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Estimating S-wave amplitude for earthquake early warning in New Zealand: Leveraging the first 3 seconds of P-Wave
This study addresses the critical question of predicting the amplitude of S-waves during earthquakes in Aotearoa New Zealand (NZ), a highly...
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SCECNet: self-correction feature enhancement fusion network for remote sensing scene classification
Remote sensing images exhibit significant variations in target scale and complex backgrounds, as well as distinct differences within classes and high...
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A new machine learning model for predicting the water quality index
The water quality directly affects the human health and its assessment requires predicting the Water Quality Index (WQI), which is important for...
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Contributions of core, mantle and climatological processes to Earth’s polar motion
Earth’s spin axis slowly moves relative to the crust over time. A 120-year-long record of this polar motion from astronomical and more modern...
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Emergence of lake conditions that exceed natural temperature variability
Lake surface temperatures are projected to increase under climate change, which could trigger shifts in the future distribution of thermally...
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Generation of Archaean oxidizing and wet magmas from mafic crustal overthickening
The geodynamic setting leading to the formation of Earth’s first continents remains debated. Zircons preserved in Archaean granitoids record evidence...
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Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach
This research aimed to investigate the effectiveness of Polyethylene-Terephthalate (PET) as a reinforcement material for sandy soils in enhancing the...
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Evaluating groundwater storage variations in Afghanistan using GRACE, GLDAS, and in-situ measurements
Groundwater resources are essential for providing drinking water and irrigation in Afghanistan. However, the rising demand due to population growth...
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Multi-Model Ensemble Machine Learning Approaches to Project Climatic Scenarios in a River Basin in the Pyrenees
This study employs machine learning algorithms to construct Multi Model Ensembles (MMEs) based on Regional Climate Models (RCMs) within the Esca...
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Projected changes in population exposure to extreme precipitation events over Central Africa under the global warming levels of 1.5 °C and 2 °C: insights from CMIP6 simulations
Assessing the impacts of limiting the Global Warming Level (GWL) of 1.5–2 °C is crucial for strengthening adaptation to climate change in Central...
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Genesis Geological Model of Intracontinental Volcanism Contribution in Polymorphic Silica Geodes Formation, Northern Arabian Plate
The study aims to create a geological model of the role of intracontinental volcanism in the northern Arabian Plate and the formation of various...
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Effects of Irrigation Water Quality on Soil Physico-chemical Proprieties: Case Study in North-West of Tunisia
Poor-quality water containing a high concentration of soluble salts is used to irrigate cropland worldwide, especially in arid and semi-arid regions,...
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Evaluating the impact of eccentric loading on strip footing above horseshoe tunnels in rock mass using adaptive finite element limit analysis and machine learning
The present study investigates the ultimate bearing capacity ( UBC ) of a footing subjected to an eccentric load situated above an unlined...
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Automation of takeoff data for aviation services using self-supervised LSTM approaches with time-series prediction
Landing and takeoff are the most crucial phases of any flight; in particular, the takeoff configuration of an aircraft is a delicate balance between...
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Decline in atmospheric nitrogen deposition in China between 2010 and 2020
The deposition of atmospheric nitrogen sourced from emissions has broad environmental consequences, but long-term measurements of recent air...
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Comparative analysis of SPI, SPEI, and RDI ındices for assessing spatio-temporal variation of drought in Türkiye
This research presents a comprehensive drought analysis using climate data obtained from 219 homogeneously distributed meteorological stations in...
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Assessment and prediction of water quality indices by machine learning-genetic algorithm and response surface methodology
Conventional techniques for determining water adequacy are generally expensive because they take into account a variety of factors. Thus, the problem...
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Exploring the dynamical bifurcation and stability analysis of Nipah virus; novel perspectives utilizing fractional calculus
A zoonotic virus called the Nipah virus (NV) can create deadly illness epidemics in humans. The animal host repository for NV is the fruit bat,...
