Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
Soft sensor modelling using multiple machine learning algorithms
This repository contains code for an LSTM-based soft sensor designed to estimate nitrate concentration in aquaponics ponds, offering real-time insights into water quality for improved management and sustainability.
Reproducible deep-learning image-classification pipeline for industrial soft sensing. Originally built for sludge-cake quality monitoring at DC Water Blue Plains AWWTP. Six architectures (FastViT, EfficientNet, MobileNet, EfficientFormerV2, DeepTEN-ResNet, sparse-AE CNN) compared with multi-seed statistics on Modal cloud GPUs.
MATLAB code for simulating and analyzing the static performance of Variable Stiffness Soft Pneumatic Sensing Chambers (VSSPSCs).
Add a description, image, and links to the soft-sensor topic page so that developers can more easily learn about it.
To associate your repository with the soft-sensor topic, visit your repo's landing page and select "manage topics."