Articles with "optimized random" as a keyword



Optimized random forest model for predicting flexural properties of sustainable composites

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Published in 2024 at "Polymer Composites"

DOI: 10.1002/pc.28501

Abstract: In an era of technological advancements, the quest for sustainable products has taken a center stage. The utilization of natural fiber reinforced polymer composites has become crucial in the manufacturing of eco‐friendly products due to… read more here.

Keywords: flexural properties; forest model; random forest; polymer composites ... See more keywords
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Abnormal patterns recognition in bivariate autocorrelated process using optimized random forest and multi-feature extraction.

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Published in 2020 at "ISA transactions"

DOI: 10.1016/j.isatra.2020.09.008

Abstract: Traditional multivariate control charts are unable to determine the specific abnormal variables as detecting process abnormality. To solve this problem, a new model based on optimized random forest (RF) and multi-feature extraction has been proposed.… read more here.

Keywords: optimized random; process; model; multi feature ... See more keywords

Optimized random phase encryption.

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Published in 2018 at "Optics letters"

DOI: 10.1364/ol.43.003558

Abstract: We propose for the first time, to the best of our knowledge, the use of optimized random phases (ORAPs) in a double random phase encryption scheme (DRPE). In DRPE schemes the convolution between two random… read more here.

Keywords: phase encryption; phase; random phase; optimized random ... See more keywords

Optimized Random Forest for Solar Radiation Prediction Using Sunshine Hours

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Published in 2022 at "Micromachines"

DOI: 10.3390/mi13091406

Abstract: Knowing exactly how much solar radiation reaches a particular area is helpful when planning solar energy installations. In recent years the use of renewable energies, especially those related to photovoltaic systems, has had an impressive… read more here.

Keywords: solar radiation; forest solar; optimized random; prediction ... See more keywords