WEKA is a widely used, open-source machine learning platform. Due to its intuitive interface,
it is particularly popular with novice users. However, such users often find it hard to identify …

Many different machine learning algorithms exist; taking into account each algorithm's
hyperparameters, there is a staggeringly large number of possible alternatives overall. We …

This work develops a novel approach based on Machine Learning (ML)-assisted Quality
Function Deployment (QFD) to sift the gold from the stone. It includes Time-Varying Filter …

This research proposes a methodological framework that effectively and efficiently identifies
Pareto-optimal solutions of power flow control strategies (PFCSs) in heterogeneous battery …

One of the issues when interpreting a mammogram is that the density of a pectoral muscle
region is similar to the tumor cells. The appearance of pectoral muscle on medio-lateral …

The technology of formal quantitative estimation of the conformity of mathematical models to
the available dataset is presented. The main purpose of the technology is to make the model …

Friction stir welding is not used for hard alloys because of premature tool failure. A scheme
is created that exploits the physical three-dimensional heat and mass flow models, and …

Cerebrovascular stroke or injury (CVA) is a loss of brain function caused by the sudden
cessation of blood supply to parts of the brain. It is a condition that arises due to circulatory …

Proactive warranty service problems planning and control serve a crucial role in service
continuity and sustainability. In this regard, for the majority of manufacturers, predicting …

This paper presents an efficient solution for high-fidelity large-scale aerodynamic shape
optimization problems based on several developments in the mid-range approximation …