Optimal Hybrid Deep Belief Networks based Cyberattack Detection in Blockchain Assisted Internet of Things Environment DOI

G. Murugesan,

P. Maheswaravenkatesh,

Zayd Ajzan Salami

et al.

Published: Dec. 4, 2024

Language: Английский

Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data DOI Creative Commons
Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan

et al.

Geodesy and Geodynamics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2
DFTQuake: Tripartite Fourier attention and dendrite network for real-time early prediction of earthquake magnitude and peak ground acceleration DOI
Anushka Joshi,

Nithya Reddy Vedium,

Balasubramanian Raman

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 144, P. 110077 - 110077

Published: Jan. 27, 2025

Language: Английский

Citations

1
Recent Advances in Early Earthquake Magnitude Estimation by Using Machine Learning Algorithms: A Systematic Review DOI Creative Commons

Andrés Navarro-Rodríguez,

Oscar Castro Artola, Enrique Efrén García-Guerrero

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(7), P. 3492 - 3492

Published: March 22, 2025

Earthquakes are among the most destructive natural phenomena, leading to significant loss of human life and substantial economic damage that severely impacts affected communities. Rapid detection characterization seismic parameters, including location magnitude, crucial for real-time seismological applications, Earthquake Early Warning (EEW) systems. Machine learning (ML) has emerged as a powerful tool enhance accuracy these enabling more efficient responses events different magnitudes. This systematic review aims provide researchers professionals with summary current state ML applications in seismology, particularly on early earthquake magnitude estimations related topics such phase identification. A search was conducted Scopus, ScienceDirect, IEEE Xplore, Web Science databases, covering period from 2014 7 March 2025. The terms included following: (“earthquake magnitude” OR “earthquake warning”) AND (prediction forecasting estimation forecast classification) (“machine learning” “deep “artificial intelligence”). Out 472 articles initially identified, 28 were selected based pre-defined inclusion criteria. described methods algorithms illustrate strong performance despite limited implementation highlights need develop standardized benchmark datasets promote future progress this field.

Language: Английский

Citations

1
IsoMapGen: Framework for early prediction of peak ground acceleration using tripartite feature extraction and gated attention model DOI
Anushka Joshi, Pradeep Singh, Balasubramanian Raman

et al.

Computers & Geosciences, Journal Year: 2025, Volume and Issue: unknown, P. 105849 - 105849

Published: Jan. 1, 2025

Language: Английский

Citations

0
Seismic prediction in the mediterranean: AI-driven forecasting models DOI

Imen Ziadi,

Nejla Essaddi, Mongi Besbes

et al.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: May 8, 2025

Language: Английский

Citations

0
A cosine similarity-based token subsampling method for vision transformer in cloud computing DOI Creative Commons
Qi Li,

Hayata Kaneko,

Lin Meng

et al.

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 7, 2024

Language: Английский

Citations

0
Optimal Hybrid Deep Belief Networks based Cyberattack Detection in Blockchain Assisted Internet of Things Environment DOI

G. Murugesan,

P. Maheswaravenkatesh,

Zayd Ajzan Salami

et al.

Published: Dec. 4, 2024

Language: Английский

Citations

0