Papers matching “object-oriented modeling” 47
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MiMiCPy: An Efficient Toolkit for MiMiC-Based QM/MM Simulations2023 Journal of Chemical Information and Modeling article Physics and Astronomy Advanced Chemical Physics Studies Open access
Bharath Raghavan, Florian Karl Schackert, Andrea Levy, Sophia K. Johnson, Emiliano Ippoliti, Davide Mandelli, +3 more
11citations -
RefSite3D: A Multi-Phase and Multi-Scenario 3D Point Cloud Dataset from the Reference Construction Site Aachen for Target Extraction, Scan-to-BIM Verification and Construction Monitoring2024 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering BIM and Construction Integration Open access
Jan Luca Fahrendholz, Sigrid Brell‐Çokcan, RWTH Aachen University, Construction Robotics GmbH, Chu Han Wu, Marit Zöcklein
0citations -
RefSite3D: A Multi-Phase and Multi-Scenario 3D Point Cloud Dataset from the Reference Construction Site Aachen for Target Extraction, Scan-to-BIM Verification and Construction Monitoring2024 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering BIM and Construction Integration Open access
Jan Luca Fahrendholz, Sigrid Brell‐Çokcan, RWTH Aachen University, Construction Robotics GmbH, Chu Han Wu, Marit Zöcklein
0citations -
AixLib: an open-source Modelica library for compound building energy systems from component to district level with automated quality management2023 Journal of Building Performance Simulation article Engineering Building Energy and Comfort Optimization Open access
Laura Maier, Fabian Wüllhorst, Martin Kremer, Alexander Kümpel, Tobias Blacha, Dirk Müller
60citations -
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables2025 Journal of Statistical Software software-paper Computer Science Bayesian Methods and Mixture Models Open access
Sacha Morin, Robin Legault, Félix Laliberté, Zsuzsa Bakk, Charles‐Édouard Giguère, Roxane de la Sablonnière, +1 more
22citations -
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables2023 arXiv (Cornell University) software-paper Computer Science Bayesian Methods and Mixture Models Open access
Sacha Morin, Robin Legault, Zsuzsa Bakk, Charles‐Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse
8citations