Due to large specific surface area, abundant functional groups and low cost, biochar is
widely used for pollutant removal. The adsorption performance of biochar is related to …

Energy crisis and environmental pollution have become the bottleneck of human
sustainable development. Therefore, there is an urgent need to develop new catalysts for …

Many factors influence the accurate identification of radon anomalies triggered by
earthquakes to varying degrees. Therefore, this paper primarily provides a comprehensive …

Anomalies in soil radon (222 Rn) and thoron (220 Rn) time series data (TSD) have been
reported in many studies prior to earthquakes, suggesting both radioisotopes may serve as …

Earthquakes are the leading natural disasters that have caused loss of life and property
since the formation of the world. Machine learning and deep learning are frequently used in …

Numerous scholars have used traditional thermal anomaly extraction methods and time
series prediction models to study seismic anomalies based on longwave infrared radiation …

Indoor radon is a major hazard to human health; it is one of the leading causes of lung
cancer. Therefore, radon research in Asia has intensified recently due to the growing …

Given the robust nonlinear regression capabilities of Artificial Intelligence (AI) technology, its
commendable performance in numerous geophysical tasks is expected. Yet, AI technology …

Addressing the challenge of missing values is a critical step when preparing and analyzing
data. This process, known as imputation, helps ensure the dataset is complete, accurate …

The electron density is a key parameter to characterize any plasma. Most of the plasma
applications and research in the area of low-temperature plasmas (LTPs) are based on the …