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Hybrid quantum–classical ensemble model for enhanced cardiovascular disease risk prediction using clinical data

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Hybrid quantum–classical ensemble model for enhanced cardiovascular disease risk prediction using clinical data

Jatin Gupta et al · Springer · 2026 · ISSN 2948-2992

Abstract In terms of global health, cardiovascular diseases remain an emerging challenge, for which early estimation for timely medical treatment proves crucial. In this paper, an estimate of this challenge has been pres...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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A hybrid machine learning framework for predicting and optimizing the compressive strength and energy absorption of 3D-printed PLA lattices

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A hybrid machine learning framework for predicting and optimizing the compressive strength and energy absorption of 3D-printed PLA lattices

Vijaykumar S. Jatti et al · Springer · 2026 · ISSN 2731-6564

Abstract This research employs hybrid machine learning techniques to optimize the mechanical properties of 3D-printed polylactic acid (PLA) lattice structures. By integrating random forest (RF) and XGBoost (XGB) algorith...

LCC TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng

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Comparative evaluation of machine Learning-based QSPR techniques for predicting polymer glass transition temperature

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Comparative evaluation of machine Learning-based QSPR techniques for predicting polymer glass transition temperature

Kamrun N. Keya et al · Springer · 2026 · ISSN 2730-7727

Abstract The glass transition temperature ( $$\:{T}_{g}$$ ) is a pivotal parameter for amorphous polymers, influencing their behavior under different thermal properties. Assessing $$\:{T}_{g}$$ is crucial for evaluating ...

LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng

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Experimental and ensemble machine learning determination of lateritic soils’ soaked CBR

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Experimental and ensemble machine learning determination of lateritic soils’ soaked CBR

Oludare Adegbola Owolabi et al · Springer · 2026 · ISSN 2948-1546

Abstract Failures of flexible pavements have been attributed to the indiscriminate use of lateritic soils without prior characterisation. This study investigates the compaction behaviour of lateritic soils at Ife-Sekona ...

LCC LCC:Engineering (General). Civil engineering (General)Idioma eng

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High-fidelity machine learning models for predicting antibacterial effects of cerium oxide nanoparticles across bacterial strains

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High-fidelity machine learning models for predicting antibacterial effects of cerium oxide nanoparticles across bacterial strains

Omar Almomani et al · Springer · 2026 · ISSN 2731-9229

Abstract The primary objective of this study is to develop and validate robust data-driven models for accurately predicting bacterial growth inhibition induced by cerium oxide nanoparticles across different bacterial str...

LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng

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