This dataset contains the benchmark files that used in "Reclaimer Scheduling in Dry Bulk Terminals", IEEE Acccess, 2020.

Instructions: 

The data files are in IBM CPLEX Optimization Studio format. For parameter names, please refer to the article.

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Data (Non-Gaussian Noises and Measurement Information Loss)

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Oil and gas dataset

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Data corresponds to quantitative (raw) effort assessments/predictions during maintenance process of a sample of 1000 possible instances of the general selection problem among Visitor and Inheritance Based Implementation over the Composite design patterns (CIBI vs CVP).

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*This datasheet is being updated progressively to provide more details.

This datasheet provides the phasor measurement data in actual power systems.

These PMU data were recorded during a Low Frequency Oscillation incident and a Short Circuit Incident, respectively.

These PMU data are used for the studies in wide-area control systems (WACS) and PMU data compressions.

Please cite this datasheet and the papers in your work if they help.

Instructions: 

Refer to the documentation file for detailed information.

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493 Views

The PRIME-FP20 dataset is established for development and evaluation of retinal vessel segmentation algorithms in ultra-widefield (UWF) fundus photography (FP). PRIME-FP20 provides 15 high-resolution UWF FP images acquired using the Optos 200Tx camera (Optos plc, Dunfermline, United Kingdom), the corresponding labeled binary vessel maps, and the corresponding binary masks for the valid data region for the images. For each UWF FP image, a concurrently captured UWF fluorescein angiography (FA) is also included. 

Instructions: 

UWF FP images, UWF FA images, labeled UWF FP vessel maps, and binary UWF FP validity masks are provided, where the file names indicate the correspondence among them.

 

Users of the dataset should cite the following paper

L. Ding, A. E. Kuriyan, R. S. Ramchandran, C. C. Wykoff, and G. Sharma, ``Weakly-supervised vessel detection in ultra-widefield fundus photography via iterative multi-modal registration and learning,'' IEEE Trans. Medical Imaging, accepted for publication, to appear.

 

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517 Views

Several pathological phenomena are closely associated with mechanical properties of vessel and interactions of blood flow–wall dynamics. However, conventional techniques cannot easily measure these features. In this study, new deep learning-based simultaneous measurement of flow–wall dynamics (DL-SFW) is proposed by devising integrated neural network for super-resolved localization and vessel wall segmentation and combining with tissue motion measurement technique and flow velocimetry.

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144 Views

Each voice sample is stored as a .WAV file, which is then pre-processed for acoustic analysis using the specan function from the WarbleR R package. Specan measures 22 acoustic parameters on acoustic signals for which the start and end times are provided.

The output from the pre-processed WAV files were saved into a CSV file, containing 3168 rows and 21 columns (20 columns for each feature and one label column for the classification of male or female).

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331 Views

This is an example of clustering to replicate OpenNym experiments

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An ontology for the multidisciplinary phenomenon of creating web application ove encrypted data

Instructions: 

The ontology OWL file is generated using protege tool and can be imported for future modifications.

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