Machine Learning
In this paper, we consider that the unmanned aerial vehicles (UAVs) with attached intelligent reflecting surfaces (IRSs) play the role of flying reflectors that reflect the signal of users to the destination, and utilize the power-domain non-orthogonal multiple access (PD-NOMA) scheme in the uplink. We investigate the benefits of the UAV-IRS on the internet of things (IoT) networks that improve the freshness of collected data of the IoT devices via optimizing power, sub-carrier, and trajectory variables, as well as, the phase shift matrix elements.
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569 Views
Any work using this dataset should cite the following paper:
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9410 Views
Emotion recognition can be achieved by our proposed brain rhythm sequencing method.
We will provide different versions based on diverse approaches derived from brain rhythm sequencing.
Please find more details attached.
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688 Views
Dataset contains generated traffic from single requests towards DNS and DNS over Encryption servers as well as network traffic generated by browsers towards multiple DNS over HTTPS servers. The dataset contains also logs and csv files with queried domains. The IP addresses of the DoH servers are provided in the readme so that users can easily label the data extracted from pcap files. The dataset may be used for Machine Learning purposes (DNS over HTTPS identification).
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1194 Views
COVIFN is a CoVID-19-specific dataset that consists of fact-checked fake news scraped from Poynter and true news from news publishers' verified portals. The dataset was pre-processed, the removal of special characters and non-vital information is performed.
The file contains columns such as:
Date: publish date of news article
country: country the article is about
text: the news article content
label: fake or real news label
URL: the fact-checked site
source: original news source site
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2463 Views
Any work using this dataset should cite the following paper:
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1831 Views
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1653 Views
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1963 Views
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These simulated live cell microscopy sequences were generated by the CytoPacq web service https://cbia.fi.muni.cz/simulator [R1]. The dataset is composed of 51 2D sequences and 41 3D sequences. The 2D sequences are divided into distinct 44 training and 7 test sets. The 3D sequences are divided into distinct 34 training and 7 test sets. Each sequence contains up to 200 frames.
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304 Views