Encoder–decoder neural networks for predicting future FTIR spectra – application to enzymatic protein hydrolysis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200097
Abstract: In the process of converting food‐processing by‐products to value‐added ingredients, fine grained control of the raw materials, enzymes and process conditions ensures the best possible yield and economic return. However, when raw material batches lack… read more here.
Keywords: neural networks; encoder decoder; networks predicting; decoder neural ... See more keywords
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3197521
Abstract: Process variations and device aging impose profound challenges for circuit designers. Without a precise understanding of the impact of variations on the delay of circuit paths, guardbands, which keep timing violations at bay, cannot be… read more here.
Keywords: neural networks; circuit; reliability; networks predicting ... See more keywords
Analysis of Neural Networks for Predicting Time Series When Assessing Industrial Safety Risks
Sign Up to like & getrecommendations! Published in 2020 at "TEM Journal"
DOI: 10.18421/tem92-08
Abstract: The paper describes the choice of an artificial neural network (ANN), the most effective for use in problems of modeling the behavior of complex dynamic systems with the subsequent solution of the forecast problem. The… read more here.
Keywords: analysis neural; neural networks; networks predicting; safety ... See more keywords