Machine learning in optimization of nonwoven fabric bending rigidity in spunlace production line

MR Sadeghi, SM Hosseini Varkiyani… - Scientific Reports, 2023 - nature.com
Spunlace nonwoven fabrics have been extensively employed in different applications such
as medical, hygienic, and industrial due to their drapeability, soft handle, low cost, and …

Survey on vehicular ad hoc networks and its access technologies security vulnerabilities and countermeasures

KB Kelarestaghi, M Foruhandeh, K Heaslip… - arxiv preprint arxiv …, 2019 - arxiv.org
In this study, we attempt to add to the literature of Connected and Automated Vehicle (CAV)
security by incorporating the security vulnerabilities and countermeasures of the Vehicular …

[HTML][HTML] Comprehensive analysis of dynamic message sign impact on driver behavior: a random forest approach

S Banerjee, M Jeihani, DD Brown, S Ahangari - Urban Science, 2020 - mdpi.com
This study investigates the potential effect (s) of different dynamic message signs (DMSs) on
driver behavior using a full-scale high-fidelity driving simulator. Different DMSs are …

Evaluation of performance of different machine learning techniques for structural models

M Yücel, G Bekdaş, SM Nigdeli - International Conference on Intelligent …, 2023 - Springer
In the field of structural engineering, generating the optimum design is extremely important
as well as that to adjust effort and, minimizing the operation time is also a significant issue …

[PDF][PDF] An Approach to Automated Programming of Industrial Robots Based on Graphic Data

I Halenár, L Halenárová, M Kovačic - … v Bratislave so Sídlom v Trnave, 2021 - sciendo.com
The article contains the design and implementation of a system for automatic program
generation for an industrial robot, based on the graphical input recorded by camera. The …

Modal identification and finite element model updating of railway bridges considering boundary conditions using artificial neural networks

M Salehi - 2021 - oda.oslomet.no
Two-part study, with the evaluation of the variation in modal identification of two railway
bridges located in Northern Norway based on free decay responses after the passage of …

Department of Civil Engineering, Istanbul University-Cerrahpaşa, 34320 Avcilar, Istanbul, Turkey {bekdas, melihnig}@ iuc. edu. tr

M Yücel, G Bekdaş, SM Nigdeli - Intelligent Computing and …, 2023 - books.google.com
In the field of structural engineering, generating the optimum design is extremely important
as well as that to adjust effort and, minimizing the operation time is also a significant issue …

Towards a Modern Canadian Engineering Design Curriculum: Balancing Artificial Intelligence and Human Cognition

A Olechowski, PM Khanolkar, J Lu, A Hurst - 2022 - utoronto.scholaris.ca
Engineering design is the process of identifying a need, then conceiving, designing, testing,
and building a solution to meet that need. This is the major process by which engineers …

Algoritmo para mejorar la calidad del café colombiano y una aproximación a buenas prácticas en la logística de aprovisionamiento.

MÁ Rojas Hidalgo, VA Gaitán Díaz - 2022 - repository.uamerica.edu.co
Colombia se posiciona como uno de los tres productores de café más importantes a nivel
mundial. Por lo tanto, es un sector económico primordial para la economía del país. Sin …

Partial discharge detection using convolutional neural network and k-nearest neighbor algorithm

NQJ Al Zaidawi - 2022 - acikerisim.gelisim.edu.tr
A partial discharge (PD), according to IEC 60270, is a localized electrical discharge that only
partially bridges the insulation between conductors. Medium voltage power lines transport …