AIMC Topic: Markov Chains

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Data quality in crowdsourcing and spamming behavior detection.

Behavior research methods Aug 8, 2025
As crowdsourcing emerges as an efficient and cost-effective method for obtaining labels for machine learning datasets, it is important to assess the quality of crowd-provided data to improve analysis performance and reduce biases in subsequent machin...
Markov Chains Data Accuracy Crowdsourcing Humans Machine Learning
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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework.

PloS one Aug 7, 2025
This work proposes a new hybrid model for joint indoor localization and activity recognition by combining a Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model with a Markov Random Field (MRF) for better classification. The CNN-GRU succ...
Algorithms Walking Humans Markov Chains Neural Networks, Computer
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A novel approach to smart-assisted schizophrenia screening based on Raman spectroscopy and deep learning.

Scientific reports Aug 5, 2025
In this study, serum Raman spectra are introduced into the screening of schizophrenia. We collect serum Raman spectra from schizophrenic and healthy individuals, classified them based on four convolutional neural networks, and developed an assisted s...
Female Adult Male Humans Neural Networks, Computer Schizophrenia Markov Chains Deep Learning Spectrum Analysis, Raman
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Limits on the computational expressivity of non-equilibrium biophysical processes.

Nature communications Aug 5, 2025
Many biological decision-making tasks require classifying high-dimensional chemical states. The biophysical and computational mechanisms that enable classification remain enigmatic. In this work, using Markov jump processes as an abstraction of gener...
Computer Simulation Models, Biological Biophysical Phenomena Neural Networks, Computer Thermodynamics Markov Chains
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Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy.

Journal of medical economics Jul 11, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third most common cause of cancer-related death. Cirrhosis is a major contributing factor, accounting for over 90% of HCC cases. With the high mortality rate...
Carcinoma, Hepatocellular Liver Cirrhosis Early Detection of Cancer Decision Trees Magnetic Resonance Imaging Humans Male Artificial Intelligence Markov Chains Middle Aged Female Liver Neoplasms Italy Quality-Adjusted Life Years Aged Cost-Benefit Analysis Cost-Effectiveness Analysis
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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...
Markov Chains Pilots Workload Heart Rate Humans Machine Learning Male Electrocardiography Adult
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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...
Humans Neural Networks, Computer Markov Chains Gymnastics Artificial Intelligence
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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...
Stress, Psychological Image Processing, Computer-Assisted Markov Chains Humans Deep Learning
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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...
Adult Artificial Intelligence Markov Chains Mobile Applications Male Female Middle Aged Mental Health Humans Bayes Theorem Surveys and Questionnaires
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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...
Whale, Killer Feeding Behavior Animals Hidden Markov Models Markov Chains Likelihood Functions
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