AIMC Topic: Stochastic Processes

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Dynamics of infectious disease mathematical model through unsupervised stochastic neural network paradigm.

Computational biology and chemistry Nov 28, 2024
The viruses has spread globally and have been impacted lives of people socially and economically, which causes immense suffering throughout the world. Thousands of people died and millions of illnesses were brought, by the outbreak worldwide. In orde...
COVID-19 Communicable Diseases Stochastic Processes Models, Theoretical Humans Neural Networks, Computer
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Optimization control for mean square synchronization of stochastic semi-Markov jump neural networks with non-fragile hidden information and actuator saturation.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2024
This paper studies the asynchronous output feedback control and H synchronization problems for a class of continuous-time stochastic hidden semi-Markov jump neural networks (SMJNNs) affected by actuator saturation. Initially, a novel neural networks ...
Neural Networks, Computer Algorithms Computer Simulation Stochastic Processes Feedback Markov Chains
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Statistical inference and neural network training based on stochastic difference model for air pollution and associated disease transmission.

Journal of theoretical biology Nov 8, 2024
A polluted air environment can potentially provoke infections of diverse respiratory diseases. The development of mathematical models can study the mechanism of air pollution and its effect on the spread of diseases. The key is to characterize the in...
Air Pollutants Bayes Theorem Air Pollution Neural Networks, Computer Algorithms Humans Stochastic Processes
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Fractional-order stochastic gradient descent method with momentum and energy for deep neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2024
In this paper, a novel fractional-order stochastic gradient descent with momentum and energy (FOSGDME) approach is proposed. Specifically, to address the challenge of converging to a real extreme point encountered by the existing fractional gradient ...
Algorithms Deep Learning Stochastic Processes Neural Networks, Computer
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Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video.

Computer methods and programs in biomedicine Sep 26, 2024
BACKGROUND AND OBJECTIVES: Post-traumatic stress disorder is a debilitating psychological condition that can manifest following exposure to traumatic events. It affects individuals from diverse backgrounds and is associated with various symptoms, inc...
Humans Algorithms Deep Learning Facial Expression Stochastic Processes Stress Disorders, Post-Traumatic Uncertainty Video Recording
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Forecasting and Predicting Stochastic Agent-Based Model Data with Biologically-Informed Neural Networks.

Bulletin of mathematical biology Sep 23, 2024
Collective migration is an important component of many biological processes, including wound healing, tumorigenesis, and embryo development. Spatial agent-based models (ABMs) are often used to model collective migration, but it is challenging to thor...
Cell Movement Models, Biological Mathematical Concepts Systems Analysis Forecasting Stochastic Processes Humans Computer Simulation Dictyostelium Neural Networks, Computer Animals
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Using recurrent neural network to estimate irreducible stochasticity in human choice