Work

Optimization of Cellulose Pulp Drying Using Machine Learning Techniques

Year: 2024

Type: article

Source: International Review on Modelling and Simulations (IREMOS)

DOI: 10.15866/iremos.v17i6.25505

Authors: Ian Ferreira Paulo, Leonardo Magalhães Xavier Silva, Gilvan Wanderley de Farias Neto, Luis Gonzaga Sales Vasconcelos, Wagner Brandão Ramos

Institutions: Universidade Federal de Campina Grande, Universidade Federal Rural do Semi-Árido

Language: English

Topic: Process Optimization and Integration

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Responsible consumption and production, Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4409776346

FWCI: 0.16

Cites:

Cited by: 1

Related to: 10