Uzma Hasan, Md Osman Gani

Machine Learning, Causal Discovery, Search Process, Reinforcement Learning, Systematic Review, Observational Data

Sahara Ali, Seraj Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana Janeja

Wildlife, sea measurements, geoscience and remote sensing, predictive models, probabilistic logic, arctic, Machine Learning, Machine Learning Models, Proababilistic Model, Sea Ice, Arctic Ice, Arctic Sea Ice, Probabilistic Machine, Probabilistic Machine Learning Models, Sea Ice Forecasting, Root Mean Square Error, Kriging, Lead Time, Continuous Decline, Traditional Machine Learning Methods, Sea Ice Extent, Longer Lead Times, Linear Model, Normal Distribution, Training Data, Posterior Probability, Generalized Regression Neural Network, Long Short-term Memory, Bayesian Regression, Hidden Markov Model, Short-term Memory Model, Markov Chain Monte Carlo, Hidden State, Probability Density Function, R2 Score, Standard Model, Arctic sea ice climate change, Gaussian Process Regression

Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, Shashi Shekhar

Information systems, geographic information systems, statistical significance, regional economics, Regional Colocation pattern, Statistical Significance, Neighborhood Graph, Spatial Heterogenity, Game Theory

Sharad Sharma, Don Engel

Augmented reality, alarm system, object detection, mobile application development

Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani

Machine Learning, Artificial Intelligence, Methodology, AAAI Conference

Sahara Ali, Jianwu Wang

Deep learning, Satellites, Atmospheric modeling, Predictive models, Data models, Spatiotemporal phenomena, Arctic, Deep Learning Models, Spatial Model, Sea Ice, Arctic Ice, Arctic Sea Ice, Sea Ice Forecasting, Machine Learning, Statistical Models, Machine Learning Models, Forecasting Model, Lead Time, Climate Patterns, Skip Connections, Earth System Models, Sea Ice Concentration, Ocean Variability, Future Time Steps, Arctic Amplification, Sea Ice Variability, Convolutional Neural Network, R2 Score, Convolutional Neural Network Model, Mean Absolute Error, Root Mean Square Error, Long Short-term Memory, Spatiotemporal Model, 2D Convolutional Layers, Mean Absolute Percentage Error

Xingyan Li, Jian Li, Zachary Williams, Xin Huang, Mark Carroll, Jianwu Wang

Deep learning, Training, Adaptation models, Interpolation, Superresolution, Transfer learning, Neural networks, Bathymetry Data, Loss Function, Spatial Resolution, Model Performance, Cognitive Domains, Deep Learning Models, Residual Network, Single Image Super-resolution, Neural Network, Experimental Models, Convolutional Neural Network, High-resolution Images, Water Loss, Coastal Areas, Land Area, Digital Elevation Model, Generative Adversarial Networks, Ocean Areas, Bathymetric Data, Super-resolution Model, Loss of Content, Interpolation Method, RGB Images, Width of the Image, Range of Pixel Values, JPEG Images, Low-resolution Images, Deep learning, super-resolution, bathymetry data, transfer learning

Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian

Atmospheric and Oceanic Physics, Artificial Intelligence, Machine Learning, Dynamical Systems, Climate change, sea-level rise, spatial variability, forecasting, regression

Atefeh Jebeli, Bayu Adhi Tama

Ice sheet, ice penetrating radar, supervised learning, unsupervised learning, deep neural network

Sharad Sharma

Mars, Navigation, Buildings, Emergency services, Indoor environment, Sensors, Augmented reality, Augmented System, Augmented Reality System, Mobile Augmented Reality System, Mobile App, Limited Studies, Outdoor Environments, User Study, Indoor Environments, Navigation Information, Emergency Evacuation, Indoor Navigation, Object Detection, Current Position, Cognitive Map, Imageing Biomarkers, Ground Plane, Mobile System, Situational Awareness, Unity 3D, Gas Stations, Questions in the Questionnaire, Front Camera, Samsung Galaxy, Smartphone Devices, Ultra-wide, Signboards, User Location, Google Maps, Mobile augmented reality system, evacuation, navigation, Augmented Reality emergency response, mobile application, two-dimensional/three-dimentional visualizations

Sudip Chakraborty, Chhaya Kulkarni, Atefeh Jabeli, Akila Samoath, Gehan Boteju, Jianwu Wang, Vandana Janeja

Antarctic Ice Sheet Melt, wildfire Aerosols, Amazon wildfire, Albedo

Nidhin Harilal, Bri-Mathias Hodge, Aneesh Subramanian, Claire Monteleoni

Climate change, sea-level rise, spatial variability, forecasting, Machine Learning, regression

Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, Shashi Shekha

Colocation pattern, participation index, multiple comparison problem, spatial heterogenity, statistical significance

Naomi Tack, Rebecca Williams, Nicholars Holschuh, Sharad Sharma, Don Engel

Applied computing, environmental sciences, human-centered computing, scientific visualization, geographic visualization, virtual reality, Fence diagrams, Greenland Ice Sheet, ice-penetrating radar

Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, Vandana Janeja

Spatiotemporal associations, anomalies, spatial neighborhood, spatiotemporal confidence and support

Naomi Tack, Bayu Adhi Tama, Atefeh Jebeli, Vandana Janeja, Don Engel, Rebecca Williams

