From b6f3501a1ae56ef9876f2d6f204ee1aca51955bc Mon Sep 17 00:00:00 2001 From: ur8d Date: Fri, 21 Jun 2024 11:26:57 -0300 Subject: [PATCH 1/2] Add 1 citation --- LIST_OF_CITATIONS.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/LIST_OF_CITATIONS.md b/LIST_OF_CITATIONS.md index 49ab43e3..1e7f77e9 100644 --- a/LIST_OF_CITATIONS.md +++ b/LIST_OF_CITATIONS.md @@ -170,3 +170,5 @@ Journal of Computational and Applied Mathematics. 2020. https://doi.org/10.1016/ 1. A.P.F. Machado. Methodologies to Improve One-Class Classifier Performance Applied to Multivariate Time Series. Universidade Federal do Espírito Santo. Doctoral thesis. 2024. https://github.com/petrobras/3W/raw/main/docs/doctoral_thesis_andre_machado.pdf. 1. E.M. Turan. Advances in Optimisation and Machine Learning for Process Systems Engineering. Norwegian University of Science and Technology. Doctoral thesis. 2024. https://github.com/petrobras/3W/raw/main/docs/doctoral_thesis_evren_turan.pdf. + +1. T.L.B. Dias, M.A. Marins, C.L. Pagliari, R.M.E. Barbosa, M.L.R. de Campos, E.A.B. Silva, S.L.Netto. Development of Oilwell Fault Classifiers Using a Wavelet-Based Multivariable Approach in a Modular Architecture. Society of Petroleum Engineers Journal. 2024. https://doi.org/10.2118/221463-PA. \ No newline at end of file From 71c73c9c7cebcdd6d24c035bbf4de290b31d5018 Mon Sep 17 00:00:00 2001 From: ur8d Date: Fri, 21 Jun 2024 11:39:51 -0300 Subject: [PATCH 2/2] Replace recomendation from Anaconda to Miniforge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ef089c11..e3e54f23 100644 --- a/README.md +++ b/README.md @@ -159,7 +159,7 @@ For a contribution of yours to be listed here, follow the instructions detailed ## Reproducibility -For all results generated by the 3W toolkit to be consistent, we recommend you create and use a virtual environment with the packages versions specified in the [environment.yml](environment.yml), which was generated with [conda](https://docs.conda.io). First you have to install the [Anaconda](https://anaconda.org/). Then open an Anaconda Prompt, make sure the current directory is the directory where you have the 3W and run the following commands as needed: +For all results generated by the 3W toolkit to be consistent, we recommend you create and use a virtual environment with the packages versions specified in the [environment.yml](environment.yml), which was generated with [conda](https://docs.conda.io). Our current recommendation is to use the conda distributed by [Miniforge](https://conda-forge.org/download/). Download and install Miniforge according to the official instructions. Open a prompt on your operating system (Windows, Linux or MacOS). Make sure the current directory is the directory where you have the 3W. Run the following commands as needed: * To create a virtual environment from our [environment.yml](environment.yml): ```