A new technique for high-resolution frequency domain optical coherence tomography

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A new technique for high-resolution frequency domain optical coherence tomography

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Spectral Estimators for High-Dimensional Matrix Inference

Partial discharge localization in power transformer tanks using machine learning methods

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

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Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

Multi-Frequency Tracking via Group-Sparse Optimal Transport

Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Disentangling Thermal from Electronic Contributions in the Spectral Response of Photoexcited Perovskite Materials

Optimal Depth of Discharge for Electric Batteries with Robust Capacity-Shrinkage Estimator

Timing and spatial selection bias in rapid extreme event attribution

State-Based Versus Time-Based Estimation of the Gait Phase for Hip Exoskeletons in Steady and Transient Walking

Quantization for Decentralized Learning Under Subspace Constraints

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

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