Artificial Intelligence
Prior researches have shown the potential that WiFi signals could be used for human activities recognition (HAR), or monitor a person's gait for human identification (HI). Recently researchers pay more attention to the impact of environmental factors such as activity orientation, walking trajectory, WiFi device location, etc. on the HAR or HI tasks' performance.
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477 Views
The data set is about different parameters that are important for monitoring the "Engine Condition" and predicting its status as "Engine is Good or Bad".
Keywords-:
1.Engine rpm
2 Lub oil temperature
3.Coolant temperature
4.Fuel pressure
5.Lub oil pressure
6.Coolant pressure
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3568 Views
The problem of effective disposal of the trash generated by people has rightfully attracted major interest from various sections of society in recent times. Recently, deep learning solutions have been proposed to design automated mechanisms to segregate waste. However, most datasets used for this purpose are not adequate. In this paper, we introduce a new dataset, TrashBox, containing 17,785 images across seven different classes, including medical and e-waste classes which are not included in any other existing dataset.
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1120 Views
Guava fruit production is one of the main sources of economic growth in Asian countries, the world production of guava in 2019 was 55 million tons. Guava disease is an important factor in economic loss as well as quantity and quality of guava. The original guava fruit disease dataset consist of 38 images of phytophthora, 30 images of root and 34 images of scab guava disease with 650x650x3 pixel.
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1295 Views
This is a manually curated corpus for the LOD dataset classification task. The corpus includes datasets from three sources: (i) ontologies indexed by LOV, (ii) datasets crawled by LOD Laundromat, (iii) the Topic
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71 Views
A synthetic laser reliability dataset generated using generative adversarial networks (GANs) is provided. The data includes normalized current measurements estimated at the following times: 2, 20, 40, 60, 80, 100, 150, 500, 1000, and 1500 hours. The data can be used to train machine learning models to solve different predictive maintenance tasks such as prediction of performance degradation, remainng useful prediction, and so on.
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146 Views
This dataset is a face dataset collected for the purpose of a face anti-spoofing study.
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175 Views
The dataset contains labeled sentences. The sentences having information related to (1) infections, (2) suffering from pneumonea, (3) deaths, and (4) health updates from government/WHO, are labeled with 1 and the rest are labeled with 0. Source of all the news articles: https://www.thehindu.com/archive/
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130 Views
Building segmentation image data set
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423 Views
This dataset is for doa estimation when an amplitude-phase error exists.
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262 Views