Feature selection can greatly enhance the performance of a learning algorithm when
dealing with a high dimensional data set. The filter method and the wrapper method are the …

This research paper proposes an intelligent classification technique to identify normal and
abnormal slices of brain MRI data. The manual interpretation of tumor slices based on visual …

There has been a growing research interest in brain tumor classification based on proton
magnetic resonance spectroscopy (1H MRS) signals. Four research centers within the EU …

This study is about the rice syrup adulteration determination in different botanical origin
honey in the food product. Due to time-consuming and large risk of misdiagnosis, it is …

In order to decrease computation loads for path following control of autonomous ground
vehicles (AGVs), in this article, we aim to design an output-feedback path following controller …

Under real-world conditions, faulty samples of key components (eg, bearings and cutting
tools, etc.) are typically limited and sparse. Additionally, their historical data is characterized …

Multi-spectral imaging technique was applied to sorting the green tea category. 320 images
were captured at three wavelengths (580, 680 and 800nm) using a multi-spectral digital …

In this paper a fault diagnosis approach for robotic manipulators, subject to faults of the joints
driving systems, is developed. A model-based diagnostic observer is adopted to detect …

Due to the low total cost of production, Photovoltaic energy constitutes an important part of
the renewable energy installed in the world. However, photovoltaic energy is volatile in …

A back analysis method based on multioutput least-squares support vector regression
machine (MLSSVR) and improved differential evolution algorithm (IDE) is proposed to …