tag:joss.theoj.org,2005:/papers/tagged/distributed?page=2Journal of Open Source Software2023-04-19T13:58:06ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/39322023-04-19T13:58:06Z2023-04-20T00:02:53Zelapid: Species distribution modeling tools for Pythonacceptedv0.3.142022-10-01 07:11:52 UTC842023-04-19 13:58:06 UTC820234930ChristopherB.AndersonEarth Observation Lab, Planet Labs PBC, San Francisco, CA, USA, Center for Conservation Biology, Stanford University, Stanford, CA, USA0000-0001-7392-436810.21105/joss.04930https://doi.org/10.5281/zenodo.7813017Pythonhttps://joss.theoj.org/papers/10.21105/joss.04930.pdfbiogeography, species distribution modeling, gesopatial analysis, machine learningtag:joss.theoj.org,2005:Paper/39202023-04-17T12:09:49Z2023-04-18T00:02:37ZFAME-Core: An open Framework for distributed Agent-based Modelling of Energy systemsaccepted1.4.12022-09-23 18:25:56 UTC842023-04-17 12:09:49 UTC820235087ChristophSchimeczekGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-0791-9365MarcDeissenroth-UhrigGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany, School of Engineering, University of Applied Sciences Saarbrücken, Goebenstr. 40, 66117 Saarbrücken, Germany0000-0002-9103-418XUlrichFreyGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-9803-1336BenjaminFuchsGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0002-7820-851XA.Achraf ElGhaziGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0001-5064-9148ManuelWetzelGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0001-7838-2414KristinaNienhausGerman Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563 Stuttgart, Germany0000-0003-4180-676710.21105/joss.05087https://doi.org/10.5281/zenodo.7755760Javahttps://joss.theoj.org/papers/10.21105/joss.05087.pdfagent-based, energy systems, modelling framework, parallelisationtag:joss.theoj.org,2005:Paper/41962023-04-11T13:46:32Z2023-04-12T00:03:05ZVisWaterNet: A Python package for visualization of water distribution networksacceptedv1.0.02023-02-07 20:53:54 UTC842023-04-11 13:46:32 UTC820235139MeghnaThomasDepartment of Civil, Architectural and Environmental Engineering, The University of Texas at AustinTylerTrimbleDepartment of Civil, Architectural and Environmental Engineering, The University of Texas at AustinLinaSelaDepartment of Civil, Architectural and Environmental Engineering, The University of Texas at Austin0000-0002-5834-845110.21105/joss.05139https://doi.org/10.5281/zenodo.7799929Pythonhttps://joss.theoj.org/papers/10.21105/joss.05139.pdfNetworkX, Water distribution, Visualizationtag:joss.theoj.org,2005:Paper/39702023-02-21T22:04:59Z2023-02-22T00:00:48ZPhaseTypeR: an R package for phase-type distributions in population geneticsacceptedv1.0.42022-10-18 15:40:06 UTC822023-02-21 22:04:59 UTC820235054IkerRivas-GonzálezBioinformatics Research Centre, Aarhus University, Denmark0000-0002-0515-0628LarsNørvangAndersenDepartment of Mathematics, Aarhus University, Denmark0000-0001-6196-8427AsgerHobolthDepartment of Mathematics, Aarhus University, Denmark0000-0003-4056-128610.21105/joss.05054https://doi.org/10.5281/zenodo.7656038Rhttps://joss.theoj.org/papers/10.21105/joss.05054.pdfphase-type distributions, population genetics, ancestral process, coalescent theorytag:joss.theoj.org,2005:Paper/36532023-02-21T15:19:54Z2023-02-22T00:00:52ZdsBinVal: Conducting distributed ROC analysis using DataSHIELDacceptedv1.0.12022-06-13 12:52:25 UTC822023-02-21 15:19:54 UTC820234545DanielSchalkDepartment