TY  CONF
TI  METHODS FOR FORMING ENERGY-EFFICIENT FEATURE DESCRIPTIONS OF ACOUSTIC-VIBRATION SIGNALS BASED ON HARDWARE PREPROCESSING IN TINY MACHINE LEARNING SYSTEMS
KW  tiny machine learning (TinyML)
KW  energy efficiency
KW  acoustic-vibration signals
KW  hardware preprocessing
KW  neural network quantization
KW  microcontrollers
KW  feature extraction
KW  register-transfer level (RTL)
JO  MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2026
AU  Lemza, S.A.
AU  Denisova, O.A.
AU  Smerek, V.A.
PY  2026
PB  FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov