Daniel Crawl

According to our database1, Daniel Crawl authored at least 51 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Multimodal Wildland Fire Smoke Detection.
Remote. Sens., 2023

Automating the Evaluation of Datasets for FAIR and CARE Principles.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
Estimation of wildfire wind conditions via perimeter and surface area optimization.
J. Comput. Sci., 2022

Multimodal Wildland Fire Smoke Detection.
CoRR, 2022

A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Toward a Methodology and Framework for Workflow-Driven Team Science.
Comput. Sci. Eng., 2019

Towards A Methodology and Framework for Workflow-Driven Team Science.
CoRR, 2019

Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery.
Proceedings of the 15th International Conference on eScience, 2019

Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Enabling FAIR Research in Earth Science through Research Objects.
CoRR, 2018

Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Modular Resource Centric Learning for Workflow Performance Prediction.
CoRR, 2017

Data Hub Architecture for Smart Cities.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

Data Assimilation of Wildfires with Fuel Adjustment Factors in farsite using Ensemble Kalman Filtering<sup>*</sup>.
Proceedings of the International Conference on Computational Science, 2017

Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment.
Proceedings of the International Conference on Computational Science, 2017

Research Objects for Interworkability among Global Environmental and Geophysical Data.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Integrated Machine Learning in the Kepler Scientific Workflow System.
Proceedings of the International Conference on Computational Science 2016, 2016

Natural Language Processing using Kepler Workflow System: First Steps.
Proceedings of the International Conference on Computational Science 2016, 2016

Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows.
Proceedings of the International Conference on Computational Science 2016, 2016

A scalable approach for location-specific detection of Santa Ana conditions.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires.
Proceedings of the International Conference on Computational Science, 2015

Big data provenance: Challenges, state of the art and opportunities.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Big Data Applications Using Workflows for Data Parallel Computing.
Comput. Sci. Eng., 2014

Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms.
Proceedings of the International Conference on Computational Science, 2014

Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations.
Proceedings of the International Conference on Computational Science, 2014

EPiK-a Workflow for Electron Tomography in Kepler.
Proceedings of the International Conference on Computational Science, 2014

2013
Approaches to Distributed Execution of Scientific Workflows in Kepler.
Fundam. Informaticae, 2013

2012
A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System.
Proceedings of the International Conference on Computational Science, 2012

Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper.
Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012

2011
Facilitating e-Science Discovery Using Scientific Workflows on the Grid.
Proceedings of the Guide to e-Science, Next Generation Scientific Research and Discovery, 2011

Provenance for MapReduce-based data-intensive workflows.
Proceedings of the WORKS'11, 2011

2010
Theoretical enzyme design using the Kepler scientific workflows on the Grid.
Proceedings of the International Conference on Computational Science, 2010

Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis.
Ecol. Informatics, 2010

A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows.
Proceedings of the Scientific and Statistical Database Management, 2010

Fault-Tolerance in Dataflow-Based Scientific Workflow Management.
Proceedings of the 6th World Congress on Services, 2010

Understanding Collaborative Studies through Interoperable Workflow Provenance.
Proceedings of the Provenance and Annotation of Data and Processes, 2010

Monitoring data quality in Kepler.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

2009
Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example.
Proceedings of the 2009 IEEE Congress on Services, Part I, 2009

Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems.
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, 2009

2008
A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows.
Proceedings of the Provenance and Annotation of Data and Processes, 2008

2006
Using Location Dependence to Manage Mobile Data.
Proceedings of the 3rd Annual International ICST Conference on Mobile and Ubiquitous Systems: Computing, 2006

2003
Application Management Techniques for the Bifrost System.
Proceedings of the 5th IEEE Workshop on Mobile Computing Systems and Applications (WMCSA 2003), 2003


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