v5.0.0 is started!

Author: abcdaaaaaaaaa

library.properties

@@ -3,9 +3,10 @@ version=5.0.0
 author=abcdaaaaaaaaa
 maintainer=abcdaaaaaaaaa <amertanik@icloud.com>
 sentence=The first and only Arduino library where MQ Sensors combine with Data Science
-paragraph=This library supports a wide range of MQ gas sensors (MQ2, MQ3, MQ4, MQ5, MQ6, MQ7, MQ8, MQ9, MQ131, MQ131_LOW, MQ135, MQ136, MQ137, MQ138, MQ214, MQ216, MQ303A, MQ303B, MQ306A, MQ307A, MQ309A). Instead of sensor-specific calibration, it uses gas-specific reference percentages, enabling more accurate ppm calculations. Key features include automatic calculation of 'a' and 'b' coefficients via logarithmic regression; temperature and humidity compensation using a correction coefficient model; analytical and manual calibration support for unsupported MQ models; a JavaScript-based implementation for hardware-free testing and computation; 3D ppm concentration graph simulation; and Python-based 4D ppm slope estimation for advanced data analysis.
+paragraph=This library supports a wide range of MQ gas sensors (MQ-2, MQ-3, MQ-4, MQ-5, MQ-6, MQ-7, MQ-8, MQ-9, MQ131, MQ-131_LOW, MQ-135, MQ-136, MQ-137, MQ-138, MQ-214, MQ-216, MQ303A, MQ303B, MQ306A, MQ307A, MQ309A). Instead of sensor-specific calibration, it uses gas-specific reference percentages, enabling more accurate ppm calculations. Key features include automatic calculation of 'a' and 'b' coefficients via logarithmic regression; temperature and humidity compensation using a correction coefficient model; analytical and manual calibration support for unsupported MQ models; a JavaScript-based implementation for hardware-free testing and computation; 3D ppm concentration graph simulation; and Python-based 4D ppm slope estimation for advanced data analysis.
 category=Sensors
 url=https://github.com/abcdaaaaaaaaa/MQDataScience
 architectures=*
 license=MIT
 
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