DEPREM SEVİYE SINIFLANDIRMASI İÇİN HİBRİT BİR CONVLSTM MODELİ: KARŞILAŞTIRMALI BİR ANALİZ

Anıl Utku

doi:10.17780/ksujes.1467269

EN TR

A HYBRID CONVLSTM MODEL FOR EARTHQUAKE LEVEL CLASSIFICATION: A COMPARATIVE ANALYSIS

Abstract

An earthquake is a sudden shaking of the earth's surface as a result of the release of energy stored in the earth's crust. Earthquakes usually occur due to sudden breaking of underground rocks and rapid movement along a fault. In an environment where buildings and infrastructure are not properly constructed and the population is not prepared, an earthquake of even moderate intensity can be devastating. Artificial intelligence methods play an important role in predicting natural disasters, such as earthquake prediction. The hybrid ConvLSTM model developed for this purpose aimed to predict earthquake probabilities by analyzing complex energy dynamics and movements in the earth's crust from large amounts of geological data. ConvLSTM was compared with popular methods such as LR, RF, SVM, XGBoost, MLP, CNN and LSTM using real-time earthquake data provided by USGS. Experimental results showed that ConvLSTM outperformed the compared models with 0.9951 accuracy and 0.9993 AUC.

Keywords

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

Derin Öğrenme

Bölüm

Araştırma Makalesi

Yazarlar

Anıl Utku ^*
0000-0002-7240-8713
Türkiye

Yayımlanma Tarihi

3 Aralık 2024

Gönderilme Tarihi

9 Nisan 2024

Kabul Tarihi

23 Mayıs 2024

Yayımlandığı Sayı

Yıl 1970 Cilt: 27 Sayı: 4

DOI

https://doi.org/10.17780/ksujes.1467269

IZ

https://izlik.org/JA55TU23CH

Kaynak Göster

RIS / Bibtex

APA

Utku, A. (2024). DEPREM SEVİYE SINIFLANDIRMASI İÇİN HİBRİT BİR CONVLSTM MODELİ: KARŞILAŞTIRMALI BİR ANALİZ. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 27(4), 1334-1349. https://doi.org/10.17780/ksujes.1467269

Cited By

Deep Spatiotemporal Learning for Multivariate Water Quality Prediction: Temporal Dynamics–Aware CNN–GRU Hybrid Model

NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University

https://doi.org/10.46572/naturengs.1836097

A HYBRID CONVLSTM MODEL FOR EARTHQUAKE LEVEL CLASSIFICATION: A COMPARATIVE ANALYSIS

Abstract

Keywords