Classifying Parkinson's disease based on acoustic measures using artificial neural networks

L Berus, S Klancnik, M Brezocnik, M Ficko - Sensors, 2018 - mdpi.com
In recent years, neural networks have become very popular in all kinds of prediction
problems. In this paper, multiple feed-forward artificial neural networks (ANNs) with various …

Evaluation of welding distortion and hardness in the A36 steel plate joints using different cooling media

Akhyar, A Tamlicha, A Farhan, Azwinur, Syukran… - Sustainability, 2022 - mdpi.com
The temperature difference in the weld area during the process of welding, cooling the
welded product, and post-welding affect the formation of distortion. Therefore, this study …

Finite element and experimental analysis of residual stresses in G20Mn5 welded joints considering solid-state phase transformation

H Jiao, H Jin - International Journal of Pressure Vessels and Piping, 2025 - Elsevier
Residual stress (RS) induced during the welding of steel structures can significantly affect
their load-bearing capacity. Solid-state phase transformation (SSPT) is essential to the …

Modeling phase-change materials heat capacity using artificial neural networks

B Delcroix, M Kummert, A Daoud - Heat Transfer Research, 2018 - dl.begellhouse.com
This article investigates the application of Artificial Neural Networks (ANNs) to model Phase-
Change Materials (PCMs) heat capacity using data from Differential Scanning Calorimetry …

[PDF][PDF] Steel weldability investigation by single and double-pass weld thermal cycle simulation

M Dunder, I Samardzic, G Simunovic… - International Journal of …, 2020 - ijsimm.com
Investigation of weldability by thermal cycle simulation of welding is an accelerated testing
procedure that provides quantitative indicators of weldability in the heat-affected zone of the …

Simulation and prediction for a satellite temperature sensors based on artificial neural network

HS Abdelkhalek, H Medhat, I Ziedan… - Journal of Aerospace …, 2019 - SciELO Brasil
Spacecrafts in space environment are exposed to several kinds of thermal sources such as
radiation, albedo and emitted IR from the earth. The thermal control subsystem in spacecraft …

[PDF][PDF] HARDNESS MODELLING OF DEFORMED CW106C ALLOY BY A GENETIC PROGRAMMING.

L Gusel, R Rudolf, M Brezocnik - International Journal of Simulation …, 2018 - ijsimm.com
In the paper an evolutionary algorithm method for Brinell hardness modelling of cold
deformed copper alloy is presented. Genetic programming method, described in the paper …

Learning to predict metal deformations in hot-rolling processes

RO Chavez-Garcia, E Furger… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Hot-rolling is a metal forming process that produces a workpiece with a desired target cross-
section from an input workpiece through a sequence of plastic deformations; each …

The Cora Lake Shear Zone: A Natural Laboratory in the Continental Lower Crust

OF Orlandini - 2019 - search.proquest.com
Preserved lower-crustal terranes provide a view into deep earth processes unparalleled in
spatial and temporal resolution. We use this rich data set of field observations and …