AIMC Topic: Algorithms

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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

Scientific reports Jul 2, 2025
The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, comp...
Image Processing, Computer-Assisted Privacy Federated Learning Brain Neoplasms Deep Learning Humans Algorithms Tomography, X-Ray Computed Neural Networks, Computer
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Advancing BCI with a transformer-based model for motor imagery classification.

Scientific reports Jul 2, 2025
Brain-computer interfaces (BCIs) harness electroencephalographic signals for direct neural control of devices, offering significant benefits for individuals with motor impairments. Traditional machine learning methods for EEG-based motor imagery (MI)...
Algorithms Deep Learning Electroencephalography Neural Networks, Computer Machine Learning Humans Brain-Computer Interfaces Imagination
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Explainable few-shot learning workflow for detecting invasive and exotic tree species.

Scientific reports Jul 2, 2025
Deep Learning methods are notorious for relying on extensive labeled datasets to train and assess their performance. This can cause difficulties in practical situations where models should be trained for new applications for which very little data is...
Deep Learning Neural Networks, Computer Algorithms Workflow Unmanned Aerial Devices Brazil Forests Trees Introduced Species
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection.

Scientific reports Jul 2, 2025
In general, deficient birth weight neonates suffer from hypoglycemia, and this can be quite disadvantageous. Like oxygen, glucose is a building block of life and constitutes the significant share of energy produced by the fetus and the neonate during...
Monitoring, Physiologic Blood Glucose Hypoglycemia Deep Learning Photoplethysmography Infant, Premature Female Infant, Newborn Algorithms Humans
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Scalable geometric learning with correlation-based functional brain networks.

Scientific reports Jul 2, 2025
Correlation matrices serve as fundamental representations of functional brain networks in neuroimaging. Conventional analyses often treat pairwise interactions independently within Euclidean space, neglecting the underlying geometry of correlation st...
Magnetic Resonance Imaging Brain Mapping Algorithms Humans Neuroimaging Brain Electroencephalography Nerve Net Computer Simulation Machine Learning
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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Scientific reports Jul 2, 2025
Hip fractures among the elderly population continue to present significant risks and high mortality rates despite advancements in surgical procedures. In this study, we developed machine learning (ML) algorithms to estimate 30-day mortality risk post...
Algorithms Female Aged Humans Aged, 80 and over ROC Curve Machine Learning Hip Fractures Male
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques.

Scientific reports Jul 2, 2025
In this paper, three Double Machine Learning (DML) models are proposed to enhance the accuracy of breast cancer detection using machine learning techniques using breast cancer detection dataset. The DML models learn the primary features using machine...
Early Detection of Cancer Dimensionality Reduction Algorithms Female Breast Neoplasms Neural Networks, Computer Machine Learning Humans
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Employee loyalty evaluation using machine learning in technology-based small and medium-sized enterprises.

Scientific reports Jul 2, 2025
Employee loyalty is a major issue of sustainable human resource management. Small and medium-sized enterprises with high technology content and strong innovation ability are the main body of innovation with great vitality and potential. Employee loya...
Machine Learning Algorithms Humans Technology China Personnel Loyalty
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Hybrid machine learning and physics-based model for estimating lettuce (Lactuca sativa) growth and resource consumption in aeroponic systems.

Scientific reports Jul 2, 2025
As the global population is expected to reach 10.3 billion by the mid-2080s, optimizing agricultural production and resource management is crucial. Climate change and environmental degradation further complicate these challenges, impacting crop produ...
Agriculture Plant Leaves Water Lactuca Nitrates Machine Learning Algorithms
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Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation.

Scientific reports Jul 2, 2025
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. Existing multimodal fusion models usually perform intra-modal fusion at both shal...
Multimodal Imaging Humans Brain Neoplasms Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms
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