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Jitendra Kumar 0001
Person information
- affiliation: Oak Ridge National Laboratory, Oak Ridge, TN, USA
Other persons with the same name
- Jitendra Kumar — disambiguation page
- Jitendra Kumar 0002
— Indian Institute of Technology Kharagpur, India
- Jitendra Kumar 0003
- Jitendra Kumar 0004
- Jitendra Kumar 0005 — Netaji Subhas University of Technology, Dwarka, India
- Jitendra Kumar 0006
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2020 – today
- 2022
- [c22]Bharat Sharma
Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes. ICDM (Workshops) 2022: 1136-1143 - 2020
- [c21]Ranjeet Devarakonda, Jitendra Kumar, Giri Prakash:
Clustering-Based Predictive Analytics to Improve Scientific Data Discovery. IEEE BigData 2020: 5658-5661 - [c20]David J. Durden
Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere-Atmosphere Interactions. SMC 2020: 204-225
2010 – 2019
- 2019
- [j2]Zachary L. Langford, Jitendra Kumar
Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks. Remote. Sens. 11(1): 69 (2019) - [c19]Jitendra Kumar, Michael C. Crow, Ranjeet Devarakonda
Provenance-aware workflow for data quality management and improvement for large continuous scientific data streams. IEEE BigData 2019: 3260-3266 - [c18]Ranjeet Devarakonda
Big Federal Data Centers Implementing FAIR Data Principles: ARM Data Center Example. IEEE BigData 2019: 6033-6036 - [c17]Zachary L. Langford, Jitendra Kumar
Deep Transfer Learning With Field-Based Measurements for Large Area Classification. ICDM Workshops 2019: 262-269 - [c16]Yuping Lu
Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars. ICDM Workshops 2019: 288-295 - 2018
- [c15]Ranjeet Devarakonda
Machine Learning and Social Media to Mine and Disseminate Big Scientific Data. IEEE BigData 2018: 5312-5315 - [c14]Zachary L. Langford, Jitendra Kumar
Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets. ICDM Workshops 2018: 770-778 - [c13]Yuping Lu
Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors. ICDM Workshops 2018: 779-786 - [c12]Richard Tran Mills, Vamsi Sripathi, Jitendra Kumar
Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures. ICDM Workshops 2018: 787-794 - 2017
- [c11]Ranjeet Devarakonda
Social media based NPL system to find and retrieve ARM data: Concept paper. IEEE BigData 2017: 4736-4737 - [c10]Sarat Sreepathi
Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers. CLUSTER 2017: 267-277 - [c9]Zachary L. Langford, Jitendra Kumar
Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion. ICDM Workshops 2017: 322-331 - 2016
- [j1]Zachary L. Langford, Jitendra Kumar
Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets. Remote. Sens. 8(9): 733 (2016) - [c8]Giri Prakash, Jitendra Kumar
HPC infrastructure to support the next-generation ARM facility data operations. IEEE BigData 2016: 4026-4028 - 2015
- [c7]Jitendra Kumar
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR. ICDM Workshops 2015: 1478-1485 - 2013
- [c6]Richard Tran Mills, Jitendra Kumar
Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis. ICCS 2013: 2396-2405 - 2012
- [c5]Jitendra Kumar
Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks. ICCS 2012: 887-896 - 2011
- [c4]Forrest M. Hoffman
Data Mining in Earth System Science (DMESS 2011). ICCS 2011: 1450-1455 - [c3]Jitendra Kumar
Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets. ICCS 2011: 1602-1611 - [c2]Richard Tran Mills, Forrest M. Hoffman
Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats. ICCS 2011: 1612-1621 - 2010
- [c1]Forrest M. Hoffman
Geospatiotemporal data mining in an early warning system for forest threats in the United States. IGARSS 2010: 170-173
Coauthor Index
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