Compared with von Neumann's computer architecture, neuromorphic systems offer more
unique and novel solutions to the artificial intelligence discipline. Inspired by biology, this …

Multivariate statistical methods are effective data-driven approaches for complex practical
systems. Traditional partial least squares (PLS) serves as a latent projection approach …

As energy conversion systems continue to grow in complexity, pneumatic control valves may
exhibit unexpected anomalies or trigger system shutdowns, leading to a decrease in system …

Computational Intelligence Applied to Inverse Problems in Radiative Transfer Page 1 Antônio
José da Silva Neto José Carlos Becceneri Haroldo Fraga de Campos Velho Editors …

With the development of modern industry and computer technology, deep learning is widely
used in the field of fault diagnosis, but it still faces many challenges, such as data missing …

Smart wearable systems have become a necessary part of our daily life with applications
ranging from entertainment to healthcare. In the wearable healthcare domain, the …

In this chapter, the description of the method called Artificial Neural Networks (ANNs) is
presented, including a brief history, the algorithm, and its application to the inverse radiative …

This thesis contributes and provides solutions to the problem of fault diagnosis and
estimation from three different perspectives which are i) fault diagnosis of nonlinear systems …

The growing demand for the use of wireless sensor applications in several aspects makes
QoS as one of the most important problems in wireless sensor applications. Ensuring the …

Retaining customer and finding the loyalty of an existing customer is an important aspect of
today's business industry. In this paper the study of behavior of different machine learning …