AIMC Topic: Algorithms

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False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
Algorithms Electronic Health Records ROC Curve Humans Machine Learning Federated Learning False Positive Reactions Computer Security
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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 ...
Solubility Polymers Pharmaceutical Preparations Machine Learning Algorithms
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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...
Algorithms Humans Neural Networks, Computer Deep Learning
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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...
Machine Learning Algorithms Humans Breast Neoplasms Prognosis Early Detection of Cancer Female
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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...
Cholinesterase Inhibitors Agaricus Neural Networks, Computer Phenols A549 Cells Humans Antioxidants Cell Proliferation Artificial Intelligence 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...
Federated Learning Image Processing, Computer-Assisted Privacy Neural Networks, Computer Algorithms Brain Neoplasms Deep Learning Tomography, X-Ray Computed Humans
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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 Neural Networks, Computer Deep Learning Electroencephalography Brain-Computer Interfaces Machine Learning Algorithms 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...
Workflow Forests Algorithms Neural Networks, Computer Introduced Species Brazil Unmanned Aerial Devices Trees Deep Learning
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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...
Female Infant, Newborn Deep Learning Humans Algorithms Monitoring, Physiologic Blood Glucose Photoplethysmography Hypoglycemia Infant, Premature
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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 Neuroimaging Algorithms Humans Electroencephalography Brain Machine Learning Nerve Net Computer Simulation
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