Introduces SonROAD18, a new road noise emission model addressing the limitations of the outdated StL86+ and emphasizing state-of-the-art features and predictability of source impact.
Explores data augmentation as a key regularization method in deep learning, covering techniques like translations, rotations, and artistic style transfer.
Covers the concept of time, discrete time practicality, sampling theorem, digital storage, transmission of signals, and key ideas of digital signal processing.
Explores low-power design optimization in MOSFET transistors, focusing on inversion coefficients and transconductance efficiency for maximum performance.
