Paper-Conference

Composing Modeling and Simulation with Machine Learning in Julia
In this paper we introduce JuliaSim, a high-performance programming environment designed to blend traditional modeling and simulation …
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Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components
Surrogate models, or machine learning based emulators of simulators, have been shown to be a powerful tool for accelerating …
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Estimating Long-Term Spatio-Temporal Variations of Urban Vegetation Using Landsat Time Series: A Case Study of Kyiv City, Ukraine
Vegetation contributes significantly to the sustainability of urban environment and the well-being of city dwellers. For this reason, …
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Revisiting Recommended BGP Route Flap Damping Configurations
BGP Route Flap Damping (RFD) is recommended to suppress BGP churn. Current configuration recommendations for RFD, however, are based on …
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The Analysis of the Long-Term Changes of the Growing Seasons in Kyiv, Ukraine Using Global Historical Climatology Network-Daily Database
The objective of this study was to evaluate the long-term changes in the timing of the growing season (GS) parameters for the city of …
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BGP Beacons, Network Tomography, and Bayesian Computation to Locate Route Flap Damping
Pinpointing autonomous systems which deploy specific inter-domain techniques such as Route Flap Damping (RFD) or Route Origin …
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Discovering Differential Equations from Earth Observation Data
Modeling and understanding the Earth system is a constant and challenging scientific endeavour. When a clear mechanistic model is …
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Study of Spatiotemporal Variations of Summer Land Surface Temperature in Kyiv, Ukraine Using Landsat Time Series
The aim of this study was to investigate long-term changes in the summer thermal regime of surface for the city of Kyiv (Ukraine) using …
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An Adaptable Approach for Pixel-Based Compositing and Crop Type/Tree Species Mapping
We present a novel approach for detailed crop type and tree species classification exploiting high spatio-temporal resolution …
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Facade Segmentation from Oblique UAV Imagery
Building semantic segmentation is a crucial task for building information modeling (BIM). Current research generally exploits …
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