The economic losses from natural disasters (eg drought, heavy rain, flood, heat waves)
mainly driven by climate change are increasing day by day. In 2022 alone, they caused …

Time series forecasting of uni-variant rainfall data is done using a hybrid genetic algorithm
integrated with optimized long-short term memory (GA-OLSTM) model. The parameters …

High-resolution radar rainfall data have great potential for rainfall predictions up to 6 h
ahead (nowcasting); however, conventional extrapolation approaches based on in-built …

Treatments for SARS-CoV-2 have caused millions of deaths since the end of 2019, and this
pandemic is yet to be invented [1]. Therefore, authoritative vaccines are needed to control …

Earthquakes are among the most challenging natural phenomena to predict. Most of these
unpredictable earthquakes result in the loss of human lives and property. Seismologists can …

Agriculture, being significantly related to and dependent on natural factors, is most
vulnerable to abnormal behaviors of nature. The trends, frequency, and intensity of natural …

With technological enhancements, the volume, velocity, and variety (3Vs) of the raw digital
Earth data have increased in recent years. Due to the increased availability of computer …

Depremler, tahmin edilmesi en zor doğa olayları arasında yer almaktadır. Bu
öngörülemeyen deprem-lerin ardından çoğu zaman can ve mal kayıpları meydana …