Fuzzy Multivariate Regression Models for Seismic Assessment of Rocking Structures
FI Gkountakou, KE Bantilas, IE Kavvadias, A Elenas… - Applied Sciences, 2023 - mdpi.com
The assessment of rocking response is a challenging task due to its high nonlinearity. The
present study investigates two methodologies to evaluate finite rocking rotations and …
present study investigates two methodologies to evaluate finite rocking rotations and …
An application of fuzzy logistic regression for predicting CVSS severity category of industrial control systems
AM Dere, M Kabak - RAIRO-Operations Research, 2022 - rairo-ro.org
Cybersecurity is rapidly gaining significance due to growing use of computers in daily life
and business sectors. Likewise, industrial sector has also become more vulnerable to cyber …
and business sectors. Likewise, industrial sector has also become more vulnerable to cyber …
Fuzzy logistic regression application on predictions coronary heart disease
V Febriani, D Lestari, S Mardiyati… - BAREKENG: Jurnal Ilmu …, 2023 - ojs3.unpatti.ac.id
Abstract According to the World Health Organization (WHO) in 2015, 70% of cardiac deaths
were caused by coronary heart disease (CHD). Based on WHO data in 2017, 17.5 million …
were caused by coronary heart disease (CHD). Based on WHO data in 2017, 17.5 million …
Linear regression model for substantiation of sustainable state policy in a digital economy
O Dorofyeyev, T Lozinska… - 2020 IEEE 11th …, 2020 - ieeexplore.ieee.org
The article discusses the use of digital mathematical models in justifying public policy for
sustainable economic development. The wider expediency uses of statistical analysis …
sustainable economic development. The wider expediency uses of statistical analysis …
An adaptive knowledge discovery framework using optimal techniques in Logistic Regression machine learning
A Chaurasia - NeuroQuantology, 2022 - search.proquest.com
Abstract Knowledge prediction is the estimation of different events which may something
happening. Now a day prediction is a benchmark to accomplish learning for a machine in …
happening. Now a day prediction is a benchmark to accomplish learning for a machine in …
[引用][C] Change point estimation based on a weighted consensus clustering approach with multiple steps (A real case in health care: Diabetic patients)
M Gharegozloo, R Kamranrad - International Journal of Reliability …, 2024 - World Scientific
One of the primary objectives of control charts is to accurately detect the occurrence of
changes in statistical processes. This enables process analysts to identify the factors …
changes in statistical processes. This enables process analysts to identify the factors …