Alzheimer's disease (AD) is a common health problem in elderly people. There has been
considerable research toward the diagnosis and early detection of this disease in the past …

Alzheimer's disease (AD) is a progressive disorder affecting intellectual, behavioral and
functional abilities. It is associated with age and pathological alterations leading to the …

Damage identi cation in Structural Health Monitoring (SHM) involves three main steps:
signal acquisition, signal processing, and feature extraction and interpretation. Recently, the …

A model is presented for cost optimization of reinforced concrete (RC) flat slabs of arbitrary
configuration in irregular highrise building structures. The model is general and can include …

One of the most important challenges in computer vision applications is the background
modeling, especially when the background is dynamic and the input distribution might not …

Abstract The control of Variable Speed Wind Turbines (VSWT) to achieve optimal balance of
power generation stability and rotor angular speed is impeded by the non-linear dynamics of …

In this work, a novel self-organizing model called growing neural forest (GNF) is presented. It
is based on the growing neural gas (GNG), which learns a general graph with no special …

Abstract Machine-learning techniques frequently predict the results of machining processes,
based on pre-determined cutting tool settings. By doing so, key parameters of a machined …

Recommender systems can provide users with an ordered list of various items, which greatly
assists users to purchase products that they are satisfied with. However, item …

This paper focuses on the problem of adaptive robust tracking control for a class of uncertain
multiple‐input and multiple‐output (MIMO) nonlinear system. Unlike most previous research …