Measurement, annotations, deformation, airborne radar, geoscience and remote sensing, ice, Antarctica, Quality Metrics, Ice Layer, Dense Layer, Antarctica, Paleoclimate, Meltwater, Equilibrium Line Altitude, Layer Orientation, Ice Flow, Feature Maps, Image Artifacts, Radar Images, Ice Sheet, Flight Path, Global Metrics, Local Metrics, Independent Metrics, Local Histogram, ice-penetrating radar, quality metrics, auto-annotation

Chhaya Kulkarni, Vandana Janeja, Nicole-Jeanne Schlegel

Analytical models, Statistical analysis, Semantics, Market research, Data models, Spatial databases, Spatiotemporal phenomena, Ice Sheet, Greenland Ice Sheet, Variety of Contexts, Spatial Heterogeneity, Spatial Autocorrelation, Polar Regions, Multiple Contexts, Snowmelt, Local Phenomenon, Regression Analysis, Multiple Regression Analysis, Local Clustering, R-squared Values, Voronoi Diagram, Global Relations, Spatiotemporal Data, Spatial Neighborhood, Spatial Objects, Adjacent Neighbors, Silhouette Score, Neighborhood Definition, neighborhood discovery, multi-contextual learning

Naomi Tack, Nicholas Holschuh, Sharad Sharma, Rebecca Williams, Don Engel

Three-dimensional displays, Ground penetrating radar, Atmospheric modeling, Data visualization, Geoscience and remote sensing, Radar imaging, Predictive models, Prediction Accuracy, Sea Level Rise, Ice Sheet, Equilibrium Line Altitutde, Airborne Platforms, Radar Images, Correct Orientation, flight Path, Ice Layer, Ice Flow, Ice sheet, XR, Ice-penetrating radar, Fence diagram, Visualization

Sharad Sharma, Rishitha Reddy Pesaladinne

Mobile augmented reality application (MARA), Visualization, Data analysis, System Usability Scale (SUS)

Christopher Shuman, Mark Fahnestock

Remote sensing, Iceberg, AGU Conference

Naomi Tack, Nicholas Holschuh, Sharad Sharma, Rebecca Williams, Don Engel

Radar data, Fence diagram, Extended Reality (XR), AGU Conference

Sudip Chakraborty, Chhaya Kulkarni, Atefeh Jabeli, Jianwu Wang, Vandana Janeja

Machine Learning, Predicitve model, random forest (RF), elastic net regression (EL), matrix profile (MPF), causal discovery (CD), satellite measurement, AGU Conference

Atefeh Jebeli, Bayu Adhi Tama, Sanjay Purushotham, Vandana Janeja

Deep Learning, Ice Layer Annotation, Sea Level Rise, Semi-supervised Learning, Radargram

Sharad Sharma, Sri Chandra Dronavalli

Big data, crime, crime analytics, data analysis, data analytics, data visualization

Emam Hossain, Sahara Ali, Yiyi Huang, Nicole Shchlegel, Jianwu Wang, Aneesh Subramanian, Md Osman Gani

Arctic sea ice, Causal discovery algorithms, Deep-learning model

Sahara Ali, Omar Faruque, Yiyi Huang, Md Osman Gani, Nicole-Jeanne Schlegel, Aneesh Subramanian, Jianwu Wang

Data-driven Causal Inference, Earth science data, Neural networks

Devon Dunmire, Nander Wever, Alison F. Banwell, Jan Lenaerts

Earth Sciences, Glaciology, Physical Sciences and Mathematics, Antarctica, Ice shelves, Firn modelling, Firn depletion

Gong Cheng, Mathieu Morlighem, Sade Francis

Geophysics, Cryosphere, Forward-inversion system, Ice sheet modeling, Pinn

Uzma Hasan, Emam Hossain, Md Osman Gani

Artificial Intelligence, Causal Discovery, Benchmark Dataset, Causal Discovery Method, Variables, Observational Data, Independent And Identically Distributed, Causal Mechanisms, Causality, Causal Relations

Louis Lapp, Sahara Ali, Jianwu Wang

Climate change, Arctic Ocean, Sea ice, Fourier transforms, Machine learning, Time series analysis, Weather forecasting, Environmental monitoring, Ecosystems, Residual neural networks, Ice thickness, Environmental metrics, Fourier transform, sea ice, residual learning, arctic ice, arctic sea ice, time series, model performance, time series data, fast fourier transform, grid search, gradient boosting, mitigation efforts, spatiotemporal data, multivariate time series, response efforts, sea ice extent, resilience in response, performance of the methodology, gradient boosting model, multivariate time series data, root mean square error, sea ice concentration, monthly time series, 3d architecture, Machine Learning models, cyclical trend, 2d data, sea ice loss, trends data, sea ice decline, arctic sea ice extent, fourier transform, ma-chine learning, time series forecasting

Sahara Ali, Omar Faruque, Yiyi Huang, Md Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang

Deep learning, thermodynamics, recurrent neural networks, estimation, predictive models, probabilistic logic, arctic, Deep learning, causal inference, arctic amplification, neural network, causal effect, observational data, prolonged treatment, recurrent neural network, Earth science, sea ice, Gaussian mixture model, inverse probability, inverse probability weighting, arctic ice, balancing strategy, arctic sea ice, sea ice melt. root mean square error, time series data, deep learning models, time-varying covariates, sea ice extent, average treatment effect, Causal inference, deep learning, LSTM, arctic amplification