11,429 Works

XAI-Website-Fingerprinting

Berk Gulmezoglu
Website Fingerprinting attacks aim to track the visited websites in browsers and infer confidential information about users. The presence of large numbers of websites on internet has made it necessary to integrate more sophisticated and automated techniques to analyze the collected data. Thanks to recent advancements in Machine Learning and Artificial Intelligence algorithms, website fingerprinting has been implemented efficiently in a large-scale. Nevertheless, trained models for website detection are mostly treated as a black-box where...

Ping Response Times from google.com

Alex Outman
Ping reponse times from google.com

Widar3.0 Dataset: Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi

Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu & Zheng Yang
This repository hosts the data and code for paper Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi published in ACM MobiSys 2019.This dataset includes the Channel State Information (CSI) data collected from commodity Wi-Fi devicesnbsp;for gesturesnbsp;and Body-coordinate Velocity Profile (BVP) datanbsp;calculated by the algorithms from the above mentioned paper.Also included in this repository is the data for paper GaitID: Robust WiFi Based Gait Recognition published in Springer WASA 2020.Please stay tuned for further updates.Due to technical issues,...

Widar3.0 Dataset: Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi

Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu & Zheng Yang
This repository hosts the data and code for paper Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi published in ACM MobiSys 2019.This dataset includes the Channel State Information (CSI) data collected from commodity Wi-Fi devicesnbsp;for gesturesnbsp;and Body-coordinate Velocity Profile (BVP) datanbsp;calculated by the algorithms from the above mentioned paper.Also included in this repository is the data for paper GaitID: Robust WiFi Based Gait Recognition published in Springer WASA 2020.Please stay tuned for further updates.Due to technical issues,...

Coronavirus (COVID-19) Geo-tagged Tweets Dataset

Rabindra Lamsal
This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs...

Coronavirus (COVID-19) Tweets Dataset

Rabindra Lamsal
This dataset includes CSV files that contain IDs and sentiment scores of the tweets related to the COVID-19 pandemic. The tweets have been collected by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. This dataset has been wholly re-designed on March 20, 2020, to comply with the content redistribution policy set by Twitter.The...

WIDAR3.0: WiFi-based Activity Recognition Dataset

Zheng Yang, Yi Zhang, Guidong Zhang & Yue Zheng
The Widar3.0 project is a large dataset designed for use in WiFi-based hand gesture recognition. The RF data are collected from commodity WiFi NICs in the form of Received Signal Strength Indicator (RSSI) and Channel State Information (CSI). The dataset consists of 258K instances of hand gestures with a duration of totally 8,620 minutes and from 75 domains. In addition, two sophisticated features from raw RF signal, including Doppler Frequency Shift (DFS) and a new...

Coronavirus (COVID-19) Tweets Dataset

Rabindra Lamsal
This dataset includes CSV files that contain IDs and sentiment scores of the tweets related to the COVID-19 pandemic. The tweets have been collected by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. This dataset has been wholly re-designed on March 20, 2020, to comply with the content redistribution policy set by Twitter.The...

QA4Camera

Xiongkuo Min
Smartphone has been one of the most popular digital devices in the past decades, with more than 300 million smartphones sold every quarter in the world wide. Most of the smartphone vendors, such as Apple, Huawei, Samsung, launch their new flagship smartphones every year. People use smartphone cameras to shoot selfie photos, film scenery or events, and record videos of family and friends. The specifications of smartphone camera and the quality of taken pictures are...

Water Quality Monitoring Data

Weijia Jia, Jie Cheng & Hongzhi Hu
This is an observation data for water quality monitoring.

On the Spectral Quality of Time-Resolved CMOS SPAD-Based Raman Spectroscopy with High Fluorescence Backgrounds

Jere Kekkonen, Tuomo Talala, Jan Nissinen & Ilkka Nissinen
This data is related to the article “On the Spectral Quality of Time-Resolved CMOS SPAD-Based Raman Spectroscopy with High Fluorescence Backgrounds” that have been submitted to the IEEE Sensors Journal.

Data of novel features and FS_DT-SSVM

Xiaolin Zhang, Jianting Sun & Xiaotong Zhang
This dataset has 11 sets of feature data extracted with different signal-to-noise and a set of simulation results of modulation classification. Feature dataset consists of 2 novel features and 15 classic features, and dataset of simulation results represents the effectiveness of FS_DT-SSVM classifier. These data match the experimental data of the paper “Automatic Modulation Classification Based on Novel Feature Extraction Algorithms”.

Detecting XSS attacks by combining CNN with LSTM

Boyu Zhang
XSS is a common attack that has been in the OWAP Top 10 project for many years. With the development of deep learning, deep neural networks are gradually applied in various fields such as finance, medical treatment and so on. At the same time, security researchers have also proposed a series of methods to detect XSS attacks based on neural networks, but no one has tried to detect XSS attacks by combining Convolutional Neural Network...

Code Review Support - A Systematic Mapping Data

Sanuri Gunawardena
Code review is a widely used quality assurance technique. From the heavy-weight and manual process that it was first introduced as code review has evolved into a more light-weight and tool-assisted process overtime to support modern software development that demands frequent delivery of source code. A large body of research on code review support exists. To help to understand the state of nature, quality, and evaluation of existing code review support, we conducted a systematic...

