tran, Khiem Huynh, Loc Van Cao Phu, Ngan Nguyen, Nam Tran Ba, Hieu Doan Minh, Anh The Nguyen
2024 C conf
Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments.
ACC
Kehan Long, Khoa Tran, Melvin Leok, Nikolay Atanasov
2024 J jnl
Sing-On-Your-Beat: Simple Text-Controllable Accompaniment Generations.
CoRR
Quoc-Huy Trinh, Minh-Van Nguyen, Trong-Hieu Nguyen Mau, Khoa Tran, Thanh Do
2024 J jnl
Uniform C
CoRR
Soumya Ganguly, Khoa Tran, Rahul Sarkar
2023 J jnl
Lie Group Variational Collision Integrators for a Class of Hybrid Systems.
CoRR
Khoa Tran, Melvin Leok
2023 J jnl
Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines.
CoRR
Khoa Tran, Hai Canh Vu, Lam Pham, Nassim Boudaoud
2023 J jnl
Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function.
CoRR
Khoa Tran, Lam Pham, Hai Canh Vu
2023 J jnl
Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments.
CoRR
Kehan Long, Khoa Tran, Melvin Leok, Nikolay Atanasov
2022 — conf
An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies.
EMBC
Lam Pham, Dat Ngo, Khoa Tran, Truong Van Hoang, Alexander Schindler, Ian McLoughlin
2022 — conf
Comparison of Particle Swarm Optimization and Genetic Algorithm for Ultrasound Estimation of Carotid Intima-Media Thickness Using Matching Pursuit.
MeMeA
Khoa Tran, Sreeraman Rajan, Yuu Ono
2022 J jnl
High-order symplectic Lie group methods on SO(n) using the polar decomposition.
CoRR
Xuefeng Shen, Khoa Tran, Melvin Leok
2022 J jnl
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network.
CoRR
Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler
2022 J jnl
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context.
CoRR
Lam Pham, Dusan Salovic, Anahid N. Jalali, Alexander Schindler, Khoa Tran, Hai Canh Vu, Phu X. Nguyen
2022 C conf
Wearable Ultrasound Assessment of Lung Sliding in M-Mode: A Phantom Simulation-Based Study.
BIBE
Khoa Tran, Sazedur Rahman, Yuu Ono, Sreeraman Rajan, Robert Arntfield
2022 — conf
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices.
MMAsia
Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler
2021 Misc conf
Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes.
AusDM
David Lovell, Bridget McCarron, Brendan Langfield, Khoa Tran, Andrew P. Bradley
2020 J jnl
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds.
CoRR
Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen
2016 — conf
Automatic Tweet Generation From Traffic Incident Data.
WebNLG
Khoa Tran, Fred Popowich
2016 — conf
Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction.
HICSS
Stephen Makonin, Daniel McVeigh, Wolfgang Stuerzlinger, Khoa Tran, Fred Popowich