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).
Projeto de ciência de dados em construção: soft sensor industrial para estimar pureza de produto via séries temporais e scikit-learn. Desenvolvido módulo a módulo (EDA → features → modelagem → produção).
A soft-sensor benchmark for evaluating adaptive scaffolding in LLM-based programming tutors (Sensors, MDPI, 2026)
Machine learning-based soft sensor for predicting debutanizer column product composition using industrial process variables and regression models.
Integrated Process Intelligence System — hybrid soft sensors, predictive maintenance, and RTO for chemical process manufacturing
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