@article{aileni_predictive_2024,
	title = {Predictive analysis of electroconductive material parameters for system optimisation},
	volume = {75},
	issn = {12225347},
	url = {https://www.revistaindustriatextila.ro/images/2024/5/014%20RALUCA%20MARIA%20AILENI%20INDUSTRIA%20TEXTILA%20no.5_2024.pdf},
	doi = {10.35530/IT.075.05.2022144},
	abstract = {This paper presents mathematical modelling based on predictive and correlation analysis of independent and dependent
variables of conductive materials to develop sensors or actuators. The resulting analysis and optimisation develop
improved systems based on sensors or actuators, including selecting the appropriate conductive materials for
development. Toward this purpose, 46 materials with electroconductive properties were selected and analysed. The
independent variables considered were mass, air permeability and thickness, and the dependent variable was defined
as the electrical surface resistance of the conductive fabric used.},
	number = {05},
	urldate = {2024-10-28},
	journal = {Industria Textila},
	author = {Aileni, Raluca Maria and Stroe, Cristina},
	month = oct,
	year = {2024},
	pages = {652--657},
}