Additive (multiplication-free) networks and a GAN discriminator classifier detect gas leaks and identify gas types from uncalibrated sensor time-series with about 96 to 98 percent accuracy in the reported tests.
Benzene, an experimental multipotential carcinogen: results of the long-term bioassays performed at the Bologna Institute of Oncology
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Detecting Gas Vapor Leaks Using Uncalibrated Sensors
Additive (multiplication-free) networks and a GAN discriminator classifier detect gas leaks and identify gas types from uncalibrated sensor time-series with about 96 to 98 percent accuracy in the reported tests.