AIMC Topic: Markov Chains

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CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection.

Scientific reports Apr 10, 2025
Sleep posture, a vital aspect of sleep wellness, has become a crucial focus in sleep medicine. Studies show that supine posture can lead to a higher occurrence of obstructive sleep apnea, while lateral posture might reduce it. For bedridden patients,...
Female Adult Male Humans Neural Networks, Computer Sleep Convolutional Neural Networks Polysomnography Posture Hidden Markov Models Markov Chains
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A Survey on Causal Reinforcement Learning.

IEEE transactions on neural networks and learning systems Apr 4, 2025
While reinforcement learning (RL) achieves tremendous success in sequential decision-making problems of many domains, it still faces key challenges of data inefficiency and the lack of interpretability. Interestingly, many researchers have leveraged ...
Reinforcement, Psychology Humans Neural Networks, Computer Machine Learning Algorithms Decision Making Markov Chains
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Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study.

Journal of theoretical biology Mar 20, 2025
Cholera, an acute diarrheal disease, is a serious concern in developing and underdeveloped areas. A qualitative understanding of cholera epidemics aims to foresee transmission patterns based on reported data and mechanistic models. The mechanistic mo...
Machine Learning Forecasting Disease Outbreaks Humans Neural Networks, Computer Malawi Monte Carlo Method Markov Chains Cholera Basic Reproduction Number Epidemiological Models
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Unsupervised Learning of Progress Coordinates during Weighted Ensemble Simulations: Application to NTL9 Protein Folding.

Journal of chemical theory and computation Mar 19, 2025
A major challenge for many rare-event sampling strategies is the identification of progress coordinates that capture the slowest relevant motions. Machine-learning methods that can identify progress coordinates in an unsupervised manner have therefor...
Unsupervised Machine Learning Molecular Dynamics Simulation Markov Chains Protein Folding Deep Learning
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The analysis of Chinese National ballad composition education based on artificial intelligence and deep learning.

Scientific reports Mar 17, 2025
This study focuses on generating national ballads with ethnic characteristics through algorithms, and exploring the application of artificial intelligence in music composition. As an important component of Chinese traditional culture, national ballad...
China Emotions Markov Chains Artificial Intelligence Algorithms Deep Learning Music Humans Neural Networks, Computer
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Simulation of human-vehicle interaction at right-turn unsignalized intersections: A game-theoretic deep maximum entropy inverse reinforcement learning method.

Accident; analysis and prevention Feb 19, 2025
The safety of pedestrians in urban transportation systems has emerged as a significant research topic. As a vulnerable group within this transportation framework, pedestrians encounter heightened safety risks in complex urban road environments. Prote...
Reinforcement, Psychology Game Theory Deep Learning Humans Environment Design Markov Chains Algorithms Entropy Walking Computer Simulation Pedestrians Accidents, Traffic Safety
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Pretrained Deep Neural Network Kin-SiM for Single-Molecule FRET Trace Idealization.

The journal of physical chemistry. B Jan 14, 2025
Single-molecule fluorescence resonance energy transfer (smFRET) has emerged as a pivotal technique for probing biomolecular dynamics over time at nanometer scales. Quantitative analyses of smFRET time traces remain challenging due to confounding fact...
Single Molecule Imaging Neural Networks, Computer Kinetics Markov Chains Deep Learning Fluorescence Resonance Energy Transfer
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Cost-effectiveness of a machine learning risk prediction model (LungFlag) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain.

Journal of medical economics Jan 8, 2025
OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify individuals at high-risk of non-small cell lung cancer (NSCLC) for screening with low-dose computed tomography (LDCT). This study evaluates the cost-effe...
Markov Chains Quality-Adjusted Life Years Spain Tomography, X-Ray Computed Decision Trees Lung Neoplasms Female Cost-Benefit Analysis Male Humans Carcinoma, Non-Small-Cell Lung Aged Middle Aged Early Detection of Cancer Machine Learning Risk Assessment
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SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Semisupervised human activity recognition (SemiHAR) has attracted attention in recent years from various domains, such as digital health and ambient intelligence. Currently, it still faces two challenges. For one thing, discriminative features may ex...
Humans Neural Networks, Computer Machine Learning Algorithms Databases, Factual Supervised Machine Learning Markov Chains Pattern Recognition, Automated Human Activities
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Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction-diffusion terms.

Neural networks : the official journal of the International Neural Network Society Dec 24, 2024
This paper investigates the probabilistic-sampling-based asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs). Aiming at mitigating the drawback of the well-known fixed-sampling control law, a more general probabi...
Stochastic Processes Computer Simulation Neural Networks, Computer Probability Algorithms Markov Chains
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