5,001 to 5,010 of 13,103 Results
Oct 2, 2023 - Mikogizka Satria Kartika Dataverse
Kartika, Mikogizka Satria, 2023, "Drawing App for Kids Image Dataset", https://doi.org/10.34820/FK2/4SCLCO, Telkom University Dataverse, V1
This dataset was used to train and build a model that used to build the Drawing Apps For Kids web app. This dataset was compiled as two-dimensional graphics of the numbers 0 to 9 that were manually written using the Paint program. Each data class's 200 images have a varied resolu... |
Oct 2, 2023 -
Drawing App for Kids Image Dataset
RAR Archive - 44.3 MB - MD5: 521f5ecc25dcbfddce313aa9e59a091a
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Oct 2, 2023 -
Drawing App for Kids Image Dataset
RAR Archive - 4.5 MB - MD5: f9d774b3eacb5e32a7b1c781dc551cb9
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Oct 2, 2023 -
Drawing App for Kids Image Dataset
RAR Archive - 31.4 MB - MD5: 06ec3913d678618cc0a9f75b74e423bc
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Oct 2, 2023 -
Drawing App for Kids Image Dataset
RAR Archive - 8.9 MB - MD5: 227e771c9e817f3b591efd3903409506
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Oct 2, 2023 - Dedy Rahman Wijaya Dataverse
Wijaya, Dedy Rahman; Wijaya, Dedy Rahman, 2023, "Dataset for non-infused aroma-based quality identification of Gambung green tea using electronic nose", https://doi.org/10.34820/FK2/NNAL9K, Telkom University Dataverse, V1, UNF:6:HIrxUS/O2lfpkjEvq/3zgA== [fileUNF]
This experiment focuses on the analysis of green tea aroma using a set of gas sensors. Specifically, the gas sensors selected for this research are the TGS822, TGS2602, TGS2620, MQ138, MQ5, and MQ3. The experiment involved testing a total of 78 different tea samples (chops), with... |
Oct 2, 2023 -
Dataset for non-infused aroma-based quality identification of Gambung green tea using electronic nose
Tab-Delimited - 834.6 KB - MD5: 1157233429e522196e85366fcaa768b1
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Oct 2, 2023
Hilda Nuraliza; Muharman Lubis, 2023, "Sentiment tweet of G20's Performance", https://doi.org/10.34820/FK2/HRLPIR, Telkom University Dataverse, V1
this dataset containing sentiment tweet about G20 performance in Indonesia |
Oct 2, 2023 -
Sentiment tweet of G20's Performance
Comma Separated Values - 66.7 KB - MD5: 03e292c6630b28299bc87b789ce0058f
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Oct 2, 2023
Hilda Nuraliza; Muharman Lubis, 2023, "Metaverse Tweet", https://doi.org/10.34820/FK2/MAD4PH, Telkom University Dataverse, V1
this dataset containing sentiment tweet about metaverse |
