Abstract: Detecting damaged buildings quickly after an earthquake is crucial for emergency teams to save lives. Existing methods for earthquake damage prediction in buildings face challenges related ...

Abstract: This research aims at improving the identification of Alzheimer's dementia by using the optimized attribute selection method and preliminary diagnosis data-driven learning algorithm, namely ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

The official 4-species status was achieved only after reviewing recent genetic, morphological, and biogeographic studies on giraffes. The great reduction of price in genetic and genomic analyses ...

Brawl Stars is no stranger to limited-time modes and experimental events, but even longtime players were caught off guard when they opened the game and noticed something was off. Entire groups of ...