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This dataset aims to identify the polarity of tweets—whether they are supportive, oppositional, or neutral—towards the current government. It comprises a total of 26,000 tweets: 15,000 in English and 11,000 in Urdu. These tweets were collected from 80 different political users' accounts to ensure a diverse and comprehensive representation of opinions.

 

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671 Views

Here is the most fresh dataset used for clustering in TOM.
It contains time series for 1659 GitHub repos of the metrics.

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295 Views

Miniature mobile robots in multi-robotic systems require robust environmental perception for successful navigation, especially when operating in real-world environments. One of the sensors that have recently become accessible for miniature mobile robots due to their size and cost-effectiveness is a multi-zone time-of-flight (ToF) sensor. The object of classification in the dataset is a miniature mobile robot on a sand-like terrain with rocks. The dataset was acquired with the ST VL53L5CX ToF sensor.

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672 Views

In this project, an LSTM-based Model Predictive Controller (LSTM-MPC), with 200 neurons of each layer, is designed to have a highly efficient control on the temperature. The resulted dataset is attached, for further considerations.

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666 Views

The data set contain network survey statistics from the county of Nottinghamshire for four major UK mobile operators. The data are collected from September 2022 till December 2022 and contain both 4G-LTE and 5G-NSA network information and their corresponding GPS location.

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124 Views

Food computing is currently a fast-growing field of research. Web mining and content analysis are also increasingly essential in this field, especially for recognising food entities.

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1117 Views

Search-based software testing (SBST) is now a mature area, with numerous techniques developed to tackle the challenging task of software testing. SBST techniques have shown promising results and have been successfully applied in the industry to automatically generate test cases for large and complex software systems. Their effectiveness, however, has been shown to be problem dependent.

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72 Views

We present our FEEL (Force, EEG and Emotion-Labelled) dataset, a collection of brain activity, and keypress force data, labelled with self-reported emotion during tense videogame play (N=16).

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1174 Views

A contiguous area cartogram is a geographic map in which the area of each region is proportional to numerical data (e.g., population size) while keeping neighboring regions connected. In this study, we investigated whether value-to-area legends (square symbols next to the values represented by the squares' areas) and grid lines aid map readers in making better area judgments. We conducted an experiment to determine the accuracy, speed, and confidence with which readers infer numerical data values for the mapped regions.

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This dataset file is used for the study of imbalanced data and contains 6 imbalanced datasets

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218 Views

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