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20162026
most citedGenerative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction

67 citations

Showing 2026Show all

7 papers · 1 filter

cs.NI2026

Modulating Retroreflector-Aided UAV-Based FSO/QKD Systems

Duy N. Luong, Duy-Tuan Dao, Cuong T. Nguyen +2

Unmanned aerial vehicles (UAVs)-based free-space optics (FSO)/quantum key distribution (QKD) systems require high-precision pointing mechanisms. This increases system complexity an…

quant-ph2026

Transformer fault diagnosis using an efficient simulation-driven variational quantum classifier with domain-aware feature encoding

Huy Hoang Le, Ba Tu Phung, Dai Huynh +1

Early transformer fault diagnosis is challenged by nonlinear dissolved-gas interactions, overlapping fault signatures, and limited labeled data, while practical deployment further…

cs.AI2026

Optimized Fuzzy Logic Approach with the IEEE Key Gas Method for Diagnosing Power Transformer Faults Using Dissolved Gas Analysis

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

Reliable transformer fault diagnosis is essential for maintaining power system stability. The IEEE Key Gas Method (KGM), a widely utilized approach in Dissolved Gas Analysis (DGA),…

cs.LG2026★ 4 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.CL2026

Toward Real-Time Sentence-Level Sign Language Translation

Thanh-Hoang Nguyen Doan

Most sign language understanding systems operate at the level of isolated signs, limiting their usefulness in natural communication. We study sentence-level sign language translati…