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 …

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 …

Flash floods prediction using precipitable water vapor derived from GPS tropospheric path delays over the eastern mediterranean

SZ Ziv, Y Reuveni - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
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 …

Forecasting earthquake magnitude and epicenter by incorporating spatiotemporal priors into deep neural networks

J Liu, T Zhang, C Gao, P Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Forecasting earthquake magnitude and epicenter is of great significance for disaster
management and hazard mitigation. Existing machine learning (ML)-based earthquake …

HUMANISE: human-inspired smart management, towards a healthy and safe industrial collaborative robotics

K Lopez-de-Ipina, J Iradi, E Fernandez, PM Calvo… - Sensors, 2023 - mdpi.com
The workplace is evolving towards scenarios where humans are acquiring a more 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

R Mukesh, SC Dass, M Vijay, S Kiruthiga… - Advances in Space …, 2024 - Elsevier
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 …

IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model

A Joshi, P Singh, B Raman - Computers & Geosciences, 2025 - Elsevier
Time series data associated with seismic activities pose significant challenges in disaster
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

K Qaedi, M Abdullah, KA Yusof, M Hayakawa - Geosciences, 2024 - mdpi.com
Geomagnetic field data have been found to contain earthquake (EQ) precursory signals;
however, analyzing this high-resolution, imbalanced data presents challenges when …