Background Over the last years Deep Learning has shown to yield remarkable results when
compared to traditional computer vision algorithms, in a large variety of computer vision …

The rapid development of photovoltaic (PV) technology and the growing number and size of
PV power plants require increasingly efficient and intelligent health monitoring strategies to …

Carbon-neutrality transition in building sectors requires combinations of renewable systems
and artificial intelligence (AI) for robustness, reliability, automation, and flexibility. In this …

In a general sense this paper represents an effort to clarify the relationship of discrete and
continuous wavelet transforms. More narrowly, it focuses on bringing together two …

A simple, nonrigorous, synthetic view of wavelet theory is presented for both review and
tutorial purposes. The discussion includes nonstationary signal analysis, scale versus …

In this chapter, we develop the properties of wavelet systems in terms of the underlying filter
banks associated with them. This is an expansion and elaboration of the material in Chapter …

This article is essentially tutorial in nature. We show how any discrete wavelet transform or
two band subband filtering with finite filters can be decomposed into a finite sequence of …

We present the lifting scheme, a new idea for constructing compactly supported wavelets
with compactly supported duals. The lifting scheme uses a simple relationship between all …

The article provides arguments in favor of an alternative approach that uses splines, which is
equally justifiable on a theoretical basis, and which offers many practical advantages. To …

Cryptocurrency price forecasting plays an important role in financial markets. Traditional
approaches face two challenges:(1) it is difficult to ascertain the influential factors related to …