We introduce an efficient training framework for constructing machine learning-based emulators and demonstrate its capability by training an artificial neural network to predict the time evolution of quantum wave packets propagating through a potential landscape.This approach is based on the idea of knowledge distillation and uses elements of curri
ObjectivesThe operating state under the condition of high-pressure turbine damage will have a certain impact on the performance and vibration of the gas turbine.At present, the means to accurately Gift Card assess whether the whole machine can continue to be in service was relatively lacking.Therefore, the research on the influence of the tip groov
Lambic beer production processes are characterized by a temporal succession of well-adapted microbial species.Temporal metagenomic analysis of a Belgian, traditional, lambic beer production process, which was examined microbiologically and metabolomically before, confirmed that the microbial diversity is limited.Moreover, it allowed to link the con
This Antistatic Cloth Wipes paper provides a comprehensive survey on the coexistence of cellular and IEEE 802.11 standards from a holistic viewpoint that takes into account the coexistence of all existing and future cellular and IEEE 802.11 standards in all the available unlicensed spectrum bands.Unlike existing survey works focusing mostly on any
Neural architectures have accelerated the advancement in various domains by enabling automatic pattern detection, image classification, audio recognition, and face recognition etc.However, they are computationally expensive to design and expert knowledge in various domains is required.In this paper, a swarm intelligence algorithm is proposed to sea