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This research has produced datasets that can be used openly for other researchers. The dataset is compiled from images of woven fabrics originating from the East Nusa Tenggara Province of Indonesia. A total of 68 fabrics from six districts have been grouped and gone through the image embedding process to become RAW numerical data for further processing. By using Logistic Regression, the classifier accuracy rate for this dataset is only 79.4%. For that other researchers can contribute to improve this accuracy.
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This letter presents a random forest regression (RFR)-based adaptive power allocation (APA) scheme to predict an optimized power factor for user's fair access to data rate in a downlink mmWave non-orthogonal multiple access systems. Notably, the proposed APA scheme learns from the sum rates dataset associated with both distance and inverse pathloss (power factor optimization) models to predict optimized power factors with respect to average value approach.
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The dataset contains two industrial cases with measurement devices installed at the medium voltage bus entrance and at the target load to be identified. It can be used for the research of non-invasive load monitoring algorithms. The types of data measured include three-phase voltage, current, active power, reactive power, as well as the amplitude and phase angle of each harmonic.
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1478 Views
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.
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581 Views
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.
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154 Views
The dataset contains drone measurements of traffic at highway entrances/exits in Austria and Italy. Main features:
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376 Views
This dataset contains the sEMG signals under low, medium, and high loads when 6 subjects performing ankle movements.
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500 Views
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.
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752 Views
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
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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.
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578 Views