Standards Research Data
RECOVERY-FA19 dataset is established for development and evaluation of retinal vessel detection algorithms in fluorescein angiography (FA). RECOVERY-FA19 provides 8 high-resolution ultra-widefield FA images acquired using Optos California P200DTx camera and corresponding labeled binary vessel maps.
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2754 Views
We proposed a new dataset, HazeRD, for benchmarking dehazing algorithms under realistic haze conditions. As opposed to prior datasets that made use of synthetically generated images or indoor images with unrealistic parameters for haze simulation, our outdoor dataset allows for more realistic simulation of haze with parameters that are physically realistic and justified by scattering theory.
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4494 Views
Data used on the submmitted article: "Dizang: A solution for collecting forensic evidences in cloud environments"
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126 Views
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925 Views
"3_multi-media-of-figure5.zip" includes two short videos. Both of which shows the process of Inertial Generated Timing Sequence (IGTS) works.
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72 Views
"3_multi-media-of-figure5.zip" includes two short videos. Both of which shows the process of Inertial Generated Timing Sequence (IGTS) works.
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65 Views
The files contain the research data. The noisy unprocessed audio data and processed audio data using the proposed speech enhancement method are uploaded.
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496 Views
This data set contains explementary data to demonstrate the utility of By-example data query in AutomationML
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189 Views
The paper presents a hysteresis-controlled buck converter with active pseudo-current and frequency-locked techniques. The hysteresis-controlled method accelerates the transient response in the load variation. The proposed buck converter uses phase-frequency locked technique to solve the variable switching frequency and electromagnetic disturbance problems. Therefore, the frequency-locked circuit is used to fix the switching frequency. The stable output voltage is important, when the input or output voltage is changed.
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119 Views
we have collected an annotated dataset that contains 600 fake images and 400 real images. All the fake images are generated by a generative adversarial net and all the real images are downsampled images from the ImageNet dataset. These images are evaluated by 10 workers from the Amazon Mechanical Turk (AMT) based on eight carefully defined attributes.
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413 Views