Machine Learning

Dataset for electronic nose from various beef cuts

The development of electronic nose (e-nose) for a rapid, simple, and low-cost meat assessment system becomes the concern of researchers in recent years. Hence, we provide time-series datasets that were recorded from e-nose for beef quality monitoring experiment. This dataset is originated from 12 type of beef cuts including round (shank), top sirloin, tenderloin, flap meat (flank), striploin (shortloin), brisket, clod/chuck, skirt meat (plate), inside/outside, rib eye, shin, and fat.

Categories:: IoT
Machine Learning
Sensors
Signal Processing

1631 Views

Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset)

BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer participants), and (2) Emotiv based Dataset (collected from 27 volunteer participants over several months in 2019).

Categories:: Machine Learning
Sensors
Security
Neuroscience
Brain
Wearable Sensing

4070 Views

Detecting XSS attacks by combining CNN with LSTM

Categories:: Machine Learning
Security

2902 Views

Trained NN

Categories:: Machine Learning

172 Views

WiFi RSSI Indoor Localization

A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.

Categories:: Artificial Intelligence
IoT
Machine Learning

8860 Views

Water Quality Monitoring Data

This is an observation data for water quality monitoring.

Categories:: Machine Learning
Climate Change/Environmental

1459 Views

Handwritten Telugu Gunintam క (Ka)

Dataset for Telugu Handwritten Gunintam

Categories:: Computer Vision
Image Processing
Machine Learning

625 Views

Machining Data

Multi-type residual data (vibrations, sound, magnetic intensity) collected from 3D printers & CNC machines.

Categories:: IoT
Machine Learning
Sensors

1128 Views

Combining machine learning and metabolomics to identify weight gain biomarkers

This dataset was used in the article "Dias-Audibert FL, Navarro LC, de Oliveira DN, Delafiori J, Melo CFOR, Guerreiro TM, Rosa FT, Petenuci DL, Watanabe MAE, Velloso LA, Rocha AR and Catharino RR (2020) Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. Front. Bioeng. Biotechnol. 8:6. doi: 10.3389/fbioe.2020.00006", open access available at: https://doi.org/10.3389/fbioe.2020.00006.