The use of feed-forward and cascade-forward neural networks to determine swelling potential of clayey soils

D Narmandakh, C Butscher, FD Ardejani… - Computers and …, 2023 - Elsevier
Clay soils can exhibit excessive swelling due to changes in water content. The clay swelling
threatens the long-term stability of structures and foundations, thus an accurate prediction of …

[Retracted] Compensated Fuzzy Neural Network‐Based Music Teaching Ability Assessment Model

X Chen - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
College is the main place to carry out music teaching, and it is important to assess the music
teaching ability in college effectively. Based on this, this paper firstly analyzes the necessity …

Machine learning and neural network based model predictions of soybean export shares from US Gulf to China

S Awasthi, I SenGupta, W Wilson… - Statistical Analysis and …, 2022 - Wiley Online Library
In this paper, we propose a general model for the soybean export market share dynamics
and provide several theoretical analyses related to a special case of the general model. We …

Secondary Processing of Aramid with AWJ and Optimization with NSGA-III

M Kahya, E Doğankaya, Ö Çaylan… - Proceedings of the …, 2022 - journals.sagepub.com
The secondary operations of composite parts are performed following thermal cure
processes, which generate the final dimensions with desired tolerance and quality …

PSO-Based Improved Surface Roughness Measuring Approach of Manufactured Product Within CP Factory Using T6 6068 Aluminium

Y Kaushik, T Ghosh - Proceedings of Seventh International Congress on …, 2022 - Springer
This paper presents a methodology to obtain improved quality of surface roughness during
production of mobile case cover inside a cyberphysical (CP) factory using micro-CNC end …

A predictive model to estimate swelling potential of expansive soils

D Narmandakh - 2022 - pure.unileoben.ac.at
Clay soils can exhibit excessive swelling due to changes in moisture content. The clay
swelling threats the long-term stability of structures and foundations, and thus, a correct …

The First Exit-Time Analysis of an Approximate Barndorff-Nielsen and Shephard Model, with Data Science-Based Applications in the Commodity Market

S Awasthi - 2021 - search.proquest.com
In this dissertation, an approximate version of the Barndorff-Nielsen and Shephard model,
driven by a Brownian motion and a Lévy subordinator, is formulated. The first-exit time of the …

NSGA III for CNC End Milling Process Optimization

T Ghosh, K Martinsen - … , and Applications: First Symposium, SoMMA 2019 …, 2020 - Springer
Abstract Computer Numerical Controlled (CNC) end milling processes require very complex
and expensive experimentations or simulations to measure the overall performance due to …