Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

The estimation of sediment yield concentration is crucial for the development of stream
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …

At present, the excellent performance of support vector machine (SVM) has made it
successfully applied in many fields. However, when SVM is used for two-dimensional matrix …

In numerous classification problems, class distribution is not balanced. For example, positive
examples are rare in the fields of disease diagnosis and credit card fraud detection. General …

Structural damage detection is of very importance to improve reliability and safety of civil
structures. A novel sensor data-driven structural damage detection method is proposed in …

In ordinary credit card datasets, there are far fewer fraudulent transactions than ordinary
transactions. In dealing with the credit card imbalance problem, the ideal solution must have …

Kernel ridge regression (KRR) is a widely accepted efficient machine learning paradigm that
has been fruitfully implemented for solving both classification and regression problems. KRR …

Several projects and application development teams are spending their precious time and
energy in the field of classification and regression. So, the main target of the proposed …

The class imbalance learning (CIL) problem indicates when one class have very low
proportions of samples (minority class) compared to the other class (majority class). Even …

This paper aims to select an algorithm for the Machine Learning (ML) classification task. For
the proposed analysis, the Multi-criteria Decision Aid (MCDA) Méthode d'ELimination et de …