Results 201 to 210 of about 97,855 (331)

AI-assisted optimization design of seismic performance parameters for timber structures. [PDF]

PLoS One
Wei D, Ding Y, Zhou F, Zhang X.
europepmc   +1 more source

EARTHQUAKE PREDICTION USING ARTIFICIAL INTELLIGENCE IN THE FERGHANA DEPRESSION (UZBEKISTAN)

И. У. Атабеков
openalex   +2 more sources

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Study on non-tectonic gravity effects in western Shandong. [PDF]

Sci Rep
Li S, Zhu C, Zhu Y, Jia Y, Zhang Q, Lu H, Zhang G.   +6 more
europepmc   +1 more source

Rock friction and its implications for earthquake prediction examined via models of Parkfield earthquakes.

, 1996
T. E. Tullis
openalex   +1 more source

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

Energy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi, Seyed Esmail Razavi, Shams Forruque Ahmed, Khashayar Fardnia, Aydin Qheydarpoor, Hammad Alotaibi   +5 more
wiley   +1 more source

Fuzzy C-Means clustering and LSTM-based magnitude prediction of earthquakes in the Aegean region of Türkiye. [PDF]

Sci Rep
Aloraini B, Cekim HO, Karakavak HN, Ozel G.   +3 more
europepmc   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

A multi-task deep learning approach for landslide displacement prediction with applications in early warning systems. [PDF]

Sci Rep
Strnad D, Mongus D, Horvat Š, Šegina E.   +3 more
europepmc   +1 more source

The East Aegean Sea strong earthquake sequence of October–November 2005: lessons learned for earthquake prediction from foreshocks

, 2006
Gerassimos A. Papadopoulos, I. Latoussakis, E. Daskalaki, G. Diakogianni, Anna Fokaefs, M. Kolligri, K. Liadopoulou, K. Orfanogiannaki, A. Pirentis   +8 more
openalex   +1 more source