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Exploring principal component analysis and convolutional neural network (PCA-CNN) based architecture for enhanced emotion classification in EEG signal extraction

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Exploring principal component analysis and convolutional neural network (PCA-CNN) based architecture for enhanced emotion classification in EEG signal extraction

Sheetal Patil et al · Springer · 2026 · ISSN 3004-9261

Abstract The current work on emotion recognition considering EEG signals has attracted significant attention due to its advantages in fields like mental health, neural computing, and human-computer interaction. Nonethele...

LCC LCC:Science (General)Idioma eng

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A fluid dynamics-inspired modified reynolds number for microexpression recognition

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A fluid dynamics-inspired modified reynolds number for microexpression recognition

K. Sakthiyavathi et al · Springer · 2026 · ISSN 2948-2992

Abstract Facial expressions exhibit a wide range of emotions. They are regulated by neural mechanisms in the brain that are beyond one’s control. Facial expressions are largely involuntary. The term “micro facial exp...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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An ensemble learning approach for detecting bacterial infections using chest X-ray imaging

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An ensemble learning approach for detecting bacterial infections using chest X-ray imaging

Himanshu Jindal et al · Springer · 2026 · ISSN 3004-9261

Abstract Background Bacterial diseases include any illness caused by bacteria. Bacteria are tiny microorganisms that can only be seen with a microscope. Other types of microorganisms include viruses, fungi, and some para...

LCC LCC:Science (General)Idioma eng

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Deep learning paradigms in remote sensing with a comparative evaluation of CNNs and transformers for satellite imagery

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Deep learning paradigms in remote sensing with a comparative evaluation of CNNs and transformers for satellite imagery

Diya Nigam et al · Springer · 2026 · ISSN 3004-9261

Abstract Satellite Image Classification is a process in remote sensing that aims at classifying pixels of satellite imagery into usable information of land use and land cover. This information is not only limited to seve...

LCC LCC:Science (General)Idioma eng

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Evaluating the impact of preprocessing on CNN architectures: comparative analysis of a novel proposed model EyeDiagNet and existing models for eye disease detection

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Evaluating the impact of preprocessing on CNN architectures: comparative analysis of a novel proposed model EyeDiagNet and existing models for eye disease detection

C. A. Aparna et al · Springer · 2026 · ISSN 2731-0809

Abstract Purpose This study introduces a new Convolutional Neural Network (CNN) architecture, EyeDiagNet, for the classification of fundus images into four classes: normal, cataract, diabetic retinopathy (DR), and glauco...

LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma 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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