most citedAn adaptive multi-fuzzy logic model for diagnosing transformer faults using dynamic weight optimization

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cs.LG2026

A Unified Mamba--MoE Surrogate for Closed-Loop Simulation and Measurement-Window Forecasting of Inverter Transients

Haoguang Wang, Huy Hoang Le, Akhila Kandivalasa +3

This paper proposes a Mamba surrogate model with mixture-of-experts (MoE) routing to represent the transient dynamics of inverter-based resources. A Mamba surrogate model is a pred…

cs.LG20264 cited

An adaptive multi-fuzzy logic model for diagnosing transformer faults using dynamic weight optimization

Kim-Anh Nguyen, Huy Hoang Le, Ba Tu Phung

Dissolved gas analysis (DGA) is crucial for diagnosing early power transformer failures. Traditional DGA interpretation methods like Duval Triangle, IEC ratio, Roger ratio, Doernen…

cs.LG2026

Charging Phase Health Indicators for Battery State-of-Health Estimation: A Systematic Comparison of CC, CV, and Combined Approaches under Cross-Battery Validation

Huy Hoang Le, Kim-Anh Nguyen

Accurate State-of-Health estimation is essential for safe battery operation and cost-effective maintenance. Although numerous health indicators have been derived from constant-curr…

cs.LG2026

Generalization bounds and sample complexity for remaining useful life prediction from complete degradation trajectories

Huy Hoang Le, Kim-Anh Nguyen

Data-driven remaining useful life (RUL) prediction requires complete degradation trajectories for training, yet such run-to-failure data are scarce and expensive. Practitioners cur…

cs.LG2026

Physics-Guided Dimension Reduction for Simulation-Free Operator Learning of Stiff Differential-Algebraic Systems

Huy Hoang Le, Haoguang Wang, Christian Moya +2

Neural surrogates for stiff differential-algebraic equations (DAEs) face two barriers: soft-constraint methods leave algebraic residuals that stiffness amplifies into errors, and h…