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Access to clean drinking water is crucial for health, a fundamental human right, and a component of successful health protection policies. On a national, regional, and local level, this is significant as a health and development issue. Investments in water supply and sanitation have been shown to produce a net economic benefit in some areas because they reduce negative health effects and medical expenses more than they cost to implement.

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17525 Views

A mobile sensor can be described as a kind of smart technology that can capture minor or major changes in an environment and can respond by performing a particular task. The scope of the dataset is for forensic purposes that will help segregate day-to-day activities from criminal actions. Smartphones supplied with sensors can be utilised for monitoring and recording simple daily activities such as walking, climbing stairs, eating and more. For the generation of this dataset, we have collected data for 13 classes of daily life activities, which has been done by a single individual.

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18 Views

This data set is a selected list of publications on data visualization on large high-resolution display. We conducted a systematic search in six major scientific databases in computer science (Springer, Wiley Online Library, ScienceDirect, ACM digital library, IEEE Xplore, EBSCO host between November 23 and December 1, 2019) using 23 search queries capturing the different terms used to describe a wall-sized display (e.g. “visualization wall”, “tiled display”, etc.).

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12 Views

This Dataset is related to the data prices of the cryptocurrency "Ethereum" over four years, from 01/01/2018 to 114/22/2022. Also, the new dataset created by the predictions of the intelligent filtered LSTM model is included.

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83 Views

This dataset is the outcome of an observation on Hyssop germination under Lead (Pb) tension and Gixberlin Acid based hormonal priming. Pb tension levels are 0, 25, 50,75, and 100 mg/L, respectively in this study. Gixberlin acid priming is done under 0, 50,100, 150, and 200 mg/L and each scenario is repeated four times during this study. Mean Germination Time (MGT), Root Length( RL) and Shoot Length (SL) have been measured.  Moreover, different enzyme levels including superoxide dismutase, catalase, ascorbate peroxidase, and Guaiacol Peroxidase. 

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27 Views

This dataset is a collection of phase samples retrieved from an in-house design for a Bluetooth Low Energy (BLE) 5.1 based receiver, using an 8-element Uniform Circular Array (UCA). The purpose of the dataset was the implementation of localization techniques based on the use of Angle-of-Arrival data, possible due to the BLE 5.1 Direction Finding (DF) features.

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27 Views

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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189 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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159 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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46 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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50 Views

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