CSV
Near-field microwave detection plays a crucial role in various applications such as medical diagnosis, non-destructive and electromagnetic compatibility (EMC) tests. This dataset presents the original data of the microwave sensor exploiting the magnon-photon coupling properties. This scheme offers a novel approach to microwave metrology with promising applications in microwave imaging, EMC tests, and integrated circuit design.
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19 Views
Along with the continuous growth of Internet usage, mobile users are becoming increasingly relevant as they are responsible for the largest percentage of web traffic. Conse- quently, a large and growing body of literature has been based on cellular data to gain a deeper understanding of several Internet-related concerns. Nevertheless, accessing high-quality cellular datasets can be a challenge for research teams due to scarcity and restricted access.
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227 Views
The networks are stored under the data/ folder, one file per network. The filename should be <network>.csv.
One line per interaction/edge.
Each line should be: user, item, timestamp, state label, comma-separated array of features.
First line is the network format.
User and item fields can be alphanumeric.
Timestamp should be in cardinal format (not in datetime).
State label should be 1 whenever the user state changes, 0 otherwise. If there are no state labels, use 0 for all interactions.
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15 Views
The JKU-ITS AVDM contains data from 17 participants performing different tasks with various levels of distraction.
The data collection was carried out in accordance with the relevant guidelines and regulations and informed consent was obtained from all participants.
The dataset was collected using the JKU-ITS research vehicle with automated capabilities under different illumination and weather conditions along a secure test route within the
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933 Views
Nasal Cytology, or Rhinology, is the subfield of otolaryngology, focused on the microscope observation of samples of the nasal mucosa, aimed to recognize cells of different types, to spot and diagnose ongoing pathologies. Such methodology can claim good accuracy in diagnosing rhinitis and infections, being very cheap and accessible without any instrument more complex than a microscope, even optical ones.
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815 Views
a Sinkhole attack in a dataset, we'll generate data that typically reflects network traffic and interactions, where some nodes act as sinkholes by attracting all or most of the traffic due to malicious intent. Here's how I'll structure the dataset for 80,000 records:
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337 Views
a dataset with 50,000 records simulating a Sybil attack scenario. Here's the plan for each record in the dataset:
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466 Views
The LIAR dataset has been widely followed by fake news detection researchers since its release, and along with a great deal of research, the community has provided a variety of feedback on the dataset to improve it. We adopted these feedbacks and released the LIAR2 dataset, a new benchmark dataset of ~23k manually labeled by professional fact-checkers for fake news detection tasks.
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355 Views
The datasets comprise configurations of loading and unloading plans for container ships, generated under six distinct scenarios based on varying numbers of stacks and maximum stack heights of containers in each row. Considering typical container ship characteristics, scenarios encompass stack numbers ranging from 5 to 30 and maximum stack heights from 4 to 10. The dataset includes loading and unloading plans for dockyard containers, with sample plans provided for small ships. Each of the 5 datasets comprises 20 instances representing different container loading and unloading scenarios.
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236 Views
This dataset contains the online appendix of the paper titled "The effectiveness of hidden dependence metrics in bug prediction"
Abstract:
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100 Views