Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI
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Published By Springer International Publishing

9783030633929, 9783030633936

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Correction to: Performance Improvements on SNS and HFIR Instrument Data Reduction Workflows Using Mantid

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_38 ◽

2020 ◽

pp. C1-C1

Author(s):

William F. Godoy ◽

Peter F. Peterson ◽

Steven E. Hahn ◽

John Hetrick ◽

Mathieu Doucet ◽

...

Keyword(s):

Data Reduction ◽

Performance Improvements

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A Data-Integration Analysis on Road Emissions and Traffic Patterns

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_34 ◽

2020 ◽

pp. 503-517

Author(s):

Ao Qu ◽

Yu Wang ◽

Yue Hu ◽

Yanbing Wang ◽

Hiba Baroud

Keyword(s):

Data Integration ◽

Traffic Patterns ◽

Integration Analysis

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Towards a Universal Classifier for Crystallographic Space Groups: A Trickle-Down Approach to Handle Data Imbalance

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_31 ◽

2020 ◽

pp. 465-478

Author(s):

Sajal Dash ◽

Archi Dasgupta

Keyword(s):

Space Groups ◽

Data Imbalance ◽

Crystallographic Space Groups ◽

Trickle Down

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Examining and Presenting Cycles in Temperature Logs from the Vulcan Diffractometer

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_29 ◽

2020 ◽

pp. 443-450

Author(s):

Regan Moreno ◽

Chad Steed ◽

Katherine Engstrom ◽

Erik Schmidt

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Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_18 ◽

2020 ◽

pp. 269-284

Author(s):

R. Michael Churchill ◽

Jong Choi ◽

Ralph Kube ◽

C. S. Chang ◽

Scott Klasky

Keyword(s):

Machine Learning ◽

Fusion Energy ◽

Multi Scale

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Scalable Data-Intensive Geocomputation: A Design for Real-Time Continental Flood Inundation Mapping

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_9 ◽

2020 ◽

pp. 130-144

Author(s):

Yan Y. Liu ◽

Jibonananda Sanyal

Keyword(s):

Real Time ◽

Flood Inundation ◽

Data Intensive ◽

Inundation Mapping ◽

Flood Inundation Mapping

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Performance Improvements on SNS and HFIR Instrument Data Reduction Workflows Using Mantid

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_12 ◽

2020 ◽

pp. 175-186

Author(s):

William F. Godoy ◽

Peter F. Peterson ◽

Steven E. Hahn ◽

John Hetrick ◽

Mathieu Doucet ◽

...

Keyword(s):

Data Reduction ◽

Performance Improvements

Download Full-text

Software Framework for Federated Science Instruments

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_13 ◽

2020 ◽

pp. 189-203

Author(s):

Thomas Naughton ◽

Seth Hitefield ◽

Lawrence Sorrillo ◽

Nageswara Rao ◽

James Kohl ◽

...

Keyword(s):

Software Framework

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DataStates: Towards Lightweight Data Models for Deep Learning

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_8 ◽

2020 ◽

pp. 117-129

Author(s):

Bogdan Nicolae

Keyword(s):

Deep Learning ◽

Data Models

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Visualization as a Service for Scientific Data

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI ◽

10.1007/978-3-030-63393-6_11 ◽

2020 ◽

pp. 157-174

Author(s):

David Pugmire ◽

James Kress ◽

Jieyang Chen ◽

Hank Childs ◽

Jong Choi ◽

...

Keyword(s):

Scientific Data

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Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AILatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Performance Improvements on SNS and HFIR Instrument Data Reduction Workflows Using Mantid

A Data-Integration Analysis on Road Emissions and Traffic Patterns

Towards a Universal Classifier for Crystallographic Space Groups: A Trickle-Down Approach to Handle Data Imbalance

Examining and Presenting Cycles in Temperature Logs from the Vulcan Diffractometer

Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy

Scalable Data-Intensive Geocomputation: A Design for Real-Time Continental Flood Inundation Mapping

Performance Improvements on SNS and HFIR Instrument Data Reduction Workflows Using Mantid

Software Framework for Federated Science Instruments

DataStates: Towards Lightweight Data Models for Deep Learning

Visualization as a Service for Scientific Data

Communications in Computer and Information Science - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI
Latest Publications