Experimental Data for Metacognitive Skills

Yusufu Yusufu Gambo & Muhammad Zeeshan Shakir
The increasing student’s enrollment, the cost ofeducation and the need to make learning resources accessibleany time at anywhere are propelling educational institutions todevelop a pedagogical framework to support in-class activitieswith online learning courses. Moreover, the increasing deploymentof skilled-based courses on online learning environmentoccasioned by the advancement of smart and wireless technologyboth in formal and informal paradigm means that there is a needto develop effective ways to support online learning paradigm.The transformation system brought by advancement...

Experimental Data for Metacognitive Skills

Yusufu Yusufu Gambo & Muhammad Zeeshan Shakir
The increasing student’s enrollment, the cost ofeducation and the need to make learning resources accessibleany time at anywhere are propelling educational institutions todevelop a pedagogical framework to support in-class activitieswith online learning courses. Moreover, the increasing deploymentof skilled-based courses on online learning environmentoccasioned by the advancement of smart and wireless technologyboth in formal and informal paradigm means that there is a needto develop effective ways to support online learning paradigm.The transformation system brought by advancement...

Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset)

Diksha Shukla, Sicong Chen, Yao Lu, Partha Pratim Kundu, Ravichandra Malapati, Sujit Poudel, Zhanpeng Jin & Vir Phoha
BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer partcipants), and (2) Emotiv based Dataset (collected over several months in 2019). Neurosky based Dataset - Neurosky based dataset consists of EEG data recordings from neurosky headset and the corresponding hand movements recordings from SONY...

Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset)

Diksha Shukla, Sicong Chen, Yao Lu, Partha Pratim Kundu, Ravichandra Malapati, Sujit Poudel, Zhanpeng Jin & Vir Phoha
BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer partcipants), and (2) Emotiv based Dataset (collected over several months in 2019). Neurosky based Dataset - Neurosky based dataset consists of EEG data recordings from neurosky headset and the corresponding hand movements recordings from SONY...

Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset)

Diksha Shukla, Sicong Chen, Yao Lu, Partha Pratim Kundu, Ravichandra Malapati, Sujit Poudel, Zhanpeng Jin & Vir Phoha
BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer partcipants), and (2) Emotiv based Dataset (collected over several months in 2019). Neurosky based Dataset - Neurosky based dataset consists of EEG data recordings from neurosky headset and the corresponding hand movements recordings from SONY...

Dataset for electronic nose from various beef cuts

Dedy Rahman Wijaya
The development of electronic nose (e-nose)for a rapid, simple, and low-cost meat assessment system becomes the concern of researchers in recent years. Hence, we provide time-series datasets that were recorded from e-nose for beef quality monitoring experiment.This dataset is originated from 12 type of beef cuts including round (shank), top sirloin, tenderloin, flap meat (flank), striploin (shortloin), brisket, clod/chuck, skirt meat (plate), inside/outside, rib eye, shin, and fat. The process of beef spoilage is recorded...

Cocoa beans spectral image with three fermentation levels

Carlos Hinojosa, Karen Sanchez, Hans Garcia & Henry Arguello
The target scene consists of a black cardwith six cocoa beans of three different fermentation levels (High, correct, and low fermentation),two beans for each class, whosefalse-color composite is shown in the provided Figure (a),ground-truth map is shownin Fig. (b), and Fig. (c) presents its representative spectralsignatures. The spectral imagewas acquired by the AVT Stingray F-080Bcamera by acquiring one band each time from350 - 950 nm. The acquired image hasa spatial resolution of 1096x712 pixels and...

Cocoa beans spectral image with three fermentation levels

Carlos Hinojosa, Karen Sanchez, Hans Garcia & Henry Arguello
The target scene consists of a black cardwith six cocoa beans of three different fermentation levels (High, correct, and low fermentation),two beans for each class, whosefalse-color composite is shown in the provided Figure (a),ground-truth map is shownin Fig. (b), and Fig. (c) presents its representative spectralsignatures. The spectral imagewas acquired by the AVT Stingray F-080Bcamera by acquiring one band each time from350 - 950 nm. The acquired image hasa spatial resolution of 1096x712 pixels and...

Blood Pressure and DIetary Calcium intake in Ruraland Urban population (source , CHNS)

VICTORINE RAISSA NGO NKONDJOCK
These data was used to find out the relationship between Blood pressure, Hypertension Occurence and Dietary Calcum intake in Rural and Urban located populations.Data Source : China Health and Nutrition SUrvey

Mayo Clinic Data

In the MayoClinic_data.zip folder you'll find hdf5 files for structured as follows: 1. Example_planewave_dataset1.hdf5, Beamfored_IQ1.png2. Example_planewave_dataset2.hdf5, Beamfored_IQ2.png3. Example_planewave_dataset3.hdf5, Beamfored_IQ3.pngThe above files contain the channel data, beam formed data, and beamformed images acquired from three unique cases of phantom data with plane wave imaging, with 75 steering angles. 4. Example_planewave_dataset_withBelly_1.hdf5, Beamfored_IQ_belly1.png5. Example_planewave_dataset_withBelly_2.hdf5, Beamfored_IQ_belly2.png6. Example_planewave_dataset_withBelly_3.hdf5, Beamfored_IQ_belly3.pngThe above files contain the channel data, beam formed data, and beamformed images acquired from another three cases of phantom data. A...

Energy storage simulation for frequency regulation

Sung-Min Cho
This file is Matlab extended (.Mex). There is a frequency file measured at one second intervals.The frequency regulation lithium battery takes into account the nonlinearity of the life and inputs the operating range of the SOC for the optimal design. The detailed calculation process will be presented in a separate paper.

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