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Daniel Crawl
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2020 – today
- 2024
- [c42]Hena Ahmed, Ravi Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas:
Towards an Integrated Performance Framework for Fire Science and Management Workflows. CCGridW 2024: 78-83 - [c41]Ilkay Altintas, Shweta Purawat, Ismael Pérez, Jenny Lee, Melissa Floca, Jessica Block, Josh Breslow, Daniel Crawl:
Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge. e-Science 2024: 1-10 - [i6]Hena Ahmed, Ravi Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas:
Towards an Integrated Performance Framework for Fire Science and Management Workflows. CoRR abs/2407.21231 (2024) - 2023
- [j6]Jaspreet Kaur Bhamra
, Shreyas Anantha Ramaprasad, Siddhant Baldota
Multimodal Wildland Fire Smoke Detection. Remote. Sens. 15(11): 2790 (2023) - [c40]Ivannia Gomez Moreno
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. e-Science 2023: 1-2 - [c39]Daniel Roten, Lucas A. Wells, Daniel Crawl, Russell Parsons, Anthony Marcozzi, Rodman R. Linn, John Kevin Hiers, Ilkay Altintas:
TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. e-Science 2023: 1-10 - [c38]Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas:
Automating the Evaluation of Datasets for FAIR and CARE Principles. e-Science 2023: 1-2 - 2022
- [j5]Li Tan
Estimation of wildfire wind conditions via perimeter and surface area optimization. J. Comput. Sci. 61: 101633 (2022) - [c37]Daniel Roten, Jessica Block, Daniel Crawl, Jenny Lee, Ilkay Altintas:
Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction. IEEE Big Data 2022: 1681-1690 - [c36]Isaac Nealey, Daniela Encinas Pacheco, Ivannia Gomez Moreno
A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns. e-Science 2022: 429-430 - [i5]Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra, Shane Luna, Ravi Ramachandra, Eugene Zen, Harrison Kim, Daniel Crawl, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
Multimodal Wildland Fire Smoke Detection. CoRR abs/2212.14143 (2022) - 2021
- [c35]Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Ilkay Altintas:
Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements. ICCS (5) 2021: 231-244 - 2020
- [c34]Abhishek Subramanian, Li Tan, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas:
Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering. ICCS (6) 2020: 225-236
2010 – 2019
- 2019
- [j4]Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Toward a Methodology and Framework for Workflow-Driven Team Science. Comput. Sci. Eng. 21(4): 37-48 (2019) - [c33]Mai H. Nguyen, Jiaxin Li, Daniel Crawl, Jessica Block, Ilkay Altintas:
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing. IEEE BigData 2019: 5437-5443 - [c32]Susanne Benz
Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. eScience 2019: 243-251 - [c31]Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr:
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. IPDPS Workshops 2019: 865-873 - [i4]Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Towards A Methodology and Framework for Workflow-Driven Team Science. CoRR abs/1903.01403 (2019) - [i3]Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr:
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. CoRR abs/1903.06802 (2019) - 2018
- [c30]Mai H. Nguyen, Jessica Block, Daniel Crawl, Vincent Siu, Akshit Bhatnagar, Federico Rodríguez, Alison Kwan, Namrita Baru, Ilkay Altintas:
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning. IEEE BigData 2018: 1632-1638 - [c29]Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Hanson, Ilkay Altintas:
Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery. UCC Companion 2018: 142-147 - [i2]Andrés García-Silva, José Manuél Gómez-Pérez, Raúl Palma, Marcin Krystek, Simone Mantovani, Federica Foglini, Valentina Grande, Francesco De Leo, Stefano Salvi, Elisa Trasatti, Vito Romaniello, Mirko Albani, Cristiano Silvagni, Rosemarie Leone, Fulvio Marelli, Sergio Albani, Michele Lazzarini, Hazel J. Napier, Helen M. Glaves, Timothy Aldridge, Charles Meertens, Fran Boler, Henry W. Loescher, Christine Laney, Melissa A. Genazzio, Daniel Crawl, Ilkay Altintas:
Enabling FAIR Research in Earth Science through Research Objects. CoRR abs/1809.10617 (2018) - 2017
- [c28]Mai H. Nguyen, Daniel Crawl, Jiaxin Li, Dylan Uys, Ilkay Altintas:
Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning. IEEE BigData 2017: 1203-1212 - [c27]Jessica Block, Mehrdad Yazdani, Mai H. Nguyen, Daniel Crawl, Marta Jankowska, John Graham, Thomas A. DeFanti, Ilkay Altintas:
An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis. eScience 2017: 9-18 - [c26]José Manuél Gómez-Pérez, Chuck Meertens, Fran Boler, Henry Loescher, Christine Laney
Research Objects for Interworkability among Global Environmental and Geophysical Data. eScience 2017: 452-453 - [c25]Thayjes Srivas, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas:
