[HTML][HTML] Using a neural network model to evaluate the mechanical and tribological properties of vermicular cast iron based on hardness

GMA Mahran, ANM Omran - Heliyon, 2023 - cell.com
Measuring the tensile strength, wear resistance, and impact strength of metals, particularly
cast iron, is complex and more expensive than performing hardness tests. In the present …

Perspectives on the Sustainable Steel Production Process: A Critical Review of the Carbon Dioxide (CO2) to Methane (CH4) Conversion Process

W Cardoso, R Di Felice, RC Baptista - Sustainability: Cases and Studies in …, 2023 - Springer
Synthetic natural gas (SNG) can be obtained by methanation. Many thermodynamic reaction
details involved in this process are not yet fully known. In this chapter, a comprehensive …

[HTML][HTML] Deposition of ti-based thin films on AISI 1020 steel substrates using the cathodic cage plasma deposition technique

RFB Silva, W Cardoso, LC Gontijo, BP Pimentel… - Materials …, 2023 - SciELO Brasil
The automotive industry is one of the largest industrial segments in the world market. The
exhaust system of motor vehicles is responsible for the emission and treatment of toxic …

Temperature prediction of submerged arc furnace in ironmaking industry based on residual spatial-temporal convolutional neural network

HX Liu, MJ Li, JQ Guo, XK Zhang, TC Hung - Energy, 2024 - Elsevier
The submerged arc furnace is widely regarded as one of the most promising ore smelting
technologies. However, the real-time monitoring of the multiple physical fields including …

A NOVEL APPROACH TO THE DEVELOPMENT OF NEURAL NETWORK ARCHITECTURE BASED ON METAHEURISTIC PROTIS APPROACH.

TH Febriana Harumy, M Zarlis… - … -European Journal of …, 2023 - search.ebscohost.com
Determining the best model for the neural network architecture and how to optimize the
architecture with the metaheuristic Protis Approach is a subject of the study. A …

A missing data imputation method based on salp swarm algorithm for diabetes disease

GS Hassan, NJ Ali, AK Abdulsahib… - Bulletin of Electrical …, 2023 - beei.org
Most of the medical datasets suffer from missing data, due to the expense of some tests or
human faults while recording these tests. This issue affects the performance of the machine …

Forecast of carbon consumption of a blast furnace using extreme learning machine and probabilistic reasoning

W Cardoso, R Di Felice - Chemical Engineering Transactions, 2022 - cetjournal.it
Blast furnaces are chemical metallurgical reactors for the production of pig iron and slag.
The raw materials used (metallic feedstock) are sinter, granulated ore and pellets. The main …

Pedestrian flow prediction in commercial avenue.

M Benhadou, A El Gonnouni… - International Journal of …, 2024 - search.ebscohost.com
Mobility plans are one of the most important management tools for city development and an
important factor for society and economic growth, where pedestrians are the end goal of any …

Prediction of hot metal temperature in a blast furnace iron making process using multivariate data analysis and machine learning methodology

A Kumar, A Agrawal, A Kumar… - Metallurgical …, 2023 - metallurgical-research.org
The feed-forward back propagation neural (FFBPN) network method and multivariate data
analysis are used to present a new approach for predicting the health of a blast furnace in …

The Role of the Nurse in Diagnostic Imaging Tests

G Loriato, NH Leite, JL Junior, W Cardoso - Brazilian Technology …, 2023 - Springer
The role of nurses in radiology and diagnostic imaging departments is still very young, and
there is a significant discrepancy between nurses' attributions and prior knowledge of the …