Remaining useful life estimation using fault to failure transformation in process systems

R Arunthavanathan, F Khan, S Ahmed… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The remaining useful life (RUL) plays a significant role in the predictive maintenance of
process systems. In recent years, data-driven approaches have been used to estimate the …

Machine learning methods for fault detection and diagnosis of digitalized processing system

R Arunthavanathan - 2022 - research.library.mun.ca
This thesis presents novel development and applications of machine learning techniques for
process fault detection, diagnosis, and prognosis from safety and predictive maintenance …

No country for old men (or women): The impact of migration on pension funding adequacy and sustainability

T Poufinas, JM Chen, C Agiropoulos… - Available at SSRN …, 2022 - papers.ssrn.com
Retirement security is of paramount importance to working people. Adequate retirement
income is also a leading concern for private and public pension systems. Pension funding …

A Quantitative Analysis of the Impact of European Promotion Banks on the Competition of EU Countries through Linear Conventional and Machine Learning Methods

C Agiropoulos - SPOUDAI Journal of Economics and Business, 2023 - spoudai.org
In recent years, there has been a growing demand for European Promotional Banks to
become more efficient and effective in their activities. Their role is to support small and …

36 weeks of Multicomponent Training Reverse Strength Sequels in Mastectomy Arm, Improves Functional Fitness and Quality of Life of Breast Cancer Survivors: A …

SGA Encarnação, SB Rodrigues, JE Teixeira… - 2024 - researchsquare.com
Purpose: In addition, the study aimed to explore the predictive factors influencing
improvements in mastectomy arm's strength over the follow-up time. Methods: It was a single …

Relevance, Redundancy, and Regularization: Penalized Regression and the Quest for the ℓ₀ Quasi-Norm

JM Chen - Available at SSRN 4188299, 2022 - papers.ssrn.com
The vector of a linear model's coefficients represents the clearest guide to causal inference.
Collinearity among variables, however, undermines the interpretation of that model. A wildly …

[PDF][PDF] Knowledge uncertainty and lifelong learning in neural systems

C Henning - 2022 - research-collection.ethz.ch
Natural intelligence has the ability to continuously learn from its environment, an
environment that is constantly changing and thus induces uncertainties that need to be …

Correction: Bayesian regression explains how human participants handle parameter uncertainty

J Jegminat, MA Jastrzębowska… - PLOS Computational …, 2022 - journals.plos.org
Fig 5. Median of each of the bimodal response distribution variance components across all
participants and stimuli.(A) Predicted coefficient of positive mode as a function of the …

Modelo predictivo del consumo de gas natural, en el mercado industrial del eje cafetero.

LA Zuleta García - 2021 - repositorio.ucaldas.edu.co
eng: Energy plays a critical role worldwide. Society requires any form of energy to carry on
every modern life activity. In recent years, continuous energy consumption in different …