*.avi; *.csv; *.txt; *.zip
This dataset includes a subset of the InSDN Dataset to examine the effects of various flow-to-image conversion techniques on the performance of intrusion detection systems (IDS). The dataset contains five types of attacks: Denial of Service (DoS), Distributed Denial of Service (DDoS), Probe, Normal, and Brute Force Attack (BFA). Each instance represents a network flow, which is converted into an image using: Method 1: applies the Image Generator for Tabular Data (IGTD) framework using Euclidean distance, transforming tabular data into grayscale images.
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294 Views
This study presents a comprehensive dataset to analyze risk factors associated with cardiovascular disease. The dataset comprises various patient attributes, including gender, age, total cholesterol, HDL (high-density lipoprotein), triglycerides, non-HDL (non-high-density lipoprotein), NIH-Equ-2, and direct LDL (low-density lipoprotein). These attributes comprise 25,991 patient data, robustly representing a large population sample.
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600 Views
In this letter, a novel shrinking long period fiber grating(S-LPFG) is designed. This strain sensor is fabricated through mechanical polishing and arc-discharging, allowing for certain control over its sensitivity to strain. The single-mode fiber(SMF) is first preprocessed into a D-shaped fiber(DSF) through polishing. Then, a periodic melting-induced shrinking is applied to the fiber through arc-discharging modulation. The polishing and shrinking enhance the asymmetry of the single-mode fiber.
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13 Views
This data repository contains test data and corresponding test code for evaluating the performance of a machine learning model. The dataset includes 950 labeled samples across 7 different classes. The test code provides implementations of several common evaluation metrics, including accuracy, precision, recall, and F1-score. This resource is intended to facilitate the benchmarking and comparison of different machine learning algorithms on a standardized task.
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36 Views
Description: This supplementary materials file contains:
-All raw data generated in the experiments.
-All MATLAB files required to update the ForceSight application with new data.
-A video of the test procedure for a contraction force measurement of an example actuator.
-License files for BioRender.com
Size: Less than 250 MB
Platform: MATLAB
Environment: Microsoft, Linux, MacOS
Major component description:
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54 Views
The python code of Graph Neural Network (GRN). Recent studies have shown that the predictive performance of graph neural networks (GNNs) is inconsistent and varies across different experimental runs, even with identical parameters. The prediction variability limits GNNs' applicability, and the underlying reasons remain unclear. We have identified a key factor contributing to this issue: the oscillation of some nodes' predicted classes during GNN training.
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13 Views
This is the PSCAD simulation for the article "Grid Impedance Adaptive VSG Control Based on Accurate Small-Signal Modelling".
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542 Views
This dataset is designed for the purpose of curve fitting, a key process in the reconstruction of implicit curves. It encompasses a collection of point cloud data that has been sampled directly from curves, as well as the code necessary to generate point cloud data from these curves.
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158 Views
The goal of the Smart* project is to optimize home energy consumption. Available here is a wide variety of data collected from three real homes, including electrical (usage and generation), environmental (e.g., temperature and humidity), and operational (e.g., wall switch events). Also available is minute-level electricity usage data from 400+ anonymous homes.
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1077 Views