tag:joss.theoj.org,2005:/papers/tagged/assessmentJournal of Open Source Software2024-03-26T05:48:51ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/49422024-03-26T05:48:51Z2024-03-27T00:01:20Zbonsai_ipcc - a Python package for the calculation of national greenhouse gas inventoriesacceptedv0.2.02023-11-17 11:04:24 UTC952024-03-26 05:48:51 UTC920246123MaikBudzinskiDepartment of Sustainability and Planning, Aalborg University, Denmark.0000-0003-2879-1193JoaoF.d.Rodrigues2.-0 LCA consultants, Aalborg, Denmark.0000-0002-1437-0059MathieuDelpierre2.-0 LCA consultants, Aalborg, Denmark.10.21105/joss.06123https://doi.org/10.5281/zenodo.10822520Pythonhttps://joss.theoj.org/papers/10.21105/joss.06123.pdfgreenhouse gases, life cycle assessment, climate changetag:joss.theoj.org,2005:Paper/46832024-03-09T08:42:01Z2024-03-10T00:01:18ZPerMetrics: A Framework of Performance Metrics for Machine Learning Modelsacceptedv1.4.22023-08-08 05:27:41 UTC952024-03-09 08:42:01 UTC920246143NguyenVan ThieuFaculty of Computer Science, Phenikaa University, Yen Nghia, Ha Dong, Hanoi, 12116, Vietnam.0000-0001-9994-874710.21105/joss.06143https://doi.org/10.5281/zenodo.3951205Pythonhttps://joss.theoj.org/papers/10.21105/joss.06143.pdfmodel assessment tools, performance metrics, classification validation metrics, regression evaluation criteria, clustering criterion indices, machine learning metricstag:joss.theoj.org,2005:Paper/44002024-03-05T10:10:26Z2024-03-06T00:00:49ZWorldDynamics.jl: A Julia Package for Developing and Simulating Integrated Assessment Modelsacceptedv0.4.22023-04-13 20:15:11 UTC952024-03-05 10:10:26 UTC920245772PierluigiCrescenziGran Sasso Science Institute, L’Aquila, Italy, COATI, INRIA d’Université Côte d’Azur, Sophia Antipolis, France0000-0001-8789-3195EmanueleNataleCOATI, INRIA d’Université Côte d’Azur, Sophia Antipolis, France0000-0002-8755-3892AuroraRossiCOATI, INRIA d’Université Côte d’Azur, Sophia Antipolis, France0009-0001-3302-0468PauloBrunoSerafimGran Sasso Science Institute, L’Aquila, Italy0000-0002-5980-814910.21105/joss.05772https://doi.org/10.5281/zenodo.10684579Juliahttps://joss.theoj.org/papers/10.21105/joss.05772.pdfIntegrated Assessment Model, Modeling and Simulation, Scientific Computingtag:joss.theoj.org,2005:Paper/47092024-01-11T21:50:53Z2024-01-12T00:01:08ZOpen-Source Pattern Creation Tool for Medical Extended Reality Image Quality Assessmentacceptedv1.02023-08-18 18:32:57 UTC932024-01-11 21:50:53 UTC920246021BrendanCollinsDivision of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, Silver Spring, MD, United States, Department of Computer Science, University of Maryland, College Park, MD, United States0000-0002-1529-5900RyanBeamsDivision of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, Silver Spring, MD, United States0000-0003-2592-6064MiguelLagoDivision of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U. S. Food and Drug Administration, Silver Spring, MD, United States0000-0002-7829-957010.21105/joss.06021https://doi.org/10.5281/zenodo.10463335JavaScript, Less, SCSShttps://joss.theoj.org/papers/10.21105/joss.06021.pdfJavascript, HTML, CSS, WebXR, A-Frame, Virtual Reality, VR, Image Quality, Pattern Creationtag:joss.theoj.org,2005:Paper/46062023-11-06T16:28:16Z2023-11-07T00:00:17Zmeasr: Bayesian psychometric measurement using Stanacceptedv0.3.12023-07-14 20:06:08 UTC912023-11-06 16:28:16 UTC820235742W.JakeThompsonAccessible, Teaching, Learning, and Assessment Systems, University of Kansas0000-0001-7339-030010.21105/joss.05742https://doi.org/10.5281/zenodo.10058365R, Stan, C++https://joss.theoj.org/papers/10.21105/joss.05742.pdfbayesian-modeling, educational-assessment, psychometrics, diagnostic-modelingtag:joss.theoj.org,2005:Paper/36912023-10-30T17:32:02Z2023-10-31T00:00:38ZSSMSE: An R package for Management Strategy Evaluation with Stock Synthesis Operating Modelsacceptedv0.2.62022-06-29 16:01:56 UTC902023-10-30 17:32:02 UTC820234937KathrynL.DoeringCaelum Research Corporation in support of Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA0000-0002-0396-7044NathanR.VaughanVaughan Analytics in support of Southeast Fisheries Science Center, National Oceanic and Atmospheric Administration, Miami, FL0009-0000-3054-6950JohnF.WalterSoutheast Fisheries Science Center, National Oceanic