AIMC Topic: Nonlinear Dynamics

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Providing context: Extracting non-linear and dynamic temporal motifs from brain activity.

PloS one Jun 12, 2025
Approaches studying the dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) activity often focus on time-resolved functional connectivity (tr-FC). While many tr-FC approaches have been proposed, most are linear approaches, e.g. ...
Young Adult Adult Male Humans Brain Female Brain Mapping Schizophrenia Nonlinear Dynamics Middle Aged Deep Learning Magnetic Resonance Imaging
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Integrated decision-control for social robot autonomous navigation considering nonlinear dynamics model.

PloS one Jun 6, 2025
Reinforcement learning (RL) has demonstrated significant potential in social robot autonomous navigation, yet existing research lacks in-depth discussion on the feasibility of navigation strategies. Therefore, this paper proposes an Integrated Decisi...
Humans Reinforcement, Psychology Algorithms Walking Decision Making Robotics Reward Nonlinear Dynamics
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Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study.

BMC medical informatics and decision making Jun 3, 2025
BACKGROUND: Timely prehospital care is crucial for patients presenting with high-risk time-sensitive (HRTS) conditions. However, the interplay between response time and demographic factors in patients with breathing problems remains insufficiently un...
Age Factors Emergency Medical Services Sex Factors Middle Aged Emergencies Time Factors Nonlinear Dynamics Retrospective Studies Female Sweden Aged Humans Adult Machine Learning Male
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms.

PloS one May 29, 2025
Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. However, its early detection is crucial for improving patient outcomes. Thermography, which measures temperature variations between heal...
Humans Support Vector Machine Early Detection of Cancer Breast Nonlinear Dynamics Thermography Fractals Female Neural Networks, Computer Breast Neoplasms Machine Learning Diagnosis, Computer-Assisted Algorithms
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VKAD: A novel fault detection and isolation model for uncertainty-aware industrial processes.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
Fault detection and isolation (FDI) are essential for effective monitoring of industrial processes. Modern industrial processes involve dynamic systems characterized by complex, high-dimensional nonlinearities, posing significant challenges for accur...
Industry Uncertainty Neural Networks, Computer Nonlinear Dynamics
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How Can Anomalous-Diffusion Neural Networks Under Connectomics Generate Optimized Spatiotemporal Dynamics.

IEEE transactions on neural networks and learning systems May 2, 2025
Spatiotemporal dynamics in the brain have been recognized as strongly related to the formation of perceived and cognitive diseases, such as delusions and hallucinations in Alzheimer's disease. However, two practical considerations are rarely mentione...
Connectome Humans Models, Neurological Nerve Net Neural Networks, Computer Brain Neurons Algorithms Computer Simulation Nonlinear Dynamics Spatio-Temporal Analysis
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Parallel convolutional neural networks for non-invasive cardiac hemodynamic estimation: integrating uncalibrated PPG signals with nonlinear feature analysis.

Physiological measurement Mar 31, 2025
Understanding cardiac hemodynamic status (CHS) is essential for accurate cardiovascular health assessment, as it is governed by key parameters such as cardiac output (CO), systemic vascular resistance (SVR), and arterial compliance (AC). This study a...
Middle Aged Hemodynamics Humans Deep Learning Neural Networks, Computer Heart Female Convolutional Neural Networks Nonlinear Dynamics Adult Male Photoplethysmography Signal Processing, Computer-Assisted
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Machine Learning-Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study.

Journal of medical Internet research Mar 19, 2025
BACKGROUND: Machine learning (ML) has the potential to enhance performance by capturing nonlinear interactions. However, ML-based models have some limitations in terms of interpretability.
Stroke Nonlinear Dynamics Perioperative Period Aged Male Machine Learning Middle Aged Retrospective Studies Female Humans
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Adaptive control and state error prediction of flexible manipulators using radial basis function neural network and dynamic surface control method.

PloS one Feb 26, 2025
This paper introduces a novel control strategy for managing the uncertainties in flexible joint manipulators, incorporating a Radial Basis Function Neural Network (RBFNN) with Adaptive Dynamic Surface Control (ADSC). This strategy innovatively utiliz...
Computer Simulation Humans Nonlinear Dynamics Neural Networks, Computer Radial Basis Function Networks Algorithms
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Assessing regional competitiveness in Peru: An approach using nonlinear machine learning models.

PloS one Feb 25, 2025
This study addresses the challenges of measuring regional competitiveness using traditional methods, due to the inherent complexity and non-linearity of its determinants'. The development of new Machine Learning (ML) models allows the creation of pre...
Humans Machine Learning Peru Nonlinear Dynamics
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