In this paper, motivated by the residual learning and global aggregation, we propose a simple yet general and effective knowledge distillation framework called double similarity distillation (DSD) to ...

This work reports the integration of Real Time Optimization and Model Predictive Control in the multi-layer control structure of an existing Crude Distillation Unit (CDU) of an oil refinery. The MPC ...

† Institute of Petrochemical Technology, Changzhou University, Changzhou 213100, People’s Republic of China ‡ Institute of Petrochemical Technology, China University of Petroleum, Beijing 102200, ...

Want to speed up your resin projects without sacrificing quality? In this video, I reveal my favorite secrets for working with 4-hour de-moulding resin — so you get fast results and flawless fin ...

Ardagh Glass Packaging-Europe (AGP-Europe) has successfully completed an industrial fuel switching trial to produce glass packaging using biofuel in the furnace at its Knottingley, UK facility. The £6 ...

Abstract: This article proposes an efficient federated distillation learning system (EFDLS) for multitask time series classification (TSC). EFDLS consists of a central server and multiple mobile users ...

Enter Knowledge Distillation: A Game-Changer for Efficiency Knowledge distillation offers a solution to these challenges. This technique involves transferring knowledge from a large "teacher" model to ...

As the global demand for renewable fuels rises, the biofuels industry is undergoing a transformation. Traditional feedstocks, primarily refined vegetable oils, are increasingly being replaced by ...

This isn’t science fiction; it’s the fantastic process known as knowledge distillation, a cornerstone of modern AI development. Imagine a massive language model like OpenAI’s GPT-4 ...