Datasets for Predictive Maintenance
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Updated
May 8, 2025 - Jupyter Notebook
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Datasets for Predictive Maintenance
Grayscale release, Service degradation
Set of tools to calculate degradation responses and degradation related parameters for PV.
AAAI22-SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification
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.
DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis
R package for fitting kinetic models with one or more state variables to chemical degradation data
[ISPRS 23] Deforestation Detection in the Amazon with Sentinel-1 SAR Image Time Series
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
Automate degradation of a service or feature when a failure threshold has passed. Coordinates multiple instances via Redis.
qSVA adapted for 2 brain regions as part of the BrainSeq Phase II project
Image restoration in spatial domain
Progressively degrade your samples/tracks with a single knob.
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.
Isolate the degradation product of fluoro-nucleosides
Interpretability Metrics
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