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In this study, a novel Quantum Self-Attention Neural Network for Multi-Model Aerial Image Classification (QSANN-MAIC) is proposed. The objective of this paper is to develop a high-performance learning framework capable o...

Background: Students’ prior mathematical knowledge plays a critical role in their success in university mathematics, yet it is often treated diagnostically rather than instructionally. Aim: This study examines studen...

The Nipah virus (NiV) is a zoonotic pathogen known for causing severe illnesses in both animals and humans, including encephalitis and respiratory issues. In this study, we present a nonlinear system of ordinary differen...

The aim of this work is to create the scientific foundations of microwave extractors implementing the effect of mechanodiffusion discovered by the authors, as well as visual, kinetic, and energy substantiation of the fun...

The main objectives of the study are to develop a generalized thermo-electromechanical model of a solid-state heat engine based on a Ni-Ti-Cu shape memory alloy for converting low-grade thermal energy (30-100 °C) into e...

The purpose of this study is to justify the design parameters of spiral-vortex equipment ensuring energy-efficient desulfurization of flue gases from autonomous medium-capacity gas-piston power plants (GPPPs). The study ...

Mobility-as-a-Service (MaaS) orchestration faces critical challenges in managing the Service Quality Index (SQI), Fleet Utilization Ratio (FUR), and Dynamic Pricing Index (DPI) under uncertain and time-varying urban dema...

Abstract Simulating the response of granular materials under realistic loading scenarios is essential for ensuring the reliability of geotechnical infrastructure. This task is particularly challenging because natural soi...

ObjectiveLimestone water hazards in coal seam floors represent one of the two primary categories of mine water hazards in China. Limestone aquifers are generally characterized by abundant static water reserves and consid...

Problem. The reliability of detachable electrical contact connections is significantly reduced due to an increase in transition electrical resistance caused by thermomechanical deformations, oxidation of contact surfaces...

The main objectives of the study are to develop a methodology for calculating the energy efficiency of a pneumatic drive with controlled braking and compressed air recuperation based on a three-dimensional CFD model, as ...

This article examines the startup period of a natural gas pipeline cryogenic reduction unit (CRU) within a gas distribution station (GDS). The objective of the study is to determine the temperature distribution within a ...

The semi-underground double-storey squat silo (SDSS) is innovative storage structure. The underground section of SDSS uses shallow geologic energy for low-temperature storage, indicating its potential suitability for lon...

Photoacoustic tomography (PAT) is a hybrid medical imaging technique that offers both high contrast and a high spatial resolution. One challenging mathematical problem associated with PAT is reconstructing the initial pr...

As the core component of the electromagnetic force compensation weight detector, the force measurement sensitivity of the integrated flexible hinge sensor directly determines the resolution of the electromagnetic force c...

The main objectives of the study are to develop a new adaptive geometric method for real-time monitoring of industrial electricity consumption schedules to ensure timely detection of structural imbalances and minimizatio...

Abstract The multicomponent thermal fluid (MTF) process is a pivotal technology for enhancing heavy oil recovery. However, its injection often triggers particle migration and deposition within reservoirs, leading to perm...

Abstract Low-Earth orbit (LEO) satellites encounter significant energy challenges during eclipse periods and low solar illumination, limiting mission autonomy, operational lifespan, and functionality. This paper presents...

In this work, a review and mathematical analysis of phenomenological models of residual strength and residual stiffness of polymer composite materials under fatigue loading have been carried out. The methodology of the a...

This review provides a comprehensive introduction to the current state of optimization through quantum computing, as well as its main methods and highlights. It begins with an overview of the history and principles of qu...

Aiming at the power flow tracking performance optimization problem of modular multilevel converter (MMC)-unified power flow converter (UPFC) in novel power system, a Lyapunov nonlinear control strategy of MMC-UPFC under ...

Time series analysis is essential for finance, transportation, energy, healthcare, and climate research. While time-frequency domain representation underpins effective time series modeling, its holistic utilization and i...

Despite achieving high volumetric overlap, pixel-based deep learning segmentation approaches do not ensure true vascular connectivity, leading to fragmentations structurally analogous to Branch Retinal Artery Occlusions....