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Data-driven AI algorithms for construction machinery
K Liang, J Zhao, Z Zhang, W Guan, M Pan… - Automation in …, 2024 - Elsevier
Based on the transition to Industry 4.0, construction operations are gradually moving
towards large-scale and high-efficiency development. However, excessive manual labor is …
towards large-scale and high-efficiency development. However, excessive manual labor is …
Seismogenic ULF/ELF wave phenomena: Recent advances and future perspectives
M Hayakawa, A Schekotov, J Izutsu… - Open Journal of …, 2023 - scirp.org
There has been enormous progress in the field of electromagnetic phenomena associated
with earthquakes (EQs) and EQ prediction during the last three decades, and it is recently …
with earthquakes (EQs) and EQ prediction during the last three decades, and it is recently …
[HTML][HTML] A multi-input convolutional neural networks model for earthquake precursor detection based on ionospheric total electron content
Earthquakes occur all around the world, causing varying degrees of damage and
destruction. Earthquakes are by their very nature a sudden phenomenon and predicting …
destruction. Earthquakes are by their very nature a sudden phenomenon and predicting …
Flash floods prediction using precipitable water vapor derived from GPS tropospheric path delays over the eastern mediterranean
A flash flood is a rapid and intense response of a drainage area to heavy rainfall events. In
the arid and semiarid parts of the Eastern Mediterranean (EM) region, the spatiotemporal …
the arid and semiarid parts of the Eastern Mediterranean (EM) region, the spatiotemporal …
Forecasting earthquake magnitude and epicenter by incorporating spatiotemporal priors into deep neural networks
Forecasting earthquake magnitude and epicenter is of great significance for disaster
management and hazard mitigation. Existing machine learning (ML)-based earthquake …
management and hazard mitigation. Existing machine learning (ML)-based earthquake …
Predicting Eastern Mediterranean flash floods using support vector machines with precipitable water vapor, pressure, and lightning data
Flash floods in the Eastern Mediterranean (EM) region are considered among the most
destructive natural hazards, which pose a significant challenge to model due to their high …
destructive natural hazards, which pose a significant challenge to model due to their high …
HUMANISE: human-inspired smart management, towards a healthy and safe industrial collaborative robotics
The workplace is evolving towards scenarios where humans are acquiring a more active
and dynamic role alongside increasingly intelligent machines. Moreover, the active …
and dynamic role alongside increasingly intelligent machines. Moreover, the active …
Analysis of TEC variations and prediction of TEC by RNN during Indonesian earthquakes occurred from 2004 to 2024 and comparison with IRI-2020 model
The Ionosphere, a crucial region of Earth's atmosphere extending from approximately 50 to
1000 km above the Earth's surface, plays a pivotal role in global communication, navigation …
1000 km above the Earth's surface, plays a pivotal role in global communication, navigation …
IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model
Time series data associated with seismic activities pose significant challenges in disaster
preparedness. These challenges underscore the need for reliable and timely damage …
preparedness. These challenges underscore the need for reliable and timely damage …
Feasibility of Principal Component Analysis for Multi-Class Earthquake Prediction Machine Learning Model Utilizing Geomagnetic Field Data
Geomagnetic field data have been found to contain earthquake (EQ) precursory signals;
however, analyzing this high-resolution, imbalanced data presents challenges when …
however, analyzing this high-resolution, imbalanced data presents challenges when …