Artificial Intelligence
A Multi-Agent Approach for Personalized Hypertension Risk Prediction
- Categories:
470 Views
Trajectory generation for robotic pick-and-place task using nested double-memory deep deterministic policy gradient.
- Categories:
116 Views
YonseiStressImageDatabase is a database built for image-based stress recognition research. We designed an experimental scenario consisting of steps that cause or do not cause stress; Native Language Script Reading, Native Language Interview, Non-native Language Script Reading, Non-native Language Interview. And during the experiment, the subjects were photographed with Kinect v2. We cannot disclose the original image due to privacy issues, so we release feature maps obtained by passing through the network.
- Categories:
3200 Views
The data-set used in the paper titled "Short-Term Load Forecasting Using an LSTM Neural Network."
- Categories:
1574 Views
Given the difficulty to handle planetary data we provide downloadable files in PNG format from the missions Chang'E-3 and Chang'E-4. In addition to a set of scripts to do the conversion given a different PDS4 Dataset.
- Categories:
414 Views
Data for outlier test
- Categories:
118 Views
This file is the related program and data of a deep interpolation convnet for bearing fault classification under complex conditions
- Categories:
266 Views
Time series univariate
- Categories:
1237 Views
Synthetic data 1: A network contains nine communities. The nodes insides the community are closely connected, and the nodes between communities are sparsely connected.
Synthetic data 2: A network contains nine communities. There are some nodes that connect the nodes in different communities at the same time.
- Categories:
365 Views
Animal recognition is an active research topic in recent years. Horse’s recognition is an important task in the world and in order to promote horse’s recognition research, the Tunisian Research Groups in Intelligent Machines of University of Sfax (REGIM of Sfax) will provide the Tunisian Horses DataBase of Regim Lab’2015 (THoDBRL’2015) freely of charge to mainly horses’ face recognition researchers and to increase total of researches done to enhance animal recognition. This Database is used in [1].
- Categories:
946 Views