It is important to analyze the nonstationarity of hydrological time series under the influence of
climate change and human activities. Compared with previous studies, this study focuses …

Abstract Systems for healthcare-oriented monitoring may contribute to the improvement of
the quality of life of elderly persons and to the reduction of the public expenditures on …

This paper investigates the correlation between mutual funds׳ scale and return in China by
text mining on the sheer volume of online financial reports. We crawl the webpages of all …

In this paper, we explore a method to parameterize a linear function with jump
discontinuities, which we refer to as a “sawtooth” function, and then develop theory and …

The research reported in this paper is related to assistive technologies that may be used by
healthcare institutions for monitoring movements of elderly persons. The corresponding …

We introduce highly efficient online nonlinear regression algorithms that are suitable for real
life applications. We process the data in a truly online manner such that no storage is …

This dissertation is a repository of techniques employed in the health management of
industrial gas turbines. The first chapters cover methods of diagnostics using statistics and …

This paper presents a method for directly estimating slope values in a noisy piecewise linear
function. By imposing a Markov structure on the sequence of slopes, piecewise linear fitting …

Three-dimensional visualization of tumor ablation procedures have significant clinical value
because the ability to accurately visualize ablated volumes can help clinicians gauge the …

Sequential regression problem is one of the widely investigated topics in the machine
learning and the signal processing literatures. In order to adequately model the underlying …