Hyperdimensional Computing Library for Genomics Data
doi: 10.4121/30b082a0-96da-4f29-8341-bf99aae931c9.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/30b082a0-96da-4f29-8341-bf99aae931c9
doi: 10.4121/30b082a0-96da-4f29-8341-bf99aae931c9
Datacite citation style:
Shahroodi, Taha (2023): Hyperdimensional Computing Library for Genomics Data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/30b082a0-96da-4f29-8341-bf99aae931c9.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Datasets and implementations used for the software evaluation of the paper titled Demeter: A Fast and Energy-Efficient Food Profiler Using Hyperdimensional Computing in Memory
history
- 2023-09-04 first online, published, posted
publisher
4TU.ResearchData
format
zipped shape files
associated peer-reviewed publication
Demeter: A Fast and Energy-Efficient Food Profiler Using Hyperdimensional Computing in Memory
references
organizations
TU Delft, Faculty of Engineering, Mathematics and Computer Science (EEMCS/EWI), Department of Quantum & Computer Engineering (QCE)Eidgenössische Technische Hochschule (ETH) Zürich
DATA - restricted access
Reason
Discussions in the Data Management Plan (DMP) Agreement.
End User Licence Agreement
The data that support all the results within this paper and other findings of this study are available from the corresponding author upon reasonable request.
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