82 citations · 201 across the 15 of their papers we have counts for
18 papers
Physics-guided spatiotemporal neural models for fuel density prediction
Tolga Caglar, Jaynil Jaiswal, Saqib Azim +3
This paper presents a physics-guided machine learning (PGML) framework for fuel density prediction, integrating physics constraints and domain knowledge into deep learning models t…
A Terminology for Scientific Workflow Systems
Frédéric Suter, Tainã Coleman, İlkay Altintaş +23
The term scientific workflow has evolved over the last two decades to encompass a broad range of compositions of interdependent compute tasks and data movements. It has also become…
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…
Multimodal Wildland Fire Smoke Detection
Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra +9
Research has shown that climate change creates warmer temperatures and drier conditions, leading to longer wildfire seasons and increased wildfire risks in the United States. These…
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing
Ilkay Altintas, Ismael Perez, Dmitry Mishin +8
Influenced by the advances in data and computing, the scientific practice increasingly involves machine learning and artificial intelligence driven methods which requires specializ…
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection
Anshuman Dewangan, Yash Pande, Hans-Werner Braun +5
The size and frequency of wildland fires in the western United States have dramatically increased in recent years. On high-fire-risk days, a small fire ignition can rapidly grow an…
A Community Roadmap for Scientific Workflows Research and Development
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +26
The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a…
Computing Research for the Climate Crisis
Nadya Bliss, Elizabeth Bradley, Claire Monteleoni
Climate change is an existential threat to the United States and the world. Inevitably, computing will play a key role in mitigation, adaptation, and resilience in response to this…
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +55
Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned some of the most significant discoveries of the last decade. Many of these workflow…
Workflows Community Summit: Bringing the Scientific Workflows Community Together
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +42
Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of…
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning
Bosung Seo, Daniel Mariano, John Beckfield +6
The goal of this project is to use magnetic resonance imaging (MRI) data to provide an end-to-end analytics pipeline for left and right ventricle (LV and RV) segmentation. Another…
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure
Ilkay Altintas, Kyle Marcus, Isaac Nealey +7
The advances in data, computing and networking over the last two decades led to a shift in many application domains that includes machine learning on big data as a part of the scie…
Towards A Methodology and Framework for Workflow-Driven Team Science
Ilkay Altintas, Shweta Purawat, Daniel Crawl +2
Scientific workflows are powerful tools for management of scalable experiments, often composed of complex tasks running on distributed resources. Existing cyberinfrastructure provi…
Ten Simple Rules for Reproducible Research in Jupyter Notebooks
Adam Rule, Amanda Birmingham, Cristal Zuniga +8
Reproducibility of computational studies is a hallmark of scientific methodology. It enables researchers to build with confidence on the methods and findings of others, reuse and e…
Enabling FAIR Research in Earth Science through Research Objects
Andres Garcia-Silva, Jose Manuel Gomez-Perez, Raul Palma +24
Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement,…
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning
Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy +4
In the United States, heart disease is the leading cause of death for both men and women, accounting for 610,000 deaths each year [1]. Physicians use Magnetic Resonance Imaging (MR…
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows
Alok Singh, Eric Stephan, Malachi Schram +1
Distributed computing platforms provide a robust mechanism to perform large-scale computations by splitting the task and data among multiple locations, possibly located thousands o…
Modular Resource Centric Learning for Workflow Performance Prediction
Alok Singh, Mai Nguyen, Shweta Purawat +2
Workflows provide an expressive programming model for fine-grained control of large-scale applications in distributed computing environments. Accurate estimates of complex workflow…