Alternative designs considered include multieffect distillation, heterogeneous azeotropic distillation, and extractive distillation. Significant reductions of 38.3% in steam cost and 30.6% in total ...

The 3D objects were created by computing the thermophysical properties from a fundamental equation of state model. The obtained data was converted to an .stl file and then 3D printed. Several examples ...

A mathematical model has been developed for describing the dynamic operation of the N-formylmorpholine extractive distillation column and the corresponding solvent recovery column in the benzene ...

THE expression ‘fractional distillation’ inevit-ably recalls the name of Young to the older generation, but his book was written before the days when the art was of industrial significance and ...

Quantization is a critical technique employed across various research fields for compressing deep neural networks (DNNs) to facilitate deployment within resource-limited environments. This process ...

Recently, many lightweight neural networks have been deployed on airborne or satellite remote sensing platforms for real-time object detection. To bridge the performance gap between lightweight models ...

Implementation of progressive distillation on the trained models for lower sampling time time-series pytorch knowledge-distillation diffusion wavelet-analysis wavelet-transform ...