Datasets for Predictive Maintenance

Set of tools to calculate degradation responses and degradation related parameters for PV.

Grayscale release, Service degradation

AAAI22-SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification

DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis

Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can be further studied.

Skeletal Mesh Degradation & Dismemberment System

[ISPRS 23] Deforestation Detection in the Amazon with Sentinel-1 SAR Image Time Series

R package for fitting kinetic models with one or more state variables to chemical degradation data

URL-fuse is a configurable URL curcuit breaker for nginx, it's powered by open-resty.

Neurorobotic Simulations on the Degradation of Multiple Column Liquid State Machines

The code that powers my thesis

A RR Model of Image Quality Assessment

Official Implementation of "Deep Hybrid Model for Fault Diagnosis of Ship's Main Engine"

qSVA adapted for 2 brain regions as part of the BrainSeq Phase II project

Automate degradation of a service or feature when a failure threshold has passed. Coordinates multiple instances via Redis.

An interpretable battery health engine that detects hidden points of no return instead of just predicting health %. It models stress, buffer, and degradation intensity, discovers Stable/Drifting/Irreversible regimes via GMM, and learns simple Decision Tree thresholds, with a Streamlit app for diagnostics and what-if scenarios.

Image restoration in spatial domain

A Streamlit-based application for fitting and visualizing pseudo-first-order kinetic models in photocatalytic degradation studies. Includes support for experimental parameter input, real-time plotting, and basic error analysis.

Add randomizable real Degradations/Compression Artifacts in Vapoursynth.