Artificial Intelligence
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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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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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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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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Building segmentation image data set
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These datasets contain the database of the local television channels in the greater manila area (GMA) in the Philippines as of 2020. There are 8 databases corresponding to 8 eight channels namely Channel4.xlsx, Channel5.xlsx, Channel7.xlsx, Channel9.xlsx, Channel11.xlsx,
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Touch-screens are the basic and convenient human-computer interface. They are extensively used in digital musical applications, where a complex action-perception loop is involved. Therefore, it is crucial to establish a rich vibrotacticle feedback to improve the quality of the user's interaction. This paper explores the capacity of Generative Adversarial Networks (GANs) to generate time-reversed signals that can achieve localized vibrotactile feedback on a rigid surface.
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A converstional stance detection dataset.
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