881 to 890 of 905 Results
Nov 17, 2025 -
REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure
Tabular Data - 156.9 MB - 14 Variables, 3094255 Observations - UNF:6:x35X9l+ZNfWuokhB2OLREg==
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Nov 17, 2025 -
REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure
Tabular Data - 156.9 MB - 14 Variables, 3094255 Observations - UNF:6:gsVHuUA2GtiREXUdjE/UQQ==
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Nov 17, 2025 -
REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure
Tabular Data - 156.9 MB - 14 Variables, 3094255 Observations - UNF:6:qXcGeVAq+UFywAtHHAWTAA==
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Nov 17, 2025 -
REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure
Tabular Data - 156.9 MB - 14 Variables, 3094255 Observations - UNF:6:HlpF30SF5cxGnT/Ig65Rlw==
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Oct 9, 2020
Thorve, Swapna; Vullikanti, Anil; Swarup, Samarth; Marathe, Achla, 2020, "Shenandoah Valley Region household network database", https://doi.org/10.18130/V3/HDTHSN, University of Virginia Dataverse, V1
Shenandoah Valley Region (SVR) household neighborhood network database. The database contains 3 networks for the SVR region -- houses within 1 mile, 3 miles, 4 miles network. |
Oct 9, 2020 -
Shenandoah Valley Region household network database
Unknown - 15.5 GB -
MD5: 1bbbd311a1bbecb3938d5e985f6e2fdd
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Nov 4, 2019
Venkataswamy, Vanamala, 2019, "Pratikriti: A Data Replication Service in the GFFS", https://doi.org/10.18130/V3/2BM6LO, University of Virginia Dataverse, V1
This paper describes the design and implementation of Pratikriti, a data replication service with high availability, improved performance and strong data security. Pratikriti provides automatic replication for file system resources in Genesis II [1][6]. Genesis II supports the LightweightExport service [2]; which maps the data residing on local mac... |
Nov 4, 2019 -
Pratikriti: A Data Replication Service in the GFFS
Adobe PDF - 456.4 KB -
MD5: 1ea378330c9186841b14250bd7899676
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Jul 20, 2018
Grimshaw, Andrew; Venkataswamy, Vanamala, 2018, "Performance of the Global Federated File System (GFFS)", https://doi.org/10.18130/V3/YWTLHC, University of Virginia Dataverse, V2
GFFS file transfer performance on LAN and WAN |
Jul 20, 2018 -
Performance of the Global Federated File System (GFFS)
Adobe PDF - 720.7 KB -
MD5: e72935e091a94c75531974c0db255ea5
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