11,734 Works

Tilia stem: detection of radial and circular pecularities using FFTW-based software

Gradov Group
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Cusurbits stem: detection of radial and circular pecularities using FFTW-based software

Gradov Group
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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.

Prioritized Web Crawling Dataset

Sherin Moussa, Rahma Ameen, Mazen Abo Elanin, Radwa Ali & Dina Sameh
The provided dataset is obtained by crawling through various websites to identify all the possible webpages that which can be used to determine to what degree they are exposed to attacks.nbsp;

Truck Driving Simulator Experiment

Zheng Wang
The data are associated with a submitted journal paper.

Truck Driving Simulator Experiment

Zheng Wang
The data are associated with a submitted journal paper.

Thin film thickness of Polystyrene on the glass substrates

Akshansh Mishra & Devarrishi Dixit
Advent in machine learning is leaving a deep impact on various sectors including the material science domain. The present paper highlights the application of various supervised machine learning regression algorithms such as polynomial regression, decision tree regression algorithm, random forest algorithm, support vector regression algorithm and artificial neural network algorithm to determine the thin film thickness of Polystyrene on the glass substrates. The results showed that polynomial regression machine-learning algorithm outperforms all other machine learning...

Holoscopic 3D Micro-Gesture Database

Yi Liu, Mohammad R. Swash & Hongying Meng
HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have...

Holoscopic 3D Micro-Gesture Database

Yi Liu, Mohammad R. Swash & Hongying Meng
Holoscopic micro-gesture recognition (HoMG) database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images,...

Biomarker of Lateralization Index for Stress Calculated from Hemodynamic Responses of fNIRS for Subdividing between Eustress and Distress

SuJin Bak, Jaeyoung Shin & Jichai Jeong
While performing various mental stress tasks, we can easily observe differences in brain activations between the stress group and the control group (i.e., non-stress group). Moreover,it is essential to subdivide the stress groups into eustress and distress groups in order to enhance personal cognitive abilities and mental/physical health. However, it is very challenging to subdivide stress group, because of the difficulty to reveal differences in brain activations between two stress groups. In our study, we...

Epidermis of allium: FFTW-based regulometry case

Gradov Group
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Holoscopic 3D Micro-Gesture Database

Yi Liu, Mohammad R. Swash & Hongying Meng
HoMG database was recorded using a holoscopic 3D camera, which have 3 conventional gestures from 40 participants under different settings and conditions. The principle of holoscopic 3D (H3D) imaging mimics fly’s eye technique that captures a true 3D optical model of the scene using a microlens array. For the purpose of H3D micro-gesture recognition. HoMG database has two subsets. The video subset has 960 videos and the image subset has 30635 images, while both have...

Fluorescence Microscopy Images from CBMI

Yaoru Luo, Yuanhao Guo & Ge Yang
Intracellular organelle networks such as the endoplasmic reticulum (ER) network and the mitochondrial network serve crucial physiological functions. Morphology of these networks plays critical roles in mediating their functions.Accurate image segmentation is required for analyzing morphology of these networks for applications such as disease diagnosis and drug discovery. Deep learning models have shown remarkable advantages in accurate and robust segmentation of these complex network structures. To support the training and testing of deep learning segmentation...

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) 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...

UrduWeb20

Bilal Tahir & Muhammad Amir Mehmood
The attached files contain dataset of UrduWeb20 and implementation code used in "Corpulyzer: A Novel framework for building Low Resource Language Corpora" paper.UrduWeb20 is content-rich Urdu language corpus containing 8.0 million webpages build by crawling the WWW with Corpulyzer framework.The implementation code of the following modules is provided:1. Web-AM2. CLD2 service3. Language filter4. LRL scoring

Obstacle Detection for Automated Guided Vehicles

Marius Wenning
Nowadays, produced cars are equipped with mechatronical actuators as well as with a wide range of sensors in order to realize driver assistance functions.These components could enable cars’ automation at low speeds on company premises, although autonomous driving in public traffic is still facing technical and legal challenges.For automating vehicles in an industrial environment a reliable obstacle detection system is required. State-of-the-art solution for protective devices in Automated Guided Vehicles is the distance measuring laser...

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...

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