In the recent period, machine learning approaches have been widely used in many different
fields. For example, in such applications where high immunities to noisy conditions are …

Dynamic measuring concepts of sensors use a variety of different metrics. Some monitor the
amplitude and/or phase, while others track resonance frequency or stability thresholds …

The occurrence of an earthquake has immediate consequences, such as the destruction of
buildings. However, the impact can be much more severe and extend over time. The arrival …

Arrival picking is a traditional and important topic in the field of seismic exploration.
Depending on the quality of seismic data, the picking results are prone to large errors. As …

This article introduces a novel smart sensor that employs an advanced algorithm for
earthquake early warning (EEW). The sensor utilizes a smart sampling technique to extract …

The accurate detection of changes has the potential to form a fundamental component of
systems which autonomously solicit user interaction based on transitions within an input …

The paper presents a new algorithm for automatic segmentation of seismic signal. This
segmentation relies on the observation of changes in the signal spectrum structure based …

This paper presents a new method for earthquake early warning alert that uses a smart
sampling technique that expose the signal information in a way that it is simpler to infer …

A new earthquake early warning algorithm is proposed in this paper. Intelligent sampling
technique is used to expose signal information in a way to facilitate the inference of …

The monitoring of human activities using simple body worn sensors is an important and
emerging area of research in machine learning. The sensors capture a large amount of data …