Machine learning in recycling business: an investigation of its practicality, benefits and future trends

D Ni, Z Xiao, MK Lim - Soft Computing, 2021 - Springer
Abstract Machine learning (ML) algorithms, such as neural networks, random forest, and
more recent deep learning, are illustrating their utility for waste recycling. The increasing …

Multiple linear regression to predict the brightness of waste fibres mixtures before bleaching

G Tofani, I Cornet, S Tavernier - Chemical Papers, 2022 - Springer
Waste paper is recovered and bleached to produce recycled newsprints and magazines. It is
composed of a fibre mixture from different wood pulping processes. Each type of fibre shows …

Recycling common materials: Effectiveness, optimal decisions, and coordination mechanisms

H Cui, G Sošić - European Journal of Operational Research, 2019 - Elsevier
A growing amount of municipal solid waste (MSW) is generated worldwide, and common
materials (paper, plastic, metals, and glass), which account for more than half of MSW …

Advances and prospects for adsorption-driven valorization of newspapers using activated carbon: a short review

NR Putra, AN Mohd Faizal, ES Harsanti… - Nordic Pulp & Paper …, 2024 - degruyter.com
The valorization of newspaper waste through adsorption-driven processes using activated
carbon presents a promising avenue for sustainable waste management. This …

[HTML][HTML] Prediction of Flotation Deinking Performance: A Comparative Analysis of Machine Learning Techniques

T Gavrilović, V Despotović, MI Zot, MS Trumić - Applied Sciences, 2024 - mdpi.com
Flotation deinking is one of the most widely used techniques for the separation of ink
particles from cellulose fibers during the process of paper recycling. It is a complex process …

Kriging method-based return prediction of waste electrical and electronic equipment in reverse logistics

J Lv, S Du - Applied Sciences, 2021 - mdpi.com
In reverse logistics, the accurate prediction of waste electrical and electronic equipment
(WEEE) return amount is of great significance to guide electronic enterprises to formulate a …

[PDF][PDF] Predicting the success of TVET learners in a higher education engineering programme

RA Stops - 2021 - openscholar.dut.ac.za
South Africa has experienced radical political and social change since 1994. Recognised for
their role in the transformation process, universities have been and remain at the forefront of …

[PDF][PDF] RECIKLAŽA ŠTAMPANOG PAPIRA PRIMENOM PROCESA PRIPREME MINERALNIH SIROVINA

MS Trumić, M Antonijević, MŽ Trumić, G Bogdanović - academia.edu
This paper describes the waste paper recycling process. Special emphasis is placed on the
description of technological phase (disintegration or grinding, screening, cleaning, washing …

Model inteligentnog sistema adaptivnog upravljanja procesom prerade rude

IM Jovanović - 2015 - search.proquest.com
U oblasti procesa prerade rude, flotacijska koncentracija predstavlja jednu od najznačajnijih
i najčešće primenjivanih metoda separacije korisnih od nekorisnih minerala. Samim tim …

[PDF][PDF] Modeling and prediction of flotation performance using support vector regression

V Despotović, MS Trumić, MŽ Trumić - Recycling and Sustainable …, 2017 - rsd.tfbor.bg.ac.rs
Paper production, due to its constantly increased consumption in recent years, has a huge
environmental impact. The most obvious one is the overconsumption of wood resources, but …