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  1. Two Variable vs. Linear Temporal Logic in Model Checking and Games

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  2. Complexity of Model Checking Recursion Schemes for Fragments of the Modal Mu-Calculus

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  3. Models for industry differentiation in decision-making systems with an application to the Ukrainian economy

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  4. Pop2net: Bipartite network generation for agent-based modeling

    Published in Journal of Open Source Software (2026)
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  5. pytau: A Python package for streamlined changepoint model analysis in neuroscience

    Published in Journal of Open Source Software (2026)
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  6. Sea ice extent forecasting using statistical and deep learning models

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  7. gkwreg: An R Package for Generalized Kumaraswamy Regression Models for Bounded Data

    Published in Journal of Open Source Software (2026)
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  8. Assessing Digital Elevation Models for Battery Electric Buses Energy Prediction

    Published in IEEE Access (2026)
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  9. Federated Learning With Dynamic Pruning for Efficient Model Aggregation in Heterogeneous Environments

    Published in IEEE Access (2026)
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  10. Modeling Image Segmentation Label Noise Through Concave Region Removal

    Published in IEEE Access (2026)
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  11. Intelligent model for Alzheimer's disease imaging assessment based on federated learning

    Published in Discover AI (2026)
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  12. Multi-Source Visual Language Model Fusion for Indoor Geolocation Reliability

    Published in IEEE Access (2026)
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  13. Validation of an agent-based model for cell interactions in a microfluidic chip

    Published in PLOS ONE (2026)
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  14. Analysis of externally excited nonlinear Mathieu equation model for floating bodies

    Published in Technische Mechanik (2026)
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  15. BF-DETR: A Lightweight and Adjustable Model Based on RT-DETR

    Published in IEEE Access (2026)
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  16. anvay: A Web-based Tool for Interpretive Topic Modelling in Bengali

    Published in Journal of Open Source Software (2026)
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  17. Retraction: Natural gas price prediction based on artificial intelligence models

    Published in PLOS ONE (2026)
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  18. Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling

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  19. UQLM: A Python Package for Uncertainty Quantification in Large Language Models

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  20. A Reliable Stream Learning Model for Network Intrusion Detection Systems

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