E-commerce platforms are committed to planning various marketing campaigns to make
profits, and the impact of marketing campaigns is determined by the number of consumers …

This paper proposes a kernel function selection mechanism a support vector machine (SVM)
under sparse representation and its application in bearing fault diagnosis. For a given data …

Background: Ultrasound test is one of the routine tests for the diagnosis of thyroid cancer.
The diagnosis accuracy depends largely on the correct interpretation of ultrasound images …

In this paper, a novel energy management strategy with the improved adaptability to various
conditions for plug‐in hybrid electric vehicle (PHEV) is proposed. The control parameters …

The H-likelihood method proposed by Lee and Nelder (1996) is extensively used in a wide
range of data. In terms of direction, repetitive measured data within classification can be …

The paper presents several methods of feature selection and classification for thyroid
disease diagnosis, related to the machine learning classification problems. Two common …

The most commonly used kernel function of support vector machine (SVM) in nonlinear
separable dataset in machine learning is Gaussian kernel, also known as radial basis …

In the last decade, exponential growth of Internet of Things (IoT) and cloud computing takes
the healthcare services to the next level. At the same time, lung cancer is identified as a …

In today's date where machine learning is the key to solve so many problems in different
fields, one really should know the extent of its importance in their field. One of the major …

This study examines whether the socio-demographic factors and cognitive sign features can
be used for envisaging safety signs comprehensibility using predictive machine learning …