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The Raspberry Pi is a credit card-sized computer capable of running full-fledged Linux distributions such as Raspberry Pi OS, ...
A step-by-step guide to creating a scalable air quality monitor using Embedded Rust and Micro:bit. Improve your indoor ...
This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many ...
In smart autonomous remote monitored system, collected temperature and humidity data is stored in cloud for further analytics. DHT22 temperature and humidity sensor are the main component of setup ...
A summary of the major climate statistics recorded at this site is provided below. There is also an extended table with more statistics available. More detailed data for individual sites is available.
The temperature-induced residual stress and elemental distribution are also analyzed through characterization using X-ray diffraction and energy ... of the separators and provide the supporting data ...
Different methods of classification are used depending on the intended use ... humidity zones map shows the climate of Australia classified according to temperature and humidity properties across the ...
US Health Chief Kennedy Launches Autism Project Using Medicare and Medicaid Data By Ahmed Aboulenein and Sriparna Roy WASHINGTON (Reuters) -Federal health agencies will create a database of autism ...
The project is part of a wider $50 million research ... and learn in atypical ways. Researchers would use the data platform to research autism diagnosis over time, health outcomes from medical ...
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Nature Trail Mapper in KML format with ESP32, RYS352A GPS Module and microSD card loggingAt points I might do something that might be dangerous because I'm comfortable with some tools or techniques but please always use your common sense and don't try everything you see here.
Abstract: Land surface temperature (LST) is a key factor in monitoring and ... and SVF uncertainties demonstrated the reliability of the UNSW algorithm. Validation using simulated data showed that the ...
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