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Application of Machine Learning and Optimization Methods in Engineering Mathematics

The articles published in this Special Issue collectively demonstrate the significant impact of mathematical modeling, machine learning, and optimization techniques in solving complex engineering problems. They cover a broad spectrum of applications, from manufacturing process control and electric v...

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Sparad:
Huvudupphov: Kovačević, Miljan, Bulajić, Borko Đ.
Materialtyp: Online
Språk:engelska
Utgiven: MDPI - Multidisciplinary Digital Publishing Institute 2026
Ämnen:
crumb rubber
fly ash
nano silica
mechanical characteristics
artificial neural network
Pythagorean Fuzzy Analytic Hierarchy Process
Interval Valued Pythagorean Fuzzy Analytic Hierarchy Process
smartness
buildings
join operation
data standardization
spatial data distribution
lagged cross-correlations
time series data
semantic data enrichment
Open Data Barcelona
Smart City
potential theory
BEM
complex analysis
estimations
twin extreme learning machine
within-class scatter
fisher regularization
capped L1-norm
robustness
Cox–Ingersoll–Ross model
Heston model
variance premium principle
HARA utility
PMSM drives
remora optimization algorithm
deep learning
electric vehicles
artificial intelligence
optical filter
big data mining
fuzzy PID control
neural network
yield rate
Länkar:https://directory.doabooks.org/handle/20.500.12854/170584
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