Código QR (código de barras bidimensional)

TinyML-Based Real-Time Drift Compensation for Gas Sensors Using Spectral–Temporal Neural Networks

The implementation of low-cost sensitive and selective gas sensors for monitoring fruit ripening and quality strongly depends on their long-term stability. Gas sensor drift undermines the long-term reliability of low-cost sensing platforms, particularly in precision agriculture. We present a real-ti...

Fuld beskrivelse

Na minha lista:
Principais autores: Adir Krayden, M. Avraham, H. Ashkar, T. Blank, S. Stolyarova, Yael Nemirovsky
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-06-01
Serier:Chemosensors
Fag:
gas sensor drift
TinyML
convolutional neural networks
spectral filtering
hadamard transform
real-time signal processing
Online adgang:https://www.mdpi.com/2227-9040/13/7/223
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker