Abstract: The research aims to ridge regression modelling to investigate the rainfall trends and temporal patterns of the variability the very comprehensive understanding of the precipitation dynamics ...

Abstract: Supervised latent variable regression methods such as partial least squares (PLS) and dynamic PLS have found wide applications in data analytics, quality prediction, and fault monitoring in ...

Data Knot is a set of machine learning tools that are optimized for low latency and real-time performance. The tools can be used with any type of audio input, including optimizations for Sensory ...

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...