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The Research Paper "Detection of Bicep Form Using Myoware and Machine Learning" based on the novel dataset has been recently accepted in September 2022 and is being published in SCOPUS Indexed SPRINGER Book Series “Lecture Notes in Networks and Systems”
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1329 Views
The data set is about different parameters that are important for monitoring the "Engine Condition" and predicting its status as "Engine is Good or Bad".
Keywords-:
1.Engine rpm
2 Lub oil temperature
3.Coolant temperature
4.Fuel pressure
5.Lub oil pressure
6.Coolant pressure
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3166 Views
A synthetic laser reliability dataset generated using generative adversarial networks (GANs) is provided. The data includes normalized current measurements estimated at the following times: 2, 20, 40, 60, 80, 100, 150, 500, 1000, and 1500 hours. The data can be used to train machine learning models to solve different predictive maintenance tasks such as prediction of performance degradation, remainng useful prediction, and so on.
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121 Views
A monitoring data, which includes several OTDR traces incorporating various types of fiber events (e.g. reflective, non-reflective, merged events) induced along an optical fiber link, is provided. Different fiber faults such as fiber cut, and fiber bend are modeled using optical components such as connectors and variable optical attenuators (VOAs). The data can be used to train machine learning models for solving fiber fault diagnosis problems.
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1101 Views
The dataset contains labeled sentences. The sentences having information related to (1) infections, (2) suffering from pneumonea, (3) deaths, and (4) health updates from government/WHO, are labeled with 1 and the rest are labeled with 0. Source of all the news articles: https://www.thehindu.com/archive/
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128 Views
Outdoor temperature data collected by taxis in Rome, Italy.
This dataset is to be used in conjunction with the roma/taxi dataset and provides the outdoor temperature of the areas in Rome where the taxis were located (289 taxicabs over 4 days).
date/time of measurement start: 2012-08-15
date/time of measurement end: 2014-02-04
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572 Views
This dataset provides wireless measurements from two industrial testbeds: iV2V (industrial Vehicle-to-Vehicle) and iV2I+ (industrial Vehicular-to-Infrastructure plus sensor).
iV2V covers 10h of sidelink communication scenarios between 3 Automated Guided Vehicles (AGVs), while iV2I+ was conducted for around 16h at an industrial site where an autonomous cleaning robot is connected to a private cellular network.
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2344 Views
Mobile networks have become highly complex systems. In order to better understand how network features affect performance and suggest additional improvements, it is crucial to examine them from an empirical perspective.
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2432 Views
The Open Radio Access Network (O-RAN) Alliance's most recent innovations are propelling the evolution of RAN deployments, moving away from conventionally closed and specialized hardware implementations and toward virtualized instances running over shared platforms and distinguished by open interfaces. Such progressive decoupling of radio software components from the hardware is paving the road for future efficient and cost-effective RAN deployments. However, there are still a lot of open challenges before O-RAN networks can be successfully deployed.
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3840 Views
This dataset serves as the Geolocation Database for TV White Space. The dataset contains channel information and availability data. The channel information has the following columns: CHANNEL, COMPANY_NAME, DIGITAL, CALLSIGN, LATITUDE, LONGITUDE, LOWER_BAND, UPPER_BAND, TX_FREQ, ERP, TX_PWR. CHANNEL refers to the channel used, expressed in CH + channel number. COMPANY_NAME is the company name of the primary user. DIGITAL has a value of 1 when it use a digital transmission, otherwise it has a value of 0. CALLSIGN is the callsign of the primary user.
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75 Views