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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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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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Forked hybrid architecture combining 1D-CNN and quantum convolutional networks for EEG signal classification

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Forked hybrid architecture combining 1D-CNN and quantum convolutional networks for EEG signal classification

Furkan Esmeray et al · Springer · 2026 · ISSN 2731-0809

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma 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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A deep learning driven framework with ObjTrackNet for real-time object and human detection in smart video surveillance

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A deep learning driven framework with ObjTrackNet for real-time object and human detection in smart video surveillance

L. Abdul Saleem et al · Springer · 2026 · ISSN 2948-2992

Abstract The rising complexity of urban areas, along with growing public safety needs, has made intelligent video surveillance systems more essential. The current surveillance systems that rely on human observation and p...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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An Interpretable Deep Learning Framework for Human Activity Recognition in Smart Sport Using Wearable Devices

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An Interpretable Deep Learning Framework for Human Activity Recognition in Smart Sport Using Wearable Devices

Jingtong Zhang et al · Springer · 2026 · ISSN 1875-6883

Abstract Wearable sensor–based human activity recognition (HAR) is central to smart sport and health-monitoring applications, yet existing deep learning models often rely on ad hoc multimodal fusion and offer limited i...

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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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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Lightweight single-image dehazing via haze-aware attention and discrete wavelet transform

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Lightweight single-image dehazing via haze-aware attention and discrete wavelet transform

Yuanyuan Fan et al · Springer · 2026 · ISSN 2948-2992

Abstract Single-image dehazing is essential for safety-critical vision systems, yet existing CNN-based methods are often too heavy for edge devices or fail to adapt to spatially varying haze density. This paper introduce...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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ZTXPlainaAI an explainable deep learning framework for encrypted traffic anomaly detection in Zero Trust Networks

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ZTXPlainaAI an explainable deep learning framework for encrypted traffic anomaly detection in Zero Trust Networks

Pasam Naga Kavitha et al · Springer · 2026 · ISSN 2948-2992

Abstract The rapid adoption of encrypted communication protocols has raised privacy levels but has also dealt a significant blow to traditional intrusion detection systems that rely on payload inspection for anomaly dete...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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