3,651 to 3,660 of 5,197 Results
May 27, 2022 -
WISDM Dataset Processed
Plain Text - 2.4 KB -
MD5: abb73cd493dfb82d2b8f67661645228f
|
May 27, 2022 -
WISDM Dataset Processed
Unknown - 1.1 MB -
MD5: d4b8c01c5748ebbf0ff7e989ce47e14d
|
May 27, 2022 -
WISDM Dataset Processed
Jupyter Notebook - 3.6 MB -
MD5: afeed2166cf1740721cce8c9d7c55497
|
May 27, 2022 -
WISDM Dataset Processed
Tabular Data - 50.1 MB - 6 Variables, 1098209 Observations - UNF:6:Y3nzRauIwyzGCGoG0U2bVA==
|
May 27, 2022 -
WISDM Dataset Processed
Tabular Data - 24.9 MB - 5 Variables, 1098209 Observations - UNF:6:5/GCtB+gN+IMxeUvQcw2Rg==
|
May 27, 2022 -
WISDM Dataset Processed
Jupyter Notebook - 3.6 MB -
MD5: c56d69f98b266d74a93d4633ee454feb
|
May 27, 2022 -
WISDM Dataset Processed
Jupyter Notebook - 7.4 KB -
MD5: e9a5a0101030ad0fec5b8cdb57f087c1
|
May 27, 2022 - ADATIME
Ragab, Mohamed; Eldele, Emadeldeen, 2022, "HHAR Processed Data", https://doi.org/10.21979/N9/OWDFXO, DR-NTU (Data), V1
The Heterogeneity Human Activity Recognition (HHAR) dataset has been collected from 9 different users using sensor readings from smartphones and smartwatches. In our experiments, we consider each user as a domain. We constructed 10 cross-domain scenarios from randomly selected us... |
May 27, 2022 -
HHAR Processed Data
Jupyter Notebook - 3.6 MB -
MD5: f06bce0b77783adea5858cf390cecd72
|
May 27, 2022 -
HHAR Processed Data
Jupyter Notebook - 16.3 KB -
MD5: 97f6429c9a4d5adf4dac7a7696c4497a
|
