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ORCIDPaahuni Khandelwal
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2020 – today
- 2024
[c10]Paahuni Khandelwal
, Sangmi Lee Pallickara, Shrideep Pallickara:
DeepSoil: A Science-guided Framework for Generating High Precision Soil Moisture Maps by Reconciling Measurement Profiles Across In-situ and Remote Sensing Data. SIGSPATIAL/GIS 2024: 233-246- 2023
- [c9]Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections. CLOUD 2023: 72-83 - [c8]Abdul Matin, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data. IEEE Big Data 2023: 1222-1229 - [c7]Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara:
Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations. CCGridW 2023: 316-318 - [c6]Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara:
Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. CCGrid 2023: 592-604 - 2022
- [j1]Samuel Armstrong, Paahuni Khandelwal, Dhruv Padalia, Gabriel B. Senay, Darin Schulte, Allan A. Andales, F. Jay Breidt, Shrideep Pallickara, Sangmi Lee Pallickara:
Attention-based convolutional capsules for evapotranspiration estimation at scale. Environ. Model. Softw. 152: 105366 (2022) - [c5]Paahuni Khandelwal, Samuel Armstrong, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara:
CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence. e-Science 2022: 117-127 - 2021
- [c4]Paahuni Khandelwal, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Mind the Gap: Generating Imputations for Satellite Data Collections at Myriad Spatiotemporal Scopes. CCGRID 2021: 92-102 - 2020
- [c3]Kevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara:
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections. IEEE BigData 2020: 246-255 - [c2]Daniel Rammer, Kevin Bruhwiler, Paahuni Khandelwal, Samuel Armstrong, Shrideep Pallickara, Sangmi Lee Pallickara:
Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads. UCC 2020: 101-111
2010 – 2019
- 2019
- [c1]Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
STASH : Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations. CLUSTER 2019: 1-11
Coauthor Index
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