Original Research
Published on 23 Oct 2024
Exploring code portability solutions for HEP with a particle tracking test code
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2024.1485344
- 345 views
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24 articles
Articles
Mini Review
Published on 19 Oct 2023
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2023.1271639
- 5,219 views
- 3 citations
Correction
Published on 16 Oct 2023
Corrigendum: Applications and techniques for fast machine learning in science
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2023.1301942
- 1,126 views
- 1 citation
Original Research
Published on 21 Mar 2023
CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2023.899345
- 2,088 views
- 34 citations
Original Research
Published on 07 Nov 2022
Effect of the high-level trigger for detecting long-lived particles at LHCb
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2022.1008737
- 2,720 views
- 5 citations
Methods
Published on 30 Sep 2022
Using machine learning to improve neutron identification in water Cherenkov detectors
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2022.978857
- 2,743 views
- 8 citations
Original Research
Published on 17 Jun 2022
Maximum Likelihood Reconstruction of Water Cherenkov Events With Deep Generative Neural Networks
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2022.868333
- 2,687 views
- 1 citation
Review
Published on 12 Apr 2022
Applications and Techniques for Fast Machine Learning in Science
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2022.787421
- 24,649 views
- 47 citations
Original Research
Published on 23 Mar 2022
Graph Neural Networks for Charged Particle Tracking on FPGAs
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2022.828666
- 5,946 views
- 25 citations
Original Research
Published on 28 Feb 2022
Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2022.803685
- 3,403 views
- 22 citations
Community Case Study
Published on 07 Jan 2022
Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.753409
- 2,513 views
- 1 citation
Original Research
Published on 16 Nov 2021
Anomaly Detection for the Centralised Elasticsearch Service at CERN
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.718879
- 3,949 views
- 5 citations
Technology and Code
Published on 16 Nov 2021
Teeport: Break the Wall Between the Optimization Algorithms and Problems
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.734650
- 1,954 views
- 1 citation
Editorial
Published on 05 Aug 2021
Editorial: Innovative Analysis Ecosystems for HEP Data
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.736105
- 4,027 views
- 1 citation
Editorial
Published on 01 Jul 2021
Editorial: Heterogeneous Computing for AI and Big Data in High Energy Physics
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.652881
- 2,239 views
- 5 citations
Original Research
Published on 25 Jun 2021
Porting HEP Parameterized Calorimeter Simulation Code to GPUs
in Big Data and AI in High Energy Physics
Frontiers in Big Data
doi 10.3389/fdata.2021.665783
- 2,224 views
- 5 citations