Search Results - "Zalatan, Benjamin"

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  1. 1
    Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks

    Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks by Zalatan, Benjamin, Rahnemoonfar, Maryam

    “…As we deal with the effects of climate change and the increase of global atmospheric temperatures, the accurate tracking and prediction of ice layers within…”
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    Conference Proceeding
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  2. 2
    Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar

    Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar by Zalatan, Benjamin, Rahnemoonfar, Maryam

    Published in 2023 IEEE Radar Conference (RadarConf23) (01-05-2023)
    “…The accurate prediction and estimation of annual snow accumulation has grown in importance as we deal with the effects of climate change and the increase of…”
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  3. 3
    High-Performance Grain Growth Simulations and Their Machine Learning Applications

    High-Performance Grain Growth Simulations and Their Machine Learning Applications by Zalatan, Benjamin

    Published 01-01-2024
    “…Due to the difficulty in observing grain growth in real samples, grain growth simulations have become commonplace for analyzing and predicting grain behavior…”
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    Dissertation
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  4. 4
    Physics-informed Machine Learning for Deep Ice Layer Tracing in SAR images

    Physics-informed Machine Learning for Deep Ice Layer Tracing in SAR images by Rahnemoonfar, Maryam, Zalatan, Benjamin

    “…The precise prediction and tracking of deep internal layers of ice sheets is becoming increasingly important as we deal with the impacts of climate change and…”
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  5. 5
    Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach

    Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach by Zalatan, Benjamin, Rahnemoonfar, Maryam

    “…The precise tracking and prediction of polar ice layers can unveil historic trends in snow accumulation. In recent years, airborne radar sensors, such as the…”
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    Conference Proceeding
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  6. 6
    Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks

    Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks by Zalatan, Benjamin, Rahnemoonfar, Maryam

    Published 22-06-2023
    “…As we deal with the effects of climate change and the increase of global atmospheric temperatures, the accurate tracking and prediction of ice layers within…”
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    Journal Article
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  7. 7
    Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach

    Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach by Zalatan, Benjamin, Rahnemoonfar, Maryam

    Published 22-06-2023
    “…The precise tracking and prediction of polar ice layers can unveil historic trends in snow accumulation. In recent years, airborne radar sensors, such as the…”
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    Journal Article
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  8. 8
    Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar

    Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar by Zalatan, Benjamin, Rahnemoonfar, Maryam

    Published 01-02-2023
    “…The accurate prediction and estimation of annual snow accumulation has grown in importance as we deal with the effects of climate change and the increase of…”
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    Journal Article
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  9. 9
    Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer's Disease Prediction

    Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer's Disease Prediction by Yu, Jun, Zalatan, Benjamin, Chen, Yong, Shen, Li, He, Lifang

    “…The assessment of Alzheimer's Disease (AD) progression via the analysis of physical changes within the brain has attracted great interest from the fields of…”
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    Conference Proceeding
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  10. 10
    Flood Adventures: A Flood Preparedness Simulation Game

    Flood Adventures: A Flood Preparedness Simulation Game by Bodzin, Alec, Araujo-Junior, Robson, Straw, Kenneth, Huang, Surui, Zalatan, Benjamin, Semmens, Kathyrn, Anastasio, David, Hammond, Thomas

    “…Knowledge of how to prepare for flooding remains an important educational need as illustrated by the devastation caused by recent flooding events across the…”
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