The forecast of electricity consumption plays an essential role in marketing management. In
this study, a random forest (RF) model coupled with ensemble empirical mode …

Obtaining the sensitive feature vectors from the vibration signal is crucial to indicate the
bearing's actual condition. Most often, weak feature vectors are the consequence of heavy …

There is a general consensus that the consumption of organic food can contribute to a
healthy diet; nevertheless, large-scale production of organic food is not an easy task since it …

Bayesian optimization (BO) with Gaussian processes (GPs) surrogate models is widely used
to optimize analytically unknown and expensive-to-evaluate functions. In this paper, we …

This paper proposes a Cascaded Random Forest (CRF) method, which can improve the
classification performance by means of combining two different enhancements into the …

Pascal triangle (known as Yang Hui Triangle in Chinese) is an important model in
mathematics while the entropy has been heavily studied in physics or as uncertainty …

In recent years, deep learning has been attracting substantial attention due to its outstanding
forecasting performance. However, the application of deep learning methods in solving the …

In many cases, we obtain information using various methods in order to make better
decisions. The everything in nature and society has its negative, the negation of negation …

A new robust algorithm based on the explanation method SurvLIME called SurvLIME-KS is
proposed for explaining machine learning survival models. The algorithm is developed to …

Wrist-based hand gesture recognition has the potential to unlock naturalistic human-
computer interaction for a vast array of virtual and augmented reality applications …