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This study aims to develop a predictive model for student success by integrating machine learning algorithms with learning style analysis. Educational institutions increasingly recognize the value of early performance prediction to implement timely interventio…
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The prediction of excessive rainfall using numerical weather prediction (NWP) models is unequivocally difficult owing to the myriad of complexities that must be resolved (e.g., parent storm dynamics, microphysics) in order to forecast the placement and intensi…
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The Caesar cipher is one of the most basic cryptographic methods that was invented by Julius Caesar himself. This encryption method was used by him to safely communicate with soldiers. While simple, analysis and techniques to crack the cipher have been questio…
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Abstract Generative models aim to learn the probability distributions underlying data, enabling the generation of new, realistic samples. Quantum-inspired generative models, such as Born machines based on the matrix product state (MPS) framework, have demonstr…
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Life thrives in Earth's most inhospitable environments, from boiling hydrothermal vents to hypersaline lakes and frozen polar deserts, thanks to the remarkable adaptations of extremophilic microorganisms. The study of these organisms has rapidly evolved from e…
europepmc
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europepmc
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europepmc
2026
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europepmc
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Silent speech interfaces (SSIs) offer a viable alternative to traditional microphones in capturing clear audio in noisy environments. We propose a reconceptualized SSI that reproduces voice by monitoring continuous multiaxial strain maps induced by throat musc…
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2026
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europepmc
2026
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europepmc
2025
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
2026
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europepmc
2025
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europepmc
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Weeds pose a significant challenge in agriculture by competing with crops for essential resources, leading to reduced yields. To address this issue, researchers have increasingly adopted advanced machine learning techniques. Recently, Vision Transformers (ViT)…
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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Sea salt increasingly harbors organic contaminants from personal care products, yet current monitoring methods lack spatial resolution and require destructive sampling. This study introduces an innovative analytical framework integrating Laser-Induced Fluoresc…
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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Microfluidic chip technologies, also known as lab-on-a-chip systems, have profoundly transformed laboratory medicine by enabling the miniaturization, automation, and rapid processing of complex diagnostic assays using minimal sample volumes. Recent advances in…
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europepmc
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europepmc
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europepmc
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Ensuring global food security depends on timely and reliable plant disease identification. Traditional disease detection methods often prove inefficient because of the lack of necessary precision. Furthermore, public datasets typically suffer from the class im…
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preprints
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Combining a contactless flow sensor with a neural-network algorithm allows accurate measurement and control of non-Newtonian fluids for healthcare and manufacturing applications.
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In this study, we predict inventory for an IoTenabled vending machine warehouse servicing approximately 1,500 vending machines with the goal of timely replenishing, achieving cost effectiveness, reducing stock waste, optimising the available resources and ensu…
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