A review of the chemical extraction of chitosan from shrimp wastes and prediction of factors affecting chitosan yield by using an artificial neural network

A Hosney, S Ullah, K Barčauskaitė - Marine Drugs, 2022 - mdpi.com
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 …

Aerogels for biomedical, energy and sensing applications

MT Noman, N Amor, A Ali, S Petrik, R Coufal, K Adach… - Gels, 2021 - mdpi.com
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 …

Modeling and optimization of dyeing process of polyamide 6 and woolen fabrics with plum-tree leaves using artificial intelligence

F Shahmoradi Ghaheh, M Razbin, M Tehrani… - Scientific Reports, 2024 - nature.com
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 …

Design and optimization of machinability of ZnO embedded-glass fiber reinforced polymer composites with a modified white shark optimizer

N Amor, MT Noman, M Petru, N Sebastian… - Expert Systems with …, 2024 - Elsevier
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 …

A review on computational intelligence methods for modelling of light weight composite materials

N Amor, MT Noman, M Petru, N Sebastian… - Applied Soft …, 2023 - Elsevier
Light weight composite materials (LWCM) have gained tremendous attention, thanks to their
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …

Classification of textile polymer composites: Recent trends and challenges

N Amor, MT Noman, M Petru - Polymers, 2021 - mdpi.com
Polymer based textile composites have gained much attention in recent years and gradually
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

N Amor, MT Noman, M Petru, N Sebastian - Scientific Reports, 2022 - nature.com
This paper introduces a novel technique to evaluate comfort properties of zinc oxide
nanoparticles (ZnO NPs) coated woven fabrics. The proposed technique combines artificial …

Surface wettability of vertical harps for fog collection

M Azeem, MT Noman, M Petru, M Shahid… - Surfaces and …, 2022 - Elsevier
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 …

Prediction of Methylene Blue Removal by Nano TiO2 Using Deep Neural Network

N Amor, MT Noman, M Petru - Polymers, 2021 - mdpi.com
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 …

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 …