We provided a new set of extreme low-light datasets of short exposure raw images in RGB format and long-exposure reference images of the same scenes.

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This is the supplementary material for the paper  "A multimodal AI system for out-of-distribution generalization of seizure identification" in IEEE Journal of Biomedical and Health Informatics. 

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QQP and Mechanical Field Q&A

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Asthma is a common, usually long-term respiratory disease with negative impact on society and the economy worldwide. Treatment involves using medical devices (inhalers) that distribute medicationto the airways, and its efficiency depends on the precision of the inhalation technique. Health monitoring systems equipped with sensors and embedded with sound signal detection enable the recognition of drug actuation and could be powerful tools for reliable audio content analysis.

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The leakage data of the natural gas pipeline comes from the simulated leakage device of the pressure pipeline. The pipeline material is seamless steel pipe, the outer diameter of the pipeline is 108mm, the wall thickness of the pipeline is 4.5mm, and the length of the pipeline is about 100m. According to the specifications of the air compressor and air storage tank (the maximum allowable pressure is 2Mpa) and the standard of high-pressure and sub-high-pressure pipeline gas transmission pressure, the selected experimental pressure range is 0.5Mpa to 2Mpa.

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文件名为中国车牌号,图像为BMP格式

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This dataset was prepared to aid in the creation of a machine learning algorithm that would classify the white blood cells in thin blood smears of juvenile Visayan warty pigs. The creation of this dataset was deemed imperative because of the limited availability of blood smear images collected from the critically endangered species on the internet. The dataset contains 3,457 images of various types of white blood cells (JPEG) with accompanying cell type labels (XLSX).

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This repository contains the data related to the paper “CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging” (10.1109/TUFFC.2021.3131383). It contains multiple datasets used for training and testing, as well as the trained models and results (predictions and metrics). In particular, it contains a large-scale simulated training dataset composed of 31000 images for the three different imaging configuration considered (i.e., low quality, high quality, and ultrahigh quality).

Instructions: 

The detailed description of the data available in this repository can be found online at https://github.com/dperdios/dui-ultrafast/#data.

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EEG consists of collecting information from brain activity in the form of electrical voltage. Epileptic Seizure prediction and detection is a major sought after research nowadays. This dataset contains data from 11 patients of whom seizures are observed in EEG for 2 patients.

 

The total duration of seizures is 170 seconds. The number of channels is 16 and data is collected at 256Hz sampling rate.

 

The final dataset files in .csv format contain 87040 rows x 17 columns,

 

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Automated driving in public traffic still faces many technical and legal challenges. However, automating vehicles at low speeds in controlled industrial environments is already achievable today. A reliable obstacle detection is mandatory to prevent accidents. Recent advances in convolutional neural network-based algorithms have made it conceivable to replace distance measuring laser scanners with common monocameras.

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