A refined data from supplementary materials of "Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost". Rows with invalid age values were removed and feature columns were selected, and the data type of each column was adjusted.
Reverberation chamber (RC) is a metal cavity which is often used for EMC measurements. During the last couple of decades, RC has proved to be a useful tool for Over-the-air (OTA) measurements such as antenna efficiency, diversity gain, etc. A well stirred RC produces Rayleigh fading environment which is considered as a common test environment for testing and simulating performance of wireless devices such as mobile phones in GSM, WCDMA, UMTS and LTE frequency ranges.
The dataset contains drone measurements of traffic at highway entrances/exits in Austria and Italy. Main features:
This dataset contains the sEMG signals under low, medium, and high loads when 6 subjects performing ankle movements.
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.
This dataset has been used to evaluate different consistent hashing algorithms for non-peer-to-peer contexts. Further information can be found at https://github.com/SUPSI-DTI-ISIN/java-consistent-hashing-algorithms
The repository contains the data collected during User Behavior Experiment (UBE) in [1].
References:
[1] D. Wei and S. Han, "An experimental study of recommendation for wireless edge caching," in Proc. IEEE ICCC, 2022.
The abstract will be written once the manuscript is accepted.
Access to potable water is a critical requirement for human survival. Beyond drinking, water is also necessary for animal consumption, irrigation, as well as domestic and commercial uses. Laboratory assessments of water samples to determine their fitness for use is a vital step in water quality assurance processes. However, laboratory assessments require adherence to stringent measures, which might be difficult to comply with.
The presented dataset is a hybrid solution between the simulated datasets and the ones based on real data. Furthermore, the main advantages and uniquenesses of the proposed work are: i) data variability, in terms of the operating states of the electrical loads and the adoption of appropriate consumption models; ii) the total number of available electrical parameters (433 in our case) enormously larger than the above-cited datasets, as the full analysis of frequency behaviors and harmonic computations; iii) the seasonality of the data.
