Multimodal Isotropic Neural Architecture with Patch Embedding to both time series and image data for classification purposes.

Expandable Isotropic Multimodal Patch Learning Neural Architecture for the Nano-modal (9) time-series and images data.

Conformal Geometric Algebra (CGA) with efficient sequence modeling by introducing a recurrent rotor mechanism and a novel bit-masked hardware kernel that solves the computational bottleneck of Clifford products.

Data loader and solution method for the DCASE 2024 Challenge Task1

SIREN Scalable, Isotropic Recursive Column Multimodal Neural Architecture with Device State Recognition Use-Case