Artificial Intelligence
The dataset included 640 patients' vital records, which ranged in age from 18 to 60.
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22 Views
The uploaded file is the code of the algorithm FCNEA written in MATLAB.
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8 Views
Accurate detection and segmentation of apple trees are crucial in high throughput phenotyping, further guiding apple trees yield or quality management. A LiDAR and a camera were attached to the UAV to acquire RGB information and coordinate information of a whole orchard. The information was integrated by simultaneous localization and mapping network to form a dataset of RGB-colored point clouds. The dataset can be used for methods related to apple detection and segmentation based on point clouds.
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655 Views
This dataset is the outcome of an observation on Nigella-satvia germination under cadmium tension and Ascorbic acid based hormonal priming. Cadmium tension levels are 0, 25 and 50 Mm, respectively in this study. Ascorbic acid priming is done under 0, 50,100 and 150 mg/L and each scenario is repeated four times during this study.
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127 Views
Leveraging Social Discourse to Identify Check-worthiness of Claims for Fact-checking
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8 Views
This dataset contains 3D models of 5 objects and numerous scenes where the objects are placed randomly creating occlusions and cluttered scenes. The 3D models are to be used to find them in the scene (object recognition) and segment them as well.
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463 Views
This dataset aims to identify the polarity of tweets—whether they are supportive, oppositional, or neutral—towards the current government. It comprises a total of 26,000 tweets: 15,000 in English and 11,000 in Urdu. These tweets were collected from 80 different political users' accounts to ensure a diverse and comprehensive representation of opinions.
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650 Views
42 stimulus pictures are presented separately on the screen in the same sequences for all participants, including landscapes, people, social scenes and composite pictures. The eye tracker records the participants' gaze data on the stimulus pictures. Based on the gaze fixation position and duration, the fixation map could be visualized. We applies a 2-d convolution with a gauss filter on the fixation maps to get the visual heatmaps. The participants consist of schizophrenic patients and healthy controls.
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9 Views
We present Vocal92, a multivariate Cappella solo singing and speech audio dataset spanning around 146.73 hours sourced from volunteers. To the best of our knowledge, this is the first dataset of its kind that specifically focuses on a cappella solo singing and speech. Furthermore, we use two current state-of-the-art models to construct the singer recognition baseline system.
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33 Views
This dataset provides the high-resolution remote senisng data regarding various coastline scenes.
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295 Views