Artificial Intelligence
This data set is the result of model test trained on the basis of the Stanford earthquake dataset (stead): a global data set of seismic signals for AI, which can effectively get the seismic signal and the arrival time of seismic phase from the image, so as to prove the effectiveness of this model
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582 Views
The dataset consists of the ISFET sensor data utilized to train ML models for drift compensation.
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465 Views
A Multi-Agent Approach for Personalized Hypertension Risk Prediction
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490 Views
Trajectory generation for robotic pick-and-place task using nested double-memory deep deterministic policy gradient.
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131 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.
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3415 Views
The data-set used in the paper titled "Short-Term Load Forecasting Using an LSTM Neural Network."
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1590 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.
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421 Views
Data for outlier test
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121 Views
This file is the related program and data of a deep interpolation convnet for bearing fault classification under complex conditions
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269 Views
Time series univariate
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1254 Views