A review of the chemical extraction of chitosan from shrimp wastes and prediction of factors affecting chitosan yield by using an artificial neural network
There are two viable options to produce shrimp shells as by-product waste, either within the
shrimp production phases or when the shrimp are peeled before cooking by the end user …
shrimp production phases or when the shrimp are peeled before cooking by the end user …
Aerogels for biomedical, energy and sensing applications
The term aerogel is used for unique solid-state structures composed of three-dimensional
(3D) interconnected networks filled with a huge amount of air. These air-filled pores …
(3D) interconnected networks filled with a huge amount of air. These air-filled pores …
Modeling and optimization of dyeing process of polyamide 6 and woolen fabrics with plum-tree leaves using artificial intelligence
The dyeing process of textile materials is inherently intricate, influenced by a myriad of
factors, including dye concentration, dyeing time, pH level, temperature, type of dye, fiber …
factors, including dye concentration, dyeing time, pH level, temperature, type of dye, fiber …
Design and optimization of machinability of ZnO embedded-glass fiber reinforced polymer composites with a modified white shark optimizer
This study investigates the role of a newly developed metaheuristic algorithm on
machinability (cutting force) and surface roughness of nano zinc oxide embedded glass fiber …
machinability (cutting force) and surface roughness of nano zinc oxide embedded glass fiber …
A review on computational intelligence methods for modelling of light weight composite materials
Light weight composite materials (LWCM) have gained tremendous attention, thanks to their
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
Classification of textile polymer composites: Recent trends and challenges
Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …
transformed the growth of industries especially automobiles, construction, aerospace and …
Comfort evaluation of ZnO coated fabrics by artificial neural network assisted with golden eagle optimizer model
This paper introduces a novel technique to evaluate comfort properties of zinc oxide
nanoparticles (ZnO NPs) coated woven fabrics. The proposed technique combines artificial …
nanoparticles (ZnO NPs) coated woven fabrics. The proposed technique combines artificial …
Surface wettability of vertical harps for fog collection
Surface wettability is an influential property and plays a pivotal role in fog harvesting. Two
types of surfaces ie, hydrophilic and hydrophobic are generally used for fog harvesting. A …
types of surfaces ie, hydrophilic and hydrophobic are generally used for fog harvesting. A …
Prediction of Methylene Blue Removal by Nano TiO2 Using Deep Neural Network
This paper deals with the prediction of methylene blue (MB) dye removal under the influence
of titanium dioxide nanoparticles (TiO 2 NPs) through deep neural network (DNN). In the first …
of titanium dioxide nanoparticles (TiO 2 NPs) through deep neural network (DNN). In the first …
Energy efficient industrial and textile waste for the fabrication of cementitious composites: A review
A Mahmood, MT Noman, M Pechociakova… - The Journal of The …, 2024 - Taylor & Francis
Emission of greenhouse gases and increasing global warming have posed serious threats
to the environment and survival of mankind. Construction industry is amongst the leading …
to the environment and survival of mankind. Construction industry is amongst the leading …