*.avi; *.csv; *.txt; *.zip

This letter presents a new formulation for the loss-concerned dc power flow that is suitable for optimization-based power system operation and planning. The proposed approach equivalently recasts a previously reported model that explicitly represents the differences in the power flows at the receiving

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This large dataset includes six small datasets, including two types, one contains the original node relationship information and node feature information, please use it through the common network construction methods; the other is the dataset which has been processed, including the direct edge information and node's association information, which can be used to construct the network directly through the network construction methods.

 

Translated with www.DeepL.com/Translator (free version)

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These datasets were developed through a collaboration between Zhejiang Sci-Tech University and Hangzhou Zhiyi Technology Co., Ltd., encompassing a four-year span from January 2019 to October 2023.

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Flow to image conversion is a pivotal preprocessing step in intrusion detection systems (IDS) where the representation of network flow data significantly influences classifier performance. In this study, we explore the effects of three distinct methods of transforming flow data into images on classifier performance.

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99 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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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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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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This is the PSCAD simulation for the article "Grid Impedance Adaptive VSG Control Based on Accurate Small-Signal Modelling".

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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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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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