Publisher Copyright: Copyright © 2021 by ASTM International.Micro plastic particles are a burgeoning population crisis in marine environments. This work is to predict the release of micro plastic fibers from jeans made from polyester during domestic washing by using of adaptive neuro-fuzzy inference system (ANFIS) model. The advantage of the ANFIS model is to predict the variations between the randomly chosen parameters. This prediction model can be cost-effective and slowed down to study behavior more closely. The consequence of washing duration, temperature, spin speed, detergent types, and conditioner usage was investigated against the micro plastic fiber release. The washing temperature, washing duration, spin speed, detergent types, an...
The main objective of this research is to predict the mechanical properties of viscose/lycra plain k...
This paper presents the modelling of wear data resulting from linear dry contact using artificial ne...
19-25The breaking elongation of rotor-spun yarns has been predicted by using linear regression, art...
Micro plastic particles are a burgeoning population crisis in marine environments. This work is to p...
To prepare measures for washing synthetic fibers, which cause proliferation of microplastics in the ...
Ultraviolet protection factor (UPF) of woven fabrics is modeled by using two soft computing approach...
Fabric pilling is formed due to the entanglement of fibers during mechanical actions including abras...
This article presents an ultramodern modelling algorithm for predicting the remnant cellulose life c...
The author thanks to Technical University of Liberec, Czech Republic for providing the facilities to...
Fabric pilling is affected by many interacting factors. This study uses artificial neural networks t...
Plastics have been used by human beings in a wide variety of materials. Recently, microplastics, eit...
In recent years, with the increasing global focus on environmental protection, the issue of microfib...
310-316The application of adaptive neuro-fuzzy inference system for the prediction of strength tran...
This work investigates the application of artificial neural network modeling (ANN) to model the rela...
One of the pathways for microplastics release into the environment is from the household wastewater....
The main objective of this research is to predict the mechanical properties of viscose/lycra plain k...
This paper presents the modelling of wear data resulting from linear dry contact using artificial ne...
19-25The breaking elongation of rotor-spun yarns has been predicted by using linear regression, art...
Micro plastic particles are a burgeoning population crisis in marine environments. This work is to p...
To prepare measures for washing synthetic fibers, which cause proliferation of microplastics in the ...
Ultraviolet protection factor (UPF) of woven fabrics is modeled by using two soft computing approach...
Fabric pilling is formed due to the entanglement of fibers during mechanical actions including abras...
This article presents an ultramodern modelling algorithm for predicting the remnant cellulose life c...
The author thanks to Technical University of Liberec, Czech Republic for providing the facilities to...
Fabric pilling is affected by many interacting factors. This study uses artificial neural networks t...
Plastics have been used by human beings in a wide variety of materials. Recently, microplastics, eit...
In recent years, with the increasing global focus on environmental protection, the issue of microfib...
310-316The application of adaptive neuro-fuzzy inference system for the prediction of strength tran...
This work investigates the application of artificial neural network modeling (ANN) to model the rela...
One of the pathways for microplastics release into the environment is from the household wastewater....
The main objective of this research is to predict the mechanical properties of viscose/lycra plain k...
This paper presents the modelling of wear data resulting from linear dry contact using artificial ne...
19-25The breaking elongation of rotor-spun yarns has been predicted by using linear regression, art...