Jitendra Kumar
Orcid: 0000-0002-0159-0546Affiliations:
- Oak Ridge National Laboratory, Oak Ridge, TN, USA
According to our database1,
Jitendra Kumar
authored at least 24 papers
between 2010 and 2022.
Collaborative distances:
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Bibliography
2022
Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
2020
Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere-Atmosphere Interactions.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks.
Remote. Sens., 2019
Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Provenance-aware workflow for data quality management and improvement for large continuous scientific data streams.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets.
Remote. Sens., 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2013
Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis.
Proceedings of the International Conference on Computational Science, 2013
2012
Proceedings of the International Conference on Computational Science, 2012
2011
Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats.
Proceedings of the International Conference on Computational Science, 2011
Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets.
Proceedings of the International Conference on Computational Science, 2011
Proceedings of the International Conference on Computational Science, 2011
2010
Geospatiotemporal data mining in an early warning system for forest threats in the United States.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010