Numerous machine learning (ML) approaches have been proposed for automatic
classification of Alzheimer's disease (AD) from brain imaging data. In particular, over 30 …

Alzheimer's Disease (AD) is one of the leading causes of death in developed countries.
From a research point of view, impressive results have been reported using computer-aided …

Hyperspectral image (HSI) classification is a most challenging task in hyperspectral remote
sensing field due to unique characteristics of HSI data. It consists of huge number of bands …

Breast cancer diagnosis is one of the many areas that has taken advantage of artificial
intelligence to achieve better performance, despite the fact that the availability of a large …

Characterizing the electric energy curve can improve the energy efficiency of existing
buildings without any structural change and is the basis for controlling and optimizing …

Moving towards a more digital and intelligent world equipped with internet-of-thing (IoT)
devices creates many security issues. A distributed denial of service (DDoS) attack is one of …

To enable smart home applications, embedding home monitoring systems with different
sensors can be a feasible remedy to capture the multimodal sensory information from daily …

Abstract Background and Objective: As one of the largest endocrine organs in the human
body, the thyroid gland regulates daily metabolism. Early detection of thyroid disease leads …

This paper presents a local modification of the Levenberg-Marquardt algorithm (LM). First,
the mathematical basics of the classic LM method are shown. The classic LM algorithm is …

Skin lesion recognition is one of the most important tasks in dermoscopic image analysis.
Current Convolutional Neural Network (CNN) algorithms based recognition methods tend to …