tag:joss.theoj.org,2005:/papers/tagged/FARSJournal of Open Source Software2023-06-28T13:27:59ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44432023-06-28T13:27:59Z2023-06-29T00:01:27ZFOXES: Farm Optimization and eXtended yield Evaluation Softwareacceptedv0.3.42023-04-21 06:28:53 UTC862023-06-28 13:27:59 UTC820235464JonasSchmidtFraunhofer IWES, Küpkersweg 70, 26129 Oldenburg, Germany0000-0002-8191-8141LukasVollmerFraunhofer IWES, Küpkersweg 70, 26129 Oldenburg, GermanyMartinDörenkämperFraunhofer IWES, Küpkersweg 70, 26129 Oldenburg, Germany0000-0002-0210-5733BernhardStoevesandtFraunhofer IWES, Küpkersweg 70, 26129 Oldenburg, Germany0000-0001-6626-108410.21105/joss.05464https://doi.org/10.5281/zenodo.8027929Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05464.pdfwind energy, wind turbine wakes, wake modelling, wind farm optimizationtag:joss.theoj.org,2005:Paper/36972022-11-07T08:51:46Z2022-11-08T00:00:50Zfars_cleaner: A Python package for downloading and pre-processing vehicle fatality data in the USacceptedv1.2.02022-07-01 16:28:22 UTC792022-11-07 08:51:46 UTC720224678MitchellZ.AbramsDuke University, USA0000-0001-6818-5214CameronR.BassDuke University, USA10.21105/joss.04678https://doi.org/10.5281/zenodo.7249980Pythonhttps://joss.theoj.org/papers/10.21105/joss.04678.pdfFARS, NHTSA, vehicle crash analysis, crashes, road safetytag:joss.theoj.org,2005:Paper/36542022-09-13T15:49:28Z2022-09-14T00:00:58Zdyntapy: dynamic and static traffic assignment in Pythonacceptedv0.2.12022-06-13 16:14:54 UTC772022-09-13 15:49:28 UTC720224593PaulOrtmannKU Leuven, Belgium0000-0002-1451-3662ChrisM.j.TampèreKU Leuven, Belgium0000-0002-5489-781610.21105/joss.04593https://doi.org/10.5281/zenodo.7062273Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.04593.pdfdynamic traffic assignment, static traffic assignment, transport modeling, car traffic modelingtag:joss.theoj.org,2005:Paper/15232021-02-26T16:01:32Z2021-03-01T07:32:02ZOpenOA: An Open-Source Codebase For Operational Analysis of Wind Farmsacceptedv12020-02-19 23:07:10 UTC582021-02-26 16:01:32 UTC620212171JordanPerr-SauerNational Renewable Energy Laboratory, Golden, CO, USA0000-0003-1571-1887MikeOptisNational Renewable Energy Laboratory, Golden, CO, USA0000-0001-5617-6134JasonM.FieldsNational Renewable Energy Laboratory, Golden, CO, USA0000-0002-8781-6138NicolaBodiniNational Renewable Energy Laboratory, Golden, CO, USA0000-0002-2550-9853JosephC.y.LeeNational Renewable Energy Laboratory, Golden, CO, USA0000-0003-1897-6290AustinToddNational Renewable Energy Laboratory, Golden, CO, USA0000-0002-1123-0982EricSimleyNational Renewable Energy Laboratory, Golden, CO, USA0000-0002-1027-9848RobertHammondNational Renewable Energy Laboratory, Golden, CO, USA0000-0003-4476-6406CalebPhillipsNational Renewable Energy Laboratory, Golden, CO, USAMonteLunacekNational Renewable Energy Laboratory, Golden, CO, USA0000-0003-3755-224XTravisKemperNational Renewable Energy Laboratory, Golden, CO, USALindyWilliamsNational Renewable Energy Laboratory, Golden, CO, USAAnnaCraigNational Renewable Energy Laboratory, Golden, CO, USANathanAgarwalNational Renewable Energy Laboratory, Golden, CO, USA0000-0002-2734-5514ShawnShengNational Renewable Energy Laboratory, Golden, CO, USA0000-0003-0134-0907JohnMeissnerNational Renewable Energy Laboratory, Golden, CO, USA10.21105/joss.02171https://doi.org/10.5281/zenodo.4549876Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02171.pdfwind energy, operational analysis, data analysis, standardizationtag:joss.theoj.org,2005:Paper/12112020-05-19T10:48:52Z2021-02-15T11:31:38ZFAT Forensics: A Python Toolbox for Implementing and
Deploying Fairness, Accountability and Transparency
Algorithms in Predictive Systemsaccepted0.0.12019-09-12 18:40:55 UTC492020-05-19 10:48:52 UTC520201904KacperSokolDepartment of Computer Science, University of Bristol0000-0002-9869-5896AlexanderHepburnDepartment of Engineering Mathematics, University of BristolRafaelPoyiadziDepartment of Engineering Mathematics, University of BristolMatthewCliffordDepartment of Engineering Mathematics, University of BristolRaulSantos-RodriguezDepartment of Engineering Mathematics, University of Bristol0000-0001-9576-3905PeterFlachDepartment of Computer Science, University of Bristol0000-0001-6857-581010.21105/joss.01904https://doi.org/10.5281/zenodo.3833199Pythonhttps://joss.theoj.org/papers/10.21105/joss.01904.pdfFairness, Accountability, Transparency, Artificial Intelligence, Machine Learning, Software, Python Toolboxtag:joss.theoj.org,2005:Paper/8922019-02-17T02:00:59Z2021-02-15T11:32:31Ztqdm: A Fast, Extensible Progress Meter for Python and CLIretractedv4.31.12019-02-17 02:00:59 UTC