The on-board real-time model (ORM) of gas turbine engines (GTEs) is widely used in
various applications of control systems, such as sensor fault-tolerant control and model …

Hot metal silicon content (HMSC) is usually utilized to measure the quality of hot metal and
reflect the thermal status of blast furnace (BF) system. However, most state-of-the-arts ignore …

Social Internet of Things is the fusion carrier of social network and Internet of Things. In the
social Internet of Things, millions of different intelligent objects connect and communicate …

Breast cancer has become one of the leading causes of death in female population due to
its high morbidity and mortality. However, the treatment options for benign or malignant …

In this paper, we first propose a novel robust loss function called adaptive capped L θ ε-loss.
The L θ ε-loss has some interesting properties, such as robustness, non-convexity, and …

Purpose The purpose of this research was to develop and evaluate a machine learning (ML)
algorithm to accurately predict bamboo compressive strength (BCS). Using a dataset of 150 …

Samples collected from most industrial processes have two challenges: one is contaminated
by the non-Gaussian noise, and the other is gradually obsolesced. This feature can …

Twin extreme learning machine (TELM) is a classical and high-efficiency classifier.
However, it neglects the statistical knowledge hidden inside the data. In this paper, in order …

This paper proposes a density-based semi-supervised online sequential extreme learning
machine (D-SOS-ELM). The proposed method can realize online learning of unlabeled …

With the in-depth penetration of renewable energy in the shipboard power system, the
uncertainty of its output power and the variability of sea conditions have brought severe …