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

G. Murugesan,

P. Maheswaravenkatesh,

Zayd Ajzan Salami

и другие.

Опубликована: Дек. 4, 2024

Язык: Английский

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

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 144, С. 110077 - 110077

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

1
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

и другие.

Geodesy and Geodynamics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(7), С. 3492 - 3492

Опубликована: Март 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.

Язык: Английский

Процитировано

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

и другие.

Computers & Geosciences, Год журнала: 2025, Номер unknown, С. 105849 - 105849

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

Imen Ziadi,

Nejla Essaddi, Mongi Besbes

и другие.

Natural Hazards, Год журнала: 2025, Номер unknown

Опубликована: Май 8, 2025

Язык: Английский

Процитировано

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

Hayata Kaneko,

Lin Meng

и другие.

Neural Computing and Applications, Год журнала: 2024, Номер unknown

Опубликована: Дек. 7, 2024

Язык: Английский

Процитировано

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

G. Murugesan,

P. Maheswaravenkatesh,

Zayd Ajzan Salami

и другие.

Опубликована: Дек. 4, 2024

Язык: Английский

Процитировано

0