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Axisymmetric Contact Problem for a Homogeneous Space with a Circular Disk-Shaped Crack Under Static Friction
The paper considers an axisymmetric stress state of a homogeneous elastic space with a circular disc-shaped crack, one of the edges of which is...
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In-memory computing: characteristics, spintronics, and neural network applications insights
In today's digital computing landscape, In-Memory Computing (IMC) has emerged as a revolutionary approach to tackling critical energy efficiency and...
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Intuitionistic fuzzy muirhead means motivated by frank triangular norms
The Muirhead Mean (MM) tools are more powerful and well-known operators utilized to express interrelationships among any input arguments...
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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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Study of the effect of traffic and static loads on the stability and deformation of shallow urban utility tunnels
In this study, the effect of tunnel overburden under static loading, along with traffic loading caused by the passage of vehicles, on the rate of...
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Perturbation of least squares problem of dual linear operator in dual-Hilbert spaces
We introduce the dual-Hilbert space and study the basic properties of a dual operator and its generalized inverse on this space. We provide upper...
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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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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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Incremental concept cognitive learning in dynamic formal contexts based on attribute partial order structure diagram
Partial order formal structure analysis (POFSA) is an emerging theory in the field of concept cognitive learning (CCL). Attribute partial order...
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Optimal design of selected features of exhaust system shields using different optimization methods and artificial neural networks
The article presents problems related to methods of optimal design of heat shields used in exhaust systems of internal combustion engines. The...
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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,...
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Automated diagnosis of premature ventricular contraction arrhythmia through electrocardiogram analysis and machine learning techniques
Premature ventricular beat and its attacks are one of the most common abnormalities that not only old people but also about 33% of heart diseases...
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Open problem on the maximum exponential augmented Zagreb index of unicyclic graphs
A topological index is a numerical property of a molecular graph that explains structural features of molecules. The potential of topological indices...
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Rayleigh-Type Waves in Nonlocal Micropolar Thermoelastic Half-Space Containing Void Pores
Propagation of Rayleigh-type waves is investigated in a half-space composed of nonlocal micropolar thermoelastic material containing void pores....
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Comparing the performance of Ridge Regression and Lasso techniques for modelling daily maximum temperatures in Utraradit Province of Thailand
Daily maximum temperature is one of the important climate components for every country. There are many explanatory variables that may affect a...
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Hybrid regression analysis for the static strength of seasonally frozen soils
Seasonally ice-bound ground are subjected to cyclic freeze–thaw processes, which can significantly degrade their mechanical properties, including...
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A new optimized hybrid approach combining machine learning with WRF-CHIMERE model for PM10 concentration prediction
The forecast of particulate matter PM10 concentration is crucial due to its impacts on public health and the environment. Chemical Transport Models...
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Assessment of the impact of climate change on Argan tree in the Mediterranean GIAHS site, Morocco: current and future distributions
Climate change significantly challenges the sustainability of forest ecosystems, with broad socio-ecological impacts insufficiently assessed. This...
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Gene expression programming-based multivariate model for earth infrastructure: predicting ultimate bearing capacity of rock socketed shafts in layered soil-rock strata
The evaluation of ultimate bearing capacity (Q u ) of rock socketed shafts (RSSs) is crucial for the design of foundation systems. This study proposes...
