Offshore wind energy is drawing increased attention for the decarbonization of electricity
generation. Due to the unpredictable and complex nature of offshore aero-hydro dynamics …

Anomaly detection plays an important role in industry, especially in ensuring system safety
and product quality. Due to the unavailability of anomalous data in many practical cases …

It is a crucial basis to improve the performance of neural network by constructing an
appropriate activation function. This paper proposes a novel modulation window radial basis …

The energy efficiency in the debutanizer reboiler combustion can be monitored from the
oxygen content of the flue gas of the reboiler. The measurement of the oxygen content can …

This paper emphasizes on Bacterial Foraging Optimization Algorithm for effective and
efficient navigation of humanoid NAO, which uses the foraging quality of bacteria …

Electroencephalography is a method of detecting and analyzing electrical activity in the
brain. This electrical activity can be recorded and processed to aid in the clinical diagnosis …

Worldwide energy demand is constantly increasing. This fact, in combination with the ever
growing need to reduce the energy production footprint on the environment, has led to the …

In order to identify and quantitatively diagnose the dynamic unbalance of the cardan shaft
equipped in high-speed trains, firstly, a numerical simulation model of the vehicle …

Human activity recognition (HAR) has been increasingly used in medical care, behavior
analysis, and entertainment industry to improve the experience of users. Most of the existing …

In the analysis of surface electromyography signals (sEMG), the extraction of suitable
features is one of the key factors affecting pattern recognition. The aim of this paper is to …