APPLICATIONS AND PERSPECTIVES FOR THE USE OF FIBERS VIA MACHINE LEARNING ASSISTED DATA MINING - part II
DOI:
https://doi.org/10.55747/bjedis.v1i1.57220Keywords:
Modification of plant fibers. Machine learning. Nanoscale modification. Data mining. Artificial intelligence.Abstract
The use of vegetable fibers in place of synthetic fibers has been valued due to the wide applicability of these materials in the automotive, textile, packaging and construction industries This is due to the fact that they have properties such as: biodegradation, less abrasive, low density and excellent thermal, mechanical and acoustic properties. Thus, this document discusses the use of plant fibers as additives in polymeric matrices from a prospective analysis, via data mining, specific on the use of nanoparticles as additives in plant fibers and their characterizations and applications in the last 10 years (2011 to 2021) based on 3,000 articles made available in the SCOPUS and SCIENCE DIRECT databases. For this, an artificial intelligence algorithm, based on machine learning, implemented in the Vosviewer software was used. With it, it was observed the advance of the use of fibers of synthetic and vegetable origin, in recent years, focused on the field of health.
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