%0 Conference Article
%T METHODS FOR FORMING ENERGY-EFFICIENT FEATURE DESCRIPTIONS OF ACOUSTIC-VIBRATION SIGNALS BASED ON HARDWARE PREPROCESSING IN TINY MACHINE LEARNING SYSTEMS
%A Lemza, S.A.
%A Denisova, O.A.
%A Smerek, V.A.
%K tiny machine learning (TinyML), energy efficiency, acoustic-vibration signals, hardware preprocessing, neural network quantization, microcontrollers, feature extraction, register-transfer level (RTL)
%J MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2026
%D 2026
%P 10
%I FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov