Khoa Tran

According to our database, Khoa Tran authored at least 24 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SeqBattNet: A Discrete-State Physics-Informed Neural Network with Aging Adaptation for Battery Modeling.

Khoa Tran, Hung-Cuong Trinh, Vy-Rin Nguyen, T. Nguyen-Thoi, Vin Nguyen-Thai

CoRR, September, 2025

GCN-TULHOR: Trajectory-User Linking Leveraging GCNs and Higher-Order Spatial Representations.

Khoa Tran, Pranav Gupta, Manos Papagelis

CoRR, September, 2025

End-to-End Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries.

Khoa Tran, Tri Le, Bao Huynh, Hung-Cuong Trinh, Vy-Rin Nguyen

CoRR, May, 2025

A robust deep learning system for motor bearing fault detection: leveraging multiple learning strategies and a novel double loss function.

Khoa Tran, Lam Pham, Vy-Rin Nguyen, Ho-Si-Hung Nguyen

Signal Image Video Process., April, 2025

HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction.

Khoa Tran, Bao Huynh, Tri Le, Lam Pham, Vy-Rin Nguyen

CoRR, March, 2025

Lie Group Variational Collision Integrators for a Class of Hybrid Systems.

Khoa Tran, Melvin Leok

SIAM J. Appl. Dyn. Syst., 2025

Fairness and Robustness in Machine Unlearning.

Khoa Tran, Simon S. Woo

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Sing-On-Your-Beat: Simple Text-Controllable Accompaniment Generations.

Quoc-Huy Trinh, Minh-Van Nguyen, Trong-Hieu Nguyen Mau, Khoa Tran, Thanh Do

CoRR, 2024

Uniform C^k Approximation of G-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations.

Soumya Ganguly, Khoa Tran, Rahul Sarkar

CoRR, 2024

Blockchain and Encrypted NFTs: A New Paradigm for Intellectual Property Rights Management.

Trung Phan Huynh Tuan, Khoa Tran, Khiem Huynh, Loc Van Cao Phu, Ngan Nguyen, Nam Tran Ba, Hieu Doan Minh, Anh The Nguyen

Proceedings of the Web Information Systems Engineering - WISE 2024 PhD Symposium, Demos and Workshops, 2024

Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments.

Kehan Long, Khoa Tran, Melvin Leok, Nikolay Atanasov

Proceedings of the American Control Conference, 2024

2023

Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function.

Khoa Tran, Lam Pham, Hai Canh Vu

CoRR, 2023

Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines.

Khoa Tran, Hai Canh Vu, Lam Pham, Nassim Boudaoud

CoRR, 2023

2022

Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context.

Lam Pham, Dusan Salovic, Anahid N. Jalali, Alexander Schindler, Khoa Tran, Hai Canh Vu, Phu X. Nguyen

CoRR, 2022

Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network.

Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler

CoRR, 2022

High-order symplectic Lie group methods on SO(n) using the polar decomposition.

Xuefeng Shen, Khoa Tran, Melvin Leok

CoRR, 2022

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices.

Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler

Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

Comparison of Particle Swarm Optimization and Genetic Algorithm for Ultrasound Estimation of Carotid Intima-Media Thickness Using Matching Pursuit.

Khoa Tran, Sreeraman Rajan, Yuu Ono

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies.

Lam Pham, Dat Ngo, Khoa Tran, Truong Van Hoang, Alexander Schindler, Ian McLoughlin

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Wearable Ultrasound Assessment of Lung Sliding in M-Mode: A Phantom Simulation-Based Study.

Khoa Tran, Sazedur Rahman, Yuu Ono, Sreeraman Rajan, Robert Arntfield

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021

Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes.

David Lovell, Bridget McCarron, Brendan Langfield, Khoa Tran, Andrew P. Bradley

Proceedings of the Data Mining, 2021

2020

Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds.

Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen

CoRR, 2020

2016

Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction.

Stephen Makonin, Daniel McVeigh, Wolfgang Stuerzlinger, Khoa Tran, Fred Popowich

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Automatic Tweet Generation From Traffic Incident Data.

Khoa Tran, Fred Popowich

Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web, 2016