This research breaks new ground in earthquake prediction for Los Angeles, California, by
leveraging advanced machine learning and neural network models. We meticulously …

Earthquakes pose a significant threat to urban areas, necessitating accurate forecasting
models to mitigate their impact. This study focuses on earthquake forecasting in Los …

For decades, California has been considered one of the most seismically active areas in the
United States, if not the most, due to the frequent occurrence of earthquakes from tectonic …

Abstract The Internet of Things (IoT) has seamlessly integrated into various aspects of our
daily lives, spanning wearable devices, biomedical, agricultural, and industrial applications …

Power management in data centers (DSs) is a pressing contemporary concern, particularly
in the context of cost reduction. DCs are the key source of energy consumption as they strive …

In today's society, social media serves as a significant platform for information sharing,
especially during news events when real-time updates are provided. Its accessibility, speed …

Schizophrenia is one of the most serious mental disorders that has been both widely
researched and extensively feared. It is among those mental illnesses which are relatively …

The cause mechanism of collapse disasters is complex and there are many influencing
factors. Convolutional Neural Network (CNN) has a strong feature extraction ability, which …

Given the intricate nature of stock forecasting as well as the inherent risks and uncertainties,
analysis of market trends is necessary to capitalize on optimal investment opportunities for …

Deep learning-based models have revolutionized medical diagnostics by using Big Data to
enhance disease diagnosis and clinical decision-making. However, their significant …