The ability to make predictions is central to the artificial intelligence problem. While machine
learning algorithms have difficulty in learning to predict events with hundreds of time-step …

For centuries, human artists have been scaling images by hand, sketching with varying
levels of detail depending on the demands. Image scaling is a fundamental image operation …

As local maximum and minimum can reflect the trend feature of subsequence, an approach
of time series piecewise linear representation based on trend feature point is proposed. The …

Time series data account for a major part of data supply available today. Time series mining
handles several tasks such as classification, clustering, query-by-content, prediction, and …

In this chapter, the authors introduce the interval sliding window (ISW) and interval sliding
window and bottom up (ISWAB) algorithms, which are applicable to big data numerical time …

O conhecimento dos hábitos de consumo de energia elétrica tem-se mostrado uma
ferramenta importante nos diversos setores elétricos. A liberalização do setor elétrico, em …

Ces dernières années ont vu l'émergence d'une nouvelle révolution dans l'industrie avec
l'arrivée des objets connectés dans les systèmes de production [HPO16]. En effet, les usines …