AIMC Topic: Algorithms

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A novel dual-branch network for comprehensive spatiotemporal information integration for EEG-based epileptic seizure detection.

PloS one Jun 26, 2025
Epilepsy is a neurological disorder characterized by recurrent seizures caused by abnormal brain activity, which can severely affects people's normal lives. To improve the lives of these patients, it is necessary to develop accurate methods to predic...
Electroencephalography Epilepsy Seizures Algorithms Deep Learning Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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Effect of the exposure to brominated flame retardants on hyperuricemia using interpretable machine learning algorithms based on the SHAP methodology.

PloS one Jun 26, 2025
BACKGROUND: Brominated flame retardants (BFRs) are classified as important endocrine disruptors and persistent organic pollutants; nevertheless, there is no comprehensive investigation to evaluate the association between BFRs and hyperuricemia, and t...
Algorithms Female Aged Humans Machine Learning Middle Aged Adult Hyperuricemia Nutrition Surveys Male Environmental Exposure Flame Retardants
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Adaptive DDoS detection mode in software-defined SIP-VoIP using transfer learning with boosted meta-learner.

PloS one Jun 26, 2025
The Internet has continued to provision its infrastructure as a platform for competitive marketing, enhanced productivity, and monetization efficacy. However, it has become a means for adversaries to exploit unsuspecting users and, in turn, compromis...
Internet Computer Security Humans Machine Learning Software Algorithms
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A novel twin time series network for building energy consumption predicting.

PloS one Jun 26, 2025
Energy consumption prediction in buildings is crucial for optimizing energy management. The latest research faces three critical challenges: (1) Insufficient temporal correlation extraction and prediction accuracy, hindering widespread adoption and a...
Humans Neural Networks, Computer Algorithms
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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function.

PloS one Jun 26, 2025
Rolling bearings are the core transmission components of large-scale rotating machinery such as wind power gearboxes and aviation engines, so timely and effective monitoring and diagnosis of their status are crucial to ensure the stable operation of ...
Models, Theoretical Noise Signal-To-Noise Ratio Humans Algorithms Deep Learning
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Developing sediment concentration prediction in the Euphrates River catchment, Türkiye, with a honey badger and coati optimization-based hybrid algorithm.

Environmental monitoring and assessment Jun 25, 2025
Estimation of sediment concentration (SC) is of vital importance in terms of siltation and economic life of dams, lakes and aqueducts, reservoir operations, design of water resource structures, monitoring and control of water pollution, and flood man...
Rivers Geologic Sediments Water Pollutants, Chemical Neural Networks, Computer Turkey Algorithms Environmental Monitoring
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Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data.

JMIR research protocols Jun 25, 2025
BACKGROUND: Suicide in local jails occurs at a higher rate than in the general population, requiring improvements to risk screening methods. Current suicide risk screening practices in jails are insufficient: They are commonly not conducted using val...
Machine Learning Algorithms Female Adult Mental Health Humans United States Mass Screening Prisoners Jails Male Pilot Projects Risk Assessment Suicide Prevention Suicide
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Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms.

European journal of pediatrics Jun 25, 2025
Bone marrow stromal cell antigen-1 (BST1) expression is elevated in a variety of human diseases, but its relationship with pediatric sepsis is unclear. This study aimed to investigate the expression of BST1 in pediatric sepsis patients and its value ...
Enzyme-Linked Immunosorbent Assay Antigens, CD Male Algorithms Receptors, Cell Surface Child Infant GPI-Linked Proteins Isoantigens ROC Curve Humans Biomarkers Sepsis ADP-ribosyl Cyclase Machine Learning Female Adolescent Child, Preschool
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Improved swin transformer-based thorax disease classification with optimal feature selection using chest X-ray.

PloS one Jun 25, 2025
Thoracic diseases, including pneumonia, tuberculosis, lung cancer, and others, pose significant health risks and require timely and accurate diagnosis to ensure proper treatment. Thus, in this research, a model for thorax disease classification using...
Radiography, Thoracic Thoracic Diseases Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Algorithms
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Adaptive fixed-time fault-tolerant trajectory tracking control for disturbed robotic manipulator.

PloS one Jun 25, 2025
This article introduces a fixed-time trajectory control method for robotic manipulators, aimed at improving trajectory precision despite external disturbances, actuator faults, and uncertainties. Initially, a fast fixed-time nonsingular terminal slid...
Computer Simulation Models, Theoretical Robotics Algorithms
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