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JITENDRA KUMAR
Author Info
Open Visualization
Name
Affiliation
Papers
JITENDRA KUMAR
Oak Ridge Natl Lab, Com Sci & Math Div, Oak Ridge, TN 37830 USA
18
Collaborators
Citations
PageRank
39
51
8.05
Referers
Referees
References
127
299
94
Search Limit
100
299
Publications (18 rows)
Collaborators (39 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Fractional-order self-tuned fuzzy PID controller for three-link robotic manipulator system
2
0.37
2020
Arctic Vegetation Mapping Using Unsupervised Training Datasets and Convolutional Neural Networks.
1
0.37
2019
Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars
0
0.34
2019
Deep Transfer Learning With Field-Based Measurements for Large Area Classification
0
0.34
2019
Wildfire Mapping in Interior Alaska Using Deep Neural Networks on Imbalanced Datasets.
2
0.44
2018
Detecting Outliers in Streaming Time Series Data from ARM Distributed Sensors.
0
0.34
2018
Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures.
0
0.34
2018
Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers
1
0.35
2017
Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion
1
0.35
2017
Hpc Infrastructure To Support The Next-Generation Arm Facility Data Operations
0
0.34
2016
Mapping Arctic Plant Functional Type Distributions in the Barrow Environmental Observatory Using WorldView-2 and LiDAR Datasets.
2
0.38
2016
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR.
2
0.38
2015
Identification And Visualization Of Dominant Patterns And Anomalies In Remotely Sensed Vegetation Phenology Using A Parallel Tool For Principal Components Analysis
3
0.44
2013
Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks.
0
0.34
2012
Parallel K-Means Clustering For Quantitative Ecoregion Delineation Using Large Data Sets
22
1.37
2011
Cluster Analysis-Based Approaches For Geospatiotemporal Data Mining Of Massive Data Sets For Identification Of Forest Threats
6
0.51
2011
Data Mining In Earth System Science (Dmess 2011)
6
0.49
2011
Geospatiotemporal data mining in an early warning system for forest threats in the United States
3
0.57
2010
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