394 Works

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...

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...

Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks

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...

Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks

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...

Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks

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...

Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks

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...

Fluorescence Microscopy Image Datasets for Deep Learning Segmentation of Intracellular Orgenelle Networks

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...

Circuit design of a sEMG detection system

Lisen Zhu
The data is the circuit design of a sEMG detection system.

Supplementary Files: Towards Development of an ISFET-based Smart pH Sensor: Enabling Machine Learning for Drift Compensation in IoT Applications

Soumendu Sinha, Nishad Sahu, Rishabh Bhardwaj, Het Shah, Ravindra Mukhiya & Rishi Sharma
The dataset consists of the ISFET sensor data utilized to train ML models for drift compensation.

A Multi-Agent Approach for Personalized Hypertension Risk Prediction

Sundus Abrar & Loo Chu Kiong
A Multi-Agent Approach for Personalized Hypertension Risk Prediction

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database

José Luis Conradi Hoffmann & Antônio Augusto Fröhlich
Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Dataset is a Dataset composed of Hardware Performance Counters extracted from a Multicore Real-Time Embedded System. This Dataset encompasses every Monitorable Performance counters in a Cortex-A53 quad-core processor, totaling 54 performance counters, which are sampled periodically through a non-Intrusive Monitoring Framework implemented over Embedded Parallel Operating System (EPOS), a Real-Time Operating System. Moreover, the Dataset encompasses the parallel execution of three different tasks that explores memory...

Lymphedema measurements (including periods of curative treatments)

Nicolas BOUSQUET & Carole Mathelin
This dataset consists of 16 tables of measurements of the evolution of the two arms of women who underwent a mastectomy of one breast at the University Hospitals of Strasbourg (HUS) between 2011 and 2019, and who presented a lymphedema. The measurements correspond to repeated averages of perimeters (in cm) of the arms in different positions from the shoulder (indicated by a number in cm). Elements extracted from this dataset have been used by Sorbonne...

Trajectory Generation for Robotic Pick-and-Place Task Based on Nested Double-Memory Deep Deterministic Policy Gradient

Fengkang Ying
Trajectory generation for robotic pick-and-place task using nested double-memory deep deterministic policy gradient.

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...

REST database

Nesrine Charfi, Hanene Trichili, Basel Solaiman & Adel M. Alimi
Biometric-based hand modality is considered as one of the most popular biometric technologies especially in forensic applications. Hand recognition is an active research topic in recent years and in order to promote hand’s recognition research, the REGIM-Lab.: REsearch Groups in Intelligent Machines, ENIS, University of Sfax, Tunisia provides the REgim Sfax Tunisian hand database (REST database) freely of charge to mainly hand and palmprint recognition researchers.The acquisition is performed using a low cost digital Camera...

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...

Some software vulnerability real-world data sets

Van Nguyen
Here are some of thesoftware vulnerabilityreal-world data sets.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing...

Some software vulnerability real-world data sets

Van Nguyen
Here are some of thesoftware vulnerabilityreal-world data sets.The original real-world data sets, collected by Lin et al. (https://github.com/DanielLin1986/TransferRepresentationLearning), which contain the source codes of vulnerable and non-vulnerable functions obtained from six real-world software projects, namely FFmpeg, LibTIFF, LibPNG, VLC and Pidgin. These datasets cover both multimedia and image application categories.To obtain our used data sets, we preprocess these data sets before inputting into the deep neural networks. Firstly, we standardize the source codes by removing...

IEEE VIS Figures and Tables Image Dataset

Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert Laramee, Han-Wei Shen, Katharina Wünsche & Qiru Wang
A collection of about 30K images that represents figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis, InfoVis, VAST).

sample

pawel
sample

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,...

Registration Year

  • 2021
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