Jitendra Kumar

Orcid: 0000-0002-0159-0546

Affiliations:
  • Oak Ridge National Laboratory, Oak Ridge, TN, USA


According to our database1, Jitendra Kumar authored at least 24 papers between 2010 and 2022.

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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

Clustering-Based Predictive Analytics to Improve Scientific Data Discovery.
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

Deep Transfer Learning With Field-Based Measurements for Large Area Classification.
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

Big Federal Data Centers Implementing FAIR Data Principles: ARM Data Center Example.
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

Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors.
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

Machine Learning and Social Media to Mine and Disseminate Big Scientific Data.
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

Social media based NPL system to find and retrieve ARM data: Concept paper.
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

HPC infrastructure to support the next-generation ARM facility data operations.
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
Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks.
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

Data Mining in Earth System Science (DMESS 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


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