7,601 Works

dataset

Vaishnavi Jamdade
The rapid outbreak of COVID-19 due to the novel coronavirus SARS-COV-2 is the biggest issue faced by mankind today. It is important to detect the positive cases as early as possible to prevent the further spread of this pandemic. AI-based X-ray screening is a promising approach for COVID-19 testing in both symptomatic and asymptomatic patients. However, a unique challenge for algorithms is to be able to distinguish between COVID-19 versus other lower respiratory diseases which...

Coronavirus (COVID-19) Tweets Dataset

Rabindra Lamsal
This dataset includes CSV files that contain tweet IDs. 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 filters: language “english”, and keywords “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. This dataset has...

Smart meter data

Chen Chen
Load identification have shown significant performance gains in Chinese smart grids. Most existing load identification algorithms are based on electrical characteristics of steady or transient state, which are therefore limited by feature selection and analyzing pattern. To address above issues, this paper proposes the use of deep neural network for load identification in a Non-Intrusive Load Monitoring (NILM) test-bed, which is set up by introducing diversified household appliances with different load characteristics, to collect the...

5G Subscription Concealed Identifier (SUCI) of IMSI-based Subscription Permanent Identifier (SUPI), privacy protected with ECIES Profile A protection scheme

Vui Huang Tea
The following data set is modelled after the implementers’ test data in 3GPP TS 33.501 “Security architecture and procedures for 5G System” with the same terminology. The data set corresponds to SUCI (Subscription Concealed Identifier) computation in the 5G UE (User Equipment) for IMSI (International Mobile Subscriber Identity) based SUPI (Subscription Permanent Identifier) and ECIES Profile A.

A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

Gabriel Henrique de Almeida Pereira, Andre Minoro Fusioka, Bogdan Tomoyuki Nassu & Rodrigo Minetto
This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10...

A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

Gabriel Henrique de Almeida Pereira, Andre Minoro Fusioka, Bogdan Tomoyuki Nassu & Rodrigo Minetto
This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10...

A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

Gabriel Henrique de Almeida Pereira, Andre Minoro Fusioka, Bogdan Tomoyuki Nassu & Rodrigo Minetto
This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10...

On the thermal response of spherical silica optical microcavity resonators

Carlos Saavedra
Data set about the thermal response of silica spherical micro-resonators. Contains numerical calculations for different optical properties of the cavity and two different resonator sizes.

A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

Gabriel Henrique de Almeida Pereira, Andre Minoro Fusioka, Bogdan Tomoyuki Nassu & Rodrigo Minetto
This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10...

Integrated horn antenna design through MGWO

Boyuan Ma
The code used in our manuscript "All-Integrated 3D-Printed Horn Antenna and Orthomode Transducer Designed through Modified Grey Wolf Optimizer".

Integrated horn antenna design through MGWO

Boyuan Ma & Xun Li
The data and code used in our manuscript "All-Integrated 3D-Printed Horn Antenna and Orthomode Transducer Designed through Modified Grey Wolf Optimizer".

A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

Gabriel Henrique de Almeida Pereira, Andre Minoro Fusioka, Bogdan Tomoyuki Nassu & Rodrigo Minetto
This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10...

Dataset of One-Way Delay in Local and Global Networks

Evgeny Sagatov, Samara Mayhoub, Andrei Sukhov & Dmitrii Chernysh
One-way delay (OWD) is the transmission time of the network packet from the first to the last bit from the sender node to the receiver node. The data set presented here was obtained as a result of measurements performed for the paper “Improving the Accuracy of One-Way Delay Measurements”.One-way delay measurements were performed using three different utilities:* the utility from the OWAMP protocol;* first version of our utility, owping1; and* the new version of our...

Dataset of One-Way Delay in Local and Global Networks

Evgeny Sagatov, Samara Mayhoub, Andrei Sukhov & Dmitrii Chernysh
One-way delay (OWD) is the transmission time of the network packet from the first to the last bit from the sender node to the receiver node. The data set presented here was obtained as a result of measurements performed for the paper “Improving the Accuracy of One-Way Delay Measurements”.One-way delay measurements were performed using three different utilities:* the utility from the OWAMP protocol;* first version of our utility, owping1; and* the new version of our...

Dataset of One-Way Delay in Local and Global Networks

Evgeny Sagatov, Samara Mayhoub, Andrei Sukhov & Dmitrii Chernysh
One-way delay (OWD) is the transmission time of the network packet from the first to the last bit from the sender node to the receiver node. The data set presented here was obtained as a result of measurements performed for the paper “Improving the Accuracy of One-Way Delay Measurements”.One-way delay measurements were performed using three different utilities:* the utility from the OWAMP protocol;* first version of our utility, owping1; and* the new version of our...

Coronavirus (COVID-19) Geo-tagged Tweets Dataset

Rabindra Lamsal
This dataset contains the IDs of geo-tagged tweets. 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 these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs...

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Datasets and codes for \"Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process\"

Hongji Ren
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"

Registration Year

  • 2020
    7,601

Resource Types

  • Dataset
    7,601