Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities

J Jia, W Ye - Remote Sensing, 2023 - mdpi.com
Earthquake Disaster Assessment (EDA) plays a critical role in earthquake disaster
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …

LSTM based forecasting of the next day's values of ionospheric total electron content (TEC) as an earthquake precursor signal

C Budak, V Gider - Earth Science Informatics, 2023 - Springer
The sudden vibrations that occur due to the fractures in the Earth's crust, spreading in waves
and shaking the Earth's surface, are natural disaster that causes significant loss of life and …

Deep multi-scale dilated convolution neural network with attention mechanism: a novel method for earthquake magnitude classification

P Kavianpour, M Kavianpour… - 2022 8th Iranian …, 2022 - ieeexplore.ieee.org
The magnitude of an earthquake influences the amount of damage and casualties it causes
in any society. Although reliable and timely prediction of magnitude earthquakes can help …

[HTML][HTML] Federated Multi-Label Learning (FMLL): Innovative Method for Classification Tasks in Animal Science

B Ghasemkhani, O Varliklar, Y Dogan, S Utku… - Animals, 2024 - mdpi.com
Simple Summary This study addresses the classification task in animal science, which helps
organize and analyze complex data, essential for making informed decisions. It introduces …

Earthquake Multi-Class Detection Using Artificial Intelligence

P Kavitha, B Gopinathan… - Novel AI Applications for …, 2024 - igi-global.com
The goal of the chapter on earthquake multi-magnificence detection and the use of synthetic
intelligence is to discover and exhibit the usage of device learning and AI techniques for …