IEEE

EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems

Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...
GitHub

Decomp-Parsing-Service is a Python module that transforms abstract static analysis results into intermediate representations that can be used to suggest a decomposition of a ...

The Parsing Service interacts with the static analysis tools that generate abstract representations in the form of TypeData, methodData and invocationData. This service transforms these results into ...
IEEE

Antinoise Bearing Fault Diagnosis Using Time-Reassigned Multisynchrosqueezing Transform and Complex Sparse Learning Dictionary

Abstract: Bearings are core components of rotating machinery, and their operating status monitoring and fault diagnosis are crucial for equipment health management. Accurately identifying fault ...
GitHub

DAPS: Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing (CVPR 2025 Oral)

We propose a new method called Decoupled Annealing Posterior Sampling (DAPS) that relies on a novel noise annealing process to solve posterior sampling with diffusion prior. Specifically, we decouple ...