A survey on evolutionary machine learning
Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …
function like humans. AI has been applied to many real-world applications. Machine …
Machine learning for earthquake prediction: a review (2017–2021)
NSM Ridzwan, SHM Yusoff - Earth Science Informatics, 2023 - Springer
For decades, earthquake prediction has been the focus of research using various methods
and techniques. It is difficult to predict the size and location of the next earthquake after one …
and techniques. It is difficult to predict the size and location of the next earthquake after one …
A new artificial intelligence strategy for predicting the groundwater level over the Rafsanjan aquifer in Iran
This study presents a new strategy to predict the monthly groundwater level with short-and
long-lead times over the Rafsanjan aquifer in Iran using an ensemble machine learning …
long-lead times over the Rafsanjan aquifer in Iran using an ensemble machine learning …
[HTML][HTML] Spatiotemporally explicit earthquake prediction using deep neural network
Due to the complexity of predicting future earthquakes, machine learning algorithms have
been used by several researchers to increase the Accuracy of the forecast. However, the …
been used by several researchers to increase the Accuracy of the forecast. However, the …
Seismicity analysis and machine learning models for short-term low magnitude seismic activity predictions in Cyprus
Effective management and planning for the sustainable development of urban regions
requires a wide range of up-to-date and impartial information. This study focusses on …
requires a wide range of up-to-date and impartial information. This study focusses on …