AIMC Topic: Algorithms

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Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations.

Scientific reports Jul 2, 2025
This study introduces a sophisticated predictive framework for determining drug solubility and activity values in formulations via machine learning. The framework utilizes a comprehensive dataset consisting of more than 12,000 data rows and 24 input ...
Pharmaceutical Preparations Solubility Algorithms Polymers Machine Learning
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TDNN achitecture with efficient channel attention and improved residual blocks for accurate speaker recognition.

Scientific reports Jul 2, 2025
In recent years, with the advancement of deep learning, Convolutional Neural Networks (CNNs) have been widely applied in speaker recognition, making CNN-based speaker embedding learning the predominant method for speaker verification. Time Delay Neur...
Neural Networks, Computer Algorithms Deep Learning Humans
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Enhancing breast cancer diagnosis through machine learning algorithms.

Scientific reports Jul 2, 2025
Among the most important health concerns in the world, and the number one cause of death in women, is breast cancer. Bearing in mind that there are more than 100 types of cancer, each presenting different symptoms, its early detection is indeed a big...
Humans Machine Learning Algorithms Breast Neoplasms Female Early Detection of Cancer Prognosis
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Optimization of biological activities of Agaricus species: an artificial intelligence-assisted approach.

Scientific reports Jul 2, 2025
This study aims to determine the optimum extraction conditions that maximize the biological activities of Agaricus campestris and Agaricus bisporus species. In the study, a total of 64 extraction experiments were carried out at different temperatures...
A549 Cells Cholinesterase Inhibitors Agaricus Cell Proliferation Phenols Humans Neural Networks, Computer Algorithms Artificial Intelligence Antioxidants
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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...
Privacy Federated Learning Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Tomography, X-Ray Computed Brain Neoplasms Algorithms
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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)...
Humans Algorithms Deep Learning Electroencephalography Neural Networks, Computer Machine Learning 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...
Unmanned Aerial Devices Deep Learning Workflow Neural Networks, Computer Trees Forests Introduced Species Algorithms Brazil
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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...
Algorithms Female Infant, Newborn Humans Monitoring, Physiologic Hypoglycemia Infant, Premature Blood Glucose Photoplethysmography Deep Learning
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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 Algorithms Brain Mapping Brain Neuroimaging Humans Electroencephalography Computer Simulation Machine Learning Nerve Net
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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 ROC Curve Female Aged, 80 and over Hip Fractures Humans Aged Male Machine Learning
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