Electronic nose, electronic tongue and computer vision systems, designed to artificially
perceive flavour and appearance, have been increasingly used in the food industry as rapid …

The machine learning field, which can be briefly defined as enabling computers make
successful predictions using past experiences, has exhibited an impressive development …

Preprocessing is one of the key components in a typical text classification framework. This
paper aims to extensively examine the impact of preprocessing on text classification in terms …

In classification, feature selection is an important data pre-processing technique, but it is a
difficult problem due mainly to the large search space. Particle swarm optimisation (PSO) is …

Data preprocessing is a major and essential stage whose main goal is to obtain final data
sets that can be considered correct and useful for further data mining algorithms. This paper …

Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …

Feature selection is an important task for data analysis and information retrieval processing,
pattern classification systems, and data mining applications. It reduces the number of …

Principal component analysis (PCA) has been widely applied in the area of computer
science. It is well-known that PCA is a popular transform method and the transform result is …

High dimensionality of the feature space is one of the most important concerns in text
classification problems due to processing time and accuracy considerations. Selection of …

Polycystic Ovary Syndrome (PCOS) is a complex disorder predominantly defined by
biochemical hyperandrogenism, oligomenorrhea, anovulation, and in some cases, the …