The recent breakthrough of deep learning based generative models has led to the escalated
generation of photo-realistic synthetic videos with significant visual quality. Automated …

The swift embrace of Industry 4.0 paradigms has led to the growing convergence of
Information Technology (IT) networks and Operational Technology (OT) networks …

Ensemble learning has become a cornerstone in various classification and regression tasks,
leveraging its robust learning capacity across disciplines. However, the computational time …

After the pandemic, research on Artificial Intelligence (AI) in the field of education has seen a
significant increase globally. However, a few studies conducted before the pandemic …

In this study, we propose a machine learning based approach to construct an empirical
model of thermospheric mass densities, based on the MultiLayer Perceptron and bi …

The traditional design method for TRIP/TWIP near-β titanium alloys is time-consuming and
expensive. This paper proposes a machine-learning design method for a near-β titanium …

The present study addresses the problem of semiautomatic age-at-death estimation from
pubic symphysis, a crucial yet complex task in forensic anthropology. Its accuracy directly …

Ensembling is an extremely powerful and popular method for increasing the strength of a
machine learning predictor by combining it with other predictors in order to obtain more …