Artificial Intelligence
This work aims to identify anomalous patterns that could be associated with performance degradation and failures in datacenter nodes, such as Virtual Machines or Virtual Machines clusters. The early detection of anomalies can enable early remediation measures, such as Virtual Machines migration and resource reallocation before losses occur. One way to detect anomalous patterns in datacenter nodes is using monitoring data from the nodes, such as CPU and memory utilization.
- Categories:
743 Views
We propose a real world data set comprising light field images of 19 objects captured with the Lytro Illum camera in outdoor scenes and their corresponding 3D point clouds, as ground truth, captured with the 3dMD scanner. This data set allows more precise 3D pointcloud level comparison of algorithms for the task of depth estimation or 3D point cloud reconstruction from light field images.
- Categories:
288 Views
FARLEAD2 receives a test scenario from the developer, and verifies a related functional behavior by witnessing the test scenario in the Application Under Test, on a real mobile device. The 'results.zip' file contains 204 Comma-Separated Values (CSV) files and a Perl script 'createtable.pl' that generates Table 2 in the manuscript. Each CSV file contains the results of ten runs of a witness generator for a test scenario under a given level of information. The experimental test scenarios are located in the 'scenarios.zip' file.
- Categories:
5 Views
Weibo_senti_100k sentiment classification data set is a two-class classification data set, the average length is 42.9 words. This data set contains 100,000 pieces of Sina weibo text data, including two categories.THUCNews news classification data set contains 50,000 pieces of data, the average length is 534.53 words, including 10 categories.
- Categories:
289 Views
The support dataset for paper "Prediction for loosening life of bolted joints using IMUs with dimensionality reduction"
- Categories:
119 Views
Our dataset can be used to study the relationship between infrared video, EEG and sleep classification, as well as for cross-modal studies. The final version of the dataset contains synchronised IR video features, EEG and labels. We have spent about two years collecting a new dataset. Existing sleep datasets (e.g., MASS, SHHS, Sleep-EDF) contain only physiological electrical signals (EEG, EOG, EMG, etc.). Our dataset contains both these and simultaneous infrared sleep video data.
- Categories:
305 Views
Here are 3 public datasets on relation extraction.
- Categories:
68 Views
130 videos are available, captured in Patras, Greece, displaying drivers in real cars, moving under nighttime conditions where drowsiness detection is more important.The participating drivers are: 11 males and 10 females with different features (hair color, beard, glasses, etc). The videos are split in 2 categories:
- Categories:
1835 Views
content-based dataset that composes of 12 features for eight common types of files (JPG, PNG, HTML, TXT, MP4, M4A, MOV, and MP3) to be suitable for file type identification (FTI). These features were extracted from pool of file fragment of size 512 byte each from all the prementioned eight types. This dataset is developed in such a way that can be used for supervised and unsupervised ML model. It provides the ability to classifying and clustering the above-mentioned type into two levels.
- Categories:
68 Views