AIMC Topic: Markov Chains
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Machine learning evaluation model of pilot workload in a low-visibility environment.
Scientific reports
Jul 1, 2025
To analyze the variation trend of pilots' workload in a low-visibility flight environment and then put forward a scientific evaluation method, this study set up an experimental platform using an E01-pro simulated flight platform and a PhysioPlux mult...
Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence.
Scientific reports
Jul 1, 2025
This study aims to develop intelligent gymnastics teaching model based on Artificial Neural Network (ANN). It addresses key issues in traditional gymnastics teaching, such as difficulty in quantifying the teaching process and lack of personalized gui...
A deep learning approach to stress recognition through multimodal physiological signal image transformation.
Scientific reports
Jul 1, 2025
Stress is widely acknowledged as a significant contributor to health issues. Recognizing stress involves assessing an individual's physiological and psychological responses to stressors, which is crucial for human well-being. Physiological signal-bas...
Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.
Journal of medical Internet research
Jun 19, 2025
BACKGROUND: Digital mental health tools promise to enhance the reach and quality of care. Current tools often recommend content to individuals, typically using generic knowledge-based systems or predictive artificial intelligence (AI). However, predi...
Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies.
PloS one
Jun 18, 2025
Ecologists often use a hidden Markov model to decode a latent process, such as a sequence of an animal's behaviours, from an observed biologging time series. Modern technological devices such as video recorders and drones now allow researchers to dir...
Hidden Markov model for acoustic pesticide exposure detection and hive identification in stingless bees.
PloS one
Jun 18, 2025
Pollinator populations are declining globally at an unprecedented rate, driven by factors such as pathogens, habitat loss, climate change, and the widespread application of pesticides. Although colony losses remain difficult to prevent, precision bee...
Modeling eye gaze velocity trajectories using GANs with spectral loss for enhanced fidelity.
Scientific reports
Jun 6, 2025
Accurate modeling of eye gaze dynamics is essential for advancement in human-computer interaction, neurological diagnostics, and cognitive research. Traditional generative models like Markov models often fail to capture the complex temporal dependenc...
Evolutionary Dynamics and Functional Differences in Clinically Relevant Pen β-Lactamases from spp.
Journal of chemical information and modeling
May 2, 2025
Antimicrobial resistance (AMR) is a global threat, with species contributing significantly to difficult-to-treat infections. The Pen family of β-lactamases are produced by all spp., and their mutation or overproduction leads to the resistance of β-...
Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes.
Medical image analysis
Apr 20, 2025
Simulation-Based Inference (SBI) has recently emerged as a powerful framework for Bayesian inference: Neural networks are trained on simulations from a forward model, and learn to rapidly estimate posterior distributions. We here present an SBI frame...
Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning.
Nature communications
Apr 15, 2025
Clear cell renal cell carcinoma (ccRCC) is the most prevalent type of renal cell carcinoma. However, our understanding of ccRCC risk genes remains limited. This gap in knowledge poses challenges to the effective diagnosis and treatment of ccRCC. To a...
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