of Statistics, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, Germany, Munich Center for Machine Learning, Munich, Germany0000-0003-0950-1947VerenaSophiaHoffmannInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, GermanyBerndBischlDepartment of Statistics, LMU Munich, Munich, Germany, Munich Center for Machine Learning, Munich, GermanyUlrichMansmannInstitute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany, DIFUTURE (DataIntegration for Future Medicine, www.difuture.de), LMU Munich, Munich, Germany10.21105/joss.04545https://doi.org/10.5281/zenodo.7634619Rhttps://joss.theoj.org/papers/10.21105/joss.04545.pdfDataSHIELD, distributed computing, distributed analysis, privacy-preserving, diagnostic tests, prognostic model, model validation, ROC-GLM, discrimination, calibration, Brier scoretag:joss.theoj.org,2005:Paper/39642022-12-16T13:14:37Z2022-12-17T00:01:04Zhstrat: a Python Package for phylogenetic inference on distributed digital evolution populationsacceptedv1.0.32022-10-16 23:14:14 UTC802022-12-16 13:14:37 UTC720224866MatthewAndresMorenoMichigan State University0000-0003-4726-4479EmilyDolsonMichigan State University0000-0001-8616-4898CharlesOfriaMichigan State University0000-0003-2924-173210.21105/joss.04866https://doi.org/10.5281/zenodo.7416592Pythonhttps://joss.theoj.org/papers/10.21105/joss.04866.pdfartificial life, digital evolution, distributed computingtag:joss.theoj.org,2005:Paper/31762022-12-15T20:00:22Z2022-12-16T01:32:57ZElephas: Distributed Deep Learning with Keras & Sparkaccepted3.0.02021-11-18 11:58:03 UTC802022-12-15 20:00:22 UTC720224073MaxPumperlaIU Internationale Hochschule, Erfurt, Germany, Anyscale Inc, San Francisco, USADanielCahallIndependent researcher, Philadelphia, USA10.21105/joss.04073https://doi.org/10.5281/zenodo.7435012Pythonhttps://joss.theoj.org/papers/10.21105/joss.04073.pdfDistributed Computing, Deep Learning, Keras, Tensorflow, Apache Sparktag:joss.theoj.org,2005:Paper/33052022-10-16T18:11:19Z2022-10-17T00:01:29ZDeepSynth: Scaling Neural Program Synthesis with Distribution-based Searchacceptedv1.02022-01-25 09:55:56 UTC782022-10-16 18:11:19 UTC720224151ThéoMatriconCNRS, LaBRI and Université de Bordeaux, France0000-0002-5043-3221NathanaëlFijalkowCNRS, LaBRI and Université de Bordeaux, France, The Alan Turing Institute of data science, United Kingdom0000-0002-6576-4680GuillaumeLagardeCNRS, LaBRI and Université de Bordeaux, FranceKevinEllisCornell University, United States10.21105/joss.04151https://doi.org/10.5281/zenodo.7194579Python, Slashhttps://joss.theoj.org/papers/10.21105/joss.04151.pdfprogram synthesis, programming by example, neuro-symbolic methods, parallel search procedurestag: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 gridtag:joss.theoj.org,2005:Paper/32552022-10-13T16:20:58Z2022-10-14T00:00:28ZDASF: A data analytics software framework for distributed environmentsacceptedv0.2.02021-12-17 14:00:05 UTC782022-10-13 16:20:58 UTC720224052DanielEggertHelmholtz Centre Potsdam - GFZ German Research Centre for Geosciences0000-0003-0251-4390MikeSipsHelmholtz Centre Potsdam - GFZ German Research Centre for Geosciences0000-0003-3941-7092PhilippS.SommerHelmholtz-Zentrum Hereon0000-0001-6171-7716DorisDranschHelmholtz Centre Potsdam - GFZ German Research Centre for Geosciences10.21105/joss.04052https://doi.org/10.5880/GFZ.1.4.2021.008Python, Jinjahttps://joss.theoj.org/papers/10.21105/joss.04052.pdfdistributed, data analysis, framework, Typescript, RPC