Digital twin paradigm: A systematic literature review
Manufacturing enterprises are facing the need to align themselves to the new information
technologies (IT) and respond to the new challenges of variable market demand. One of the …
technologies (IT) and respond to the new challenges of variable market demand. One of the …
A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
One in two cancer patients is significantly distressed: prevalence and indicators of distress
Objective Psychological distress is common in cancer patients, and awareness of its
indicators is essential. We aimed to assess the prevalence of psychological distress and to …
indicators is essential. We aimed to assess the prevalence of psychological distress and to …
Prediction of the landslide susceptibility: Which algorithm, which precision?
HR Pourghasemi, O Rahmati - Catena, 2018 - Elsevier
Coupling machine learning algorithms with spatial analytical techniques for landslide
susceptibility modeling is a worth considering issue. So, the current research intend to …
susceptibility modeling is a worth considering issue. So, the current research intend to …
[PDF][PDF] Applications of artificial intelligence in machine learning: review and prospect
Machine learning is one of the most exciting recent technologies in Artificial Intelligence.
Learning algorithms in many applications that's we make use of daily. Every time a web …
Learning algorithms in many applications that's we make use of daily. Every time a web …
Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study
Abstract As Fuel Oil Consumption (FOC) constitutes over 25% of a vessel's overall operating
cost, its accurate forecasting, and the reliable prediction of the relevant ship operating …
cost, its accurate forecasting, and the reliable prediction of the relevant ship operating …
[BOOK][B] Statistical learning from a regression perspective
RA Berk - 2008 - Springer
This chapter launches a more detailed examination of statistical learning within a regression
framework. Once again, the focus is on conditional distributions. How does the conditional …
framework. Once again, the focus is on conditional distributions. How does the conditional …
[PDF][PDF] Shrink globally, act locally: Sparse Bayesian regularization and prediction
We use Lévy processes to generate joint prior distributions for a location parameter β=(β1,...,
βp) as p grows large. This approach, which generalizes normal scale-mixture priors to an …
βp) as p grows large. This approach, which generalizes normal scale-mixture priors to an …
An effective approach for software project effort and duration estimation with machine learning algorithms
During the last two decades, there has been substantial research performed in the field of
software estimation using machine learning algorithms that aimed to tackle deficiencies of …
software estimation using machine learning algorithms that aimed to tackle deficiencies of …
Machine learning in catalysis, from proposal to practicing
W Yang, TT Fidelis, WH Sun - ACS omega, 2019 - ACS Publications
Recently, machine learning (ML) methods have gained popularity and have performed as
powerfully predictive tools in various areas of academic and industrious activities. In …
powerfully predictive tools in various areas of academic and industrious activities. In …