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eth-machine-learning-summary

We cherry-pick the most understandable explanations and definitions into one summary to summarize the content of the lecture about Machine Learning of Prof. Joachim Buhmann.

eth-ml-project

Projects for the Machine Learning lecture at ETH Zürich (HS17)

eulers-method

Euler's method (with system of differentials) on example reactor.

f15-06623

Mathmatical Modeling of Chemical Engineering Processes

f17-06625

Chemical and Reactive Systems for Fall 2017

f17bem

For f17 12-752 data-driven building energy management

fault-diagnosis

Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks

fcmlcode

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

final-project

Activated Sludge Process by Anaerobic Digestion

find-internal-rate-of-return

Find Internal Rate of Return of a Cash Flow.

finding-balance-between-corrective-and-preventative-maintenance-using-predictive-maintenance

Use supervised machine learning techniques to minimize the risk of unscheduled equipment downtime in the sector of manufacturing and help allocate limited maintenance resources in a cost-effective way to ensure smooth supply chain processes.

finite-difference-solution-to-1d-convection-diffusion-equation

In this repository you can find scripts to solve dimensionless 1D convection-diffusion equation w/ and w/o Langmuir adsorption using finite difference method. Moreover, the least square script is to estimate peclet number and Langmuir constants (k and beta) by fitting the model to adsorption experimental data. Formulation and discretization are provided in the pdf file.

fluent_udf_reactions

fluid-mechanics

fluidised-bed-membrane-reactor

fluidlearn

Software to solve PDEs and estimate physical parameters governing fluid flow using Deep learning techniques.

foundations-of-artificial-intelligence

My solutions for Computer Science 4700 at Cornell University

ft-reactive-distillation-pyomo

Building a Fischer–Tropsch reactive distillation simulator using Pyomo

ft_prod_ref_ms_project

ft_rd_pyomo

Fischer--Tropsch reactive distillation model using PYOMO

fuel_cells

Fuel Cell Models

gas-compressor-failure-prediction

Using fully connected NN with "sparse auto encoder" trained weights to predict the condition of the gas compressor.

gasflow_prediction_biogasplant

gasification

Python library for gasification processes using Cantera package

gasifier_analysis

Code to analyze gasifier results and create reports

gasifier_memos

Reports and memos for laboratory gasifier

gasturbine-rul-prediction

glue

Linked Data Visualizations Across Multiple Files

gopem

GUI for OPEM library