Data Assimilation of Wildfires with Fuel Adjustment Factors in farsite using Ensemble Kalman Filtering*. ICCS 2017: 1572-1581 - [c24]Daniel Crawl, Jessica Block, Kai Lin, Ilkay Altintas:
Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment. ICCS 2017: 2230-2239 - [c23]Jason Koh, Sandeep Sandha, Bharathan Balaji, Daniel Crawl, Ilkay Altintas, Rajesh K. Gupta
Data Hub Architecture for Smart Cities. SenSys 2017: 77:1-77:2 - [i1]Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas:
Modular Resource Centric Learning for Workflow Performance Prediction. CoRR abs/1711.05429 (2017) - 2016
- [c22]Mai H. Nguyen, Dylan Uys, Daniel Crawl, Charles Cowart, Ilkay Altintas:
A scalable approach for location-specific detection of Santa Ana conditions. IEEE BigData 2016: 1340-1345 - [c21]Daniel Crawl, Alok Singh, Ilkay Altintas:
Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows. ICCS 2016: 673-679 - [c20]Ankit Goyal, Alok Singh, Shitij Bhargava, Daniel Crawl, Ilkay Altintas, Chun-Nan Hsu:
Natural Language Processing using Kepler Workflow System: First Steps. ICCS 2016: 712-721 - [c19]Mai H. Nguyen, Daniel Crawl, Tahereh Masoumi, Ilkay Altintas:
Integrated Machine Learning in the Kepler Scientific Workflow System. ICCS 2016: 2443-2448 - 2015
- [c18]Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas:
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData 2015: 2509-2516 - [c17]Ilkay Altintas, Jessica Block, Raymond A. de Callafon, Daniel Crawl, Charles Cowart, Amarnath Gupta, Mai H. Nguyen, Hans-Werner Braun, Jürgen P. Schulze, Michael Gollner
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires. ICCS 2015: 1633-1642 - 2014
- [j3]Jianwu Wang, Daniel Crawl, Ilkay Altintas, Weizhong Li:
Big Data Applications Using Workflows for Data Parallel Computing. Comput. Sci. Eng. 16(4): 11-21 (2014) - [c16]Jianwu Wang, Prakashan Korambath, Ilkay Altintas, Jim Davis, Daniel Crawl:
Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. ICCS 2014: 546-556 - [c15]Pek U. Ieong, Jesper Sørensen, Prasantha L. Vemu, Celia W. Wong, Özlem Demir
Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations. ICCS 2014: 1745-1755 - [c14]Ruijuan Chen, Xiaohua Wan, Ilkay Altintas, Jianwu Wang, Daniel Crawl, Sebastien Phan, Albert F. Lawrence, Mark H. Ellisman:
EPiK-a Workflow for Electron Tomography in Kepler. ICCS 2014: 2295-2305 - 2013
- [j2]Marcin Plóciennik
Approaches to Distributed Execution of Scientific Workflows in Kepler. Fundam. Informaticae 128(3): 281-302 (2013) - 2012
- [c13]Ilkay Altintas, Jianwu Wang, Daniel Crawl, Weizhong Li:
Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper. EDBT/ICDT Workshops 2012: 73-78 - [c12]Jianwu Wang, Daniel Crawl, Ilkay Altintas:
A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System. ICCS 2012: 1620-1629 - 2011
- [c11]Daniel Crawl, Jianwu Wang, Ilkay Altintas:
Provenance for MapReduce-based data-intensive workflows. WORKS@SC 2011: 21-30 - [p1]Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson
Facilitating e-Science Discovery Using Scientific Workflows on the Grid. Guide to e-Science 2011: 353-382 - 2010
- [j1]Derik Barseghian, Ilkay Altintas, Matthew B. Jones
Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis. Ecol. Informatics 5(1): 42-50 (2010) - [c10]Aisa Na'im, Daniel Crawl, Maria Indrawan, Ilkay Altintas, Shulei Sun:
Monitoring data quality in Kepler. HPDC 2010: 560-564 - [c9]Ilkay Altintas, Manish Kumar Anand, Daniel Crawl, Shawn Bowers, Adam Belloum
Understanding Collaborative Studies through Interoperable Workflow Provenance. IPAW 2010: 42-58 - [c8]Ustun Yildiz, Pierre Mouallem, Mladen A. Vouk, Daniel Crawl, Ilkay Altintas:
Fault-Tolerance in Dataflow-Based Scientific Workflow Management. SERVICES 2010: 336-343 - [c7]Pierre Mouallem, Daniel Crawl, Ilkay Altintas, Mladen A. Vouk, Ustun Yildiz:
A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows. SSDBM 2010: 452-460 - [c6]Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson
Theoretical enzyme design using the Kepler scientific workflows on the Grid. ICCS 2010: 1175-1184
2000 – 2009
- 2009
- [c5]Jianwu Wang, Daniel Crawl, Ilkay Altintas:
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. SC-WORKS 2009 - [c4]Jianwu Wang, Ilkay Altintas, Parviez R. Hosseini, Derik Barseghian, Daniel Crawl, Chad Berkley, Matthew B. Jones:
Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example. SERVICES I 2009: 267-274 - 2008
- [c3]Daniel Crawl, Ilkay Altintas:
A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows. IPAW 2008: 152-159 - 2006
- [c2]Daniel Crawl, Joseph Dunn, John K. Bennett, Avneesh Bhatnagar, Evan Speight:
Using Location Dependence to Manage Mobile Data. MobiQuitous 2006: 1-7 - 2003
- [c1]Avneesh Bhatnagar, Evan Speight, Dan Crawl, Joseph Dunn, John K. Bennett:
Application Management Techniques for the Bifrost System. WMCSA 2003: 66-76
Coauthor Index
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last updated on 2024-12-05 20:47 CET by the dblp team
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