and Atmospheric Administration, Miami, FLRichardD.MethotNOAA Senior Scientist for Stock Assessments, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WASkylerR.SagareseSoutheast Fisheries Science Center, National Oceanic and Atmospheric Administration, Miami, FL0000-0002-6631-0103MatthewSmithSoutheast Fisheries Science Center, National Oceanic and Atmospheric Administration, Miami, FLNicholasA.FarmerSoutheast Regional Office, National Oceanic and Atmospheric Administration, St. Petersburg, FLShannonCalaySoutheast Fisheries Science Center, National Oceanic and Atmospheric Administration, Miami, FLNancieJ.CummingsSoutheast Fisheries Science Center, National Oceanic and Atmospheric Administration, Miami, FLKelliF.JohnsonNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA0000-0002-5149-451XKristinMarshallNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WACassidyD.PetersonSoutheast Fisheries Science Center, National Oceanic and Atmospheric Administration, Beaufort, NC0000-0002-0836-3039IanG.TaylorNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA0000-0002-4232-5669ChantelR.WetzelNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA0000-0002-7573-824010.21105/joss.04937https://doi.org/10.5281/zenodo.10014307Rhttps://joss.theoj.org/papers/10.21105/joss.04937.pdfManagement Strategy Evaluation, fisheries, Stock Synthesis, stock assessmenttag:joss.theoj.org,2005:Paper/43732023-09-08T21:51:41Z2023-09-09T17:43:20ZA Python Tool for Predicting and Assessing Unconventional Rare-Earth and Critical Mineral Resourcesacceptedv1.0.02023-03-29 21:51:56 UTC892023-09-08 21:51:41 UTC820235500PatrickWingoNational Energy Technology Laboratory (NETL), USA, NETL Support Contractor, USA0000-0003-3934-7733DevinJustmanNational Energy Technology Laboratory (NETL), USA, NETL Support Contractor, USAC.GabrielCreasonNational Energy Technology Laboratory (NETL), USA, Oak Ridge Institute for Science and Education (ORISE), USA0000-0002-3440-1174MackenzieMark-MoserNational Energy Technology Laboratory (NETL), USA, NETL Support Contractor, USA0000-0001-5138-5527ScottMontrossNational Energy Technology Laboratory (NETL), USA, NETL Support Contractor, USA0000-0002-6551-7700KellyRoseNational Energy Technology Laboratory (NETL), USA0000-0001-6130-472710.21105/joss.05500https://doi.org/10.5281/zenodo.8319843Pythonhttps://joss.theoj.org/papers/10.21105/joss.05500.pdfRare-Earth Elements, Geology, Coal Formations, subsurfacetag:joss.theoj.org,2005:Paper/41082023-06-20T12:25:23Z2023-06-21T00:01:18ZPII-Codex: a Python library for PII detection, categorization, and severity assessmentaccepted0.4.32022-12-30 15:44:56 UTC862023-06-20 12:25:23 UTC820235402EidanJ.RosadoCollege of Computing and Engineering, Nova Southeastern University, Fort Lauderdale, FL 33314, USA0000-0003-0665-098X10.21105/joss.05402https://doi.org/10.5281/zenodo.8053039Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05402.pdfPII, PII topology, risk categories, personal identifiable informationtag:joss.theoj.org,2005:Paper/41502023-03-29T11:52:06Z2023-03-30T00:03:07Zunfold: removing the barriers to sharing and reproducing prospective life-cycle assessment databasesaccepted1.0.02023-01-05 17:49:49 UTC832023-03-29 11:52:06 UTC820235198RomainSacchiPaul Scherrer Institute, Villigen, Switzerland0000-0003-1440-090510.21105/joss.05198https://doi.org/10.5281/zenodo.7777717Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05198.pdflife cycle assessment, prospective, database, premise, scenariotag:joss.theoj.org,2005:Paper/35972022-10-14T15:44:28Z2022-10-15T00:00:39ZRELSAD: A Python package for reliability assessment of modern distribution systemsacceptedv0.0.12022-05-11 16:20:37 UTC782022-10-14 15:44:28 UTC720224516StineFleischerMyhreDepartment of Electric Power Engineering, NTNU, Trondheim, Norway0000-0002-2283-1724OlavBjarteFossoDepartment of Electric Power Engineering, NTNU, Trondheim, Norway0000-0002-3460-5839PoulEinarHeegaardDepartment of Information Security and Communication Technology, NTNU, Trondheim, Norway0000-0003-0083-5860OddbjørnGjerdeSINTEF Energy Research, Trondheim, Norway0000-0002-7978-747X10.21105/joss.04516https://doi.org/10.5281/zenodo.7195034Pythonhttps://joss.theoj.org/papers/10.21105/joss.04516.pdfElectrical engineering, Monte Carlo, Reliability, Smart grid