Abstract El Niño-Southern Oscillation (ENSO), which is one of the main drivers of Earth's
inter-annual climate variability, often causes a wide range of climate anomalies, and the …

Climate disasters such as floods and droughts often bring heavy losses to human life,
national economy, and public safety. El Niño/Southern Oscillation (ENSO) is one of the most …

We proposed a novel wavelet threshold denoising method based on the discrete wavelet
transform for noisy microseismic recordings. This algorithm can simultaneously suppress …

Automatic waveform classification and arrival picking methods are widely studied to reduce
or replace the manual works. Machine learning based methods, especially neural networks …

Abstract Development of techniques for detection of mental fatigue has varied applications
in areas where sustaining attention is of critical importance like security and transportation …

The rising number of traffic accidents has become a major issue in our daily life, which has
attracted the concern of society and governments. To deal with this issue, in our previous …

Accurately picking P-and S-wave arrivals of microseismic (MS) signals in real-time directly
influences the early warning of rock mass failure. A common contradiction between accuracy …

以国内外硬岩矿山特别是有色金属矿山开采现状及研究成果为基础, 综述了硬岩矿山开采方法与
技术的发展历程和主要进展. 随着技术的进步和对安全环保要求的提高, 硬岩矿山地应力探测与 …

The location of the acoustic emission (AE) source can monitor the development of the crack
in real time in the complex structure. In recent years, numerous location algorithms have …

In this work, different types of artificial neural networks are investigated for the estimation of
the time of arrival (ToA) in acoustic emission (AE) signals. In particular, convolutional neural …