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The dataset includes sample indoor and outdoor sequences with considerable variations in illumination.

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Evidence-based guidelines have been proved to exhibit a positive impact on the quality of the treatment process. However, their influence on patient care remains limited. For the success and effectiveness of clinical guidelines, a fast and clear provision of knowledge at the point of care for all treating physicians is essential. A uniform formal representation is developed so that the knowledge extracted from the patient data is consistently presented at the human-machine interface.

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The steganography and steganalysis of audio, especially compressed audio, have drawn increasing attention in recent years, and various algorithms are proposed. However, there is no standard public dataset for us to verify the efficiency of each proposed algorithm. Therefore, to promote the study field, we construct a dataset including 33038 stereo WAV audio clips with a sampling rate of 44.1 kHz and duration of 10s. And, all audio files are from the Internet through data crawling, which is for a better simulation of a real detection environment.

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The file named "2011bench-110certain" is the basic data. The file named "ontology-cloud-uncertainy" is the modified uncertain ontologies. The file named "MerggingResult" is the experimental results of ontology merging.
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The file named "2011bench-110certain" is the basic data. The file named "ontology-cloud-uncertainy" is the modified uncertain ontologies. The file named "MerggingResult" is the experimental results of ontology merging.
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This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection in psychiatric classification.

The datasets given in the Links section are reduced subsets of those contained in their respective tar files (a consequence of Mendeley Data's 10GB limitation).

The Linked datasets (not the tar files) contain just the MATLAB file and the resting state image (or block-design fMRI for the MRN dataset), where appropriate.

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These data include field potential recordings from human pluripotent stem cells-derived cardiomyocytes. The data are recorded by Cardio2D software and analyzed offline by Cardio2D+. The characteristics of the field potentials such as field potential amplitude, field potential duration and beating duration as well as beating frequency, were obtained. Based on these characteristics, the field potentials were categorized to normal or arrhythmic by two electrophysiology experts.

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This dataset is a companion to a paper, "Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars" by DeLatte et al. 2019. DOI link: http://dx.doi.org/10.1109/JSTARS.2019.2918302

 

These are the segmentation target files for the three targets described in the paper: solid filled, thicker edge, and thinner edge. 

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The data contains BTC Blockchain ledger of 100M, from February 3, 2009 to April 25, 2011. It also includes analysis results of the ledger: 10 characteristic indicators and 2 money laundering models.

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This raw data was used in a study looking at the correlations between 10 image quality metrics (IQMs) and the subjective image quality scores of expert radiologists. Nine MR images of the abdomin and of the brain were retrospectively degraded by noise, motion, undersampling, compression, and blurring. Each of these images we then evaluated by the radiologists and the IQM scores were calculated. This data set is made up of the radiologists' scores and the IQM scores.

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This dataset was generated on a small-scale process automation scenario using MODBUS/TCP equipment, for research on the application of ML techniques to cybersecurity in Industrial Control Systems. The testbed emulates a CPS process controlled by a SCADA system using the MODBUS/TCP protocol. It consists of a liquid pump simulated by an electric motor controlled by a variable frequency drive (allowing for multiple rotor speeds), which in its turn controlled by a Programmable Logic Controller (PLC).

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PCA was then used in each group of variables to construct specific features for the CTT and GT. All extracted components are listed in the appendix.

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There are 3 data files in total for this data set, 1 for Experiment 1 and 2 for Experiment 2. The File Experiment 1.csv contains 12 matrices for Experiment 1, which are the opinions of the decision makers with the pairwise comparison of alternatives in the form of the linguistic preference relations. The File Experiment 2-1.csv contains 51 matrices, which denote the opinions of the decision makers with the pairwise comparison of alternatives in the form of the Linguistic Discrete Region.

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All primes can be indexed by $k$, as primes must be in the form of

$6k+1$ or $6k-1$. In this paper, we explore for what $k$ such that

either $6k+1$ or $6k-1$ is not a prime. The results can sieve primes

and especially twin primes.

 

$k \in S_{l} \Rightarrow 6k-1 \not \in \mathbb{P}$, $k \in S_{r}

\Rightarrow 6k+1 \not \in \mathbb{P},$ where $S_{l} = [-I]_{6I+1} =

[I]_{6I-1} \backslash \min([I]_{6I-1}), I \in \mathbb{N},$ and

$S_{r} = [-I]_{6I-1} \cup [I]_{6I+1} \backslash \min([I]_{6I+1}), I

\in \mathbb{N}.$ That is,

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In current study, a new silicon-on-insulator (SOI) lateral-double-diffused metal-oxide-semiconductor field-effect transistor (LDMOSFET) is offered. Altering charge distribution causes less electric field crowding and enhanced breakdown voltage (VBR). For amending charge distribution, a metal region (COLUMN) and an air layer in the transistor are used.

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Lists of file hashes used in SDAC: A Slow-Aging Solution for Android Malware Detection Using Semantic Distance Based API Clustering

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