Machine Learning

Challenge Description and Goal:

The pathogenesis of COVID-19 is increasingly suggesting impairments in the respiratory system. In this light, it is natural to ask – Can sound samples serve as acoustic biomarkers of COVID-19? If yes, an acoustics based COVID-19 diagnosis can provide a fast, contactless, and inexpensive testing scheme, with potential to supplement the existing molecular testing methods, such as RT-PCR and RAT. The present Challenge is an exploration of ideas to find answers to this question.

Last Updated On: 
Sun, 10/03/2021 - 18:04

This data set contains tweets related to haptics from 2008 to 2021.

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117 Views

ABSTRACT

Europe is covered by distinct climatic zones which include semiarid, the Mediterranean, humid subtropical, marine,

humid continental, subarctic, and highland climates. Land use and land cover change have been well documented in the

past 200 years across Europe1where land cover grassland and cropland together make up 39%2. In recent years, the

agricultural sector has been affected by abnormal weather events. Climate change will continue to change weather

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476 Views

Data used for evaluation of the Chameleon system. We use it to evaluate capabilities of sensor fusion system that is able to adapot to multiple envrionemnts and monitor activity states within a room. The data set is divided by the two deployments and includes inforamtion for both of the sensors used to test the system. We include two weeks worth of data along with training and testing accuracy results. 

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1006 Views

 

The datasets were collected by operating the testbed (simulation of small-scale of IEC 61850-compliant SASs) under four types of behaviours: 1) normal operation when no unusual events happen; 2) emergency operation when non-malicious events (e.g., short-circuit faults) happen; 3) an attack under normal operation to disrupt energy transmission; and 4) an attack under emergency operation to stop protection mechanisms or trigger undesirable protection operations.

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187 Views

This is the dataset for the paper Bayesian Inference of Sector Orientation in LTE Networks based on End-User Measurements published at VTC 2021 - Fall.

It includes a set of Drive-Test RSRP Pathloss Measurements with their relative position to the corresponding eNodeB. In total it contains data for 91 three-sector eNodeBs, which results in  273 sectors.

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595 Views

It distinguishes direct causes from direct effects of a target variable from multiple manipulated datasets with unknown manipulated variables and nonidentical data distributions.

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105 Views

This dataset presents a collection of coordinates that belongs to paths generated with a 3D disjstkra algorithm,in diferents enviroments,with a grid size equal to one. The output is a six dimension vector that represents the action taken by the agent (z+,z-,y+,y-,x+,x-) based on his pose, sensors readings and the target. 

 

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237 Views

This dataset is composed of 580 mannually annotated images of shuttle tanker vessels, FPSO and FSO oil rigs. The images were obtained from simple Google search and some of them are 3D models generated from modelling software and used in Gazebo robotics simulations. The images were annotated using Computer Vision Annotation Tool (CVAT), and for each of them there is a .xml Pascal VOC file where the boxes are. The annotated objects were the ship itself and its generic regions, named as bow, mid-ship and stern.

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309 Views

We have prepared a synthetic dataset to detect and add new devices in DynO-IoT ontology. This dataset consists of 1250 samples and has 35 features, such as feature-of-interest, device, sensor, sensor output, deployment, accuracy, unit, observation, actuator, actuation, actuating range, tag, reader, writer, etc.

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339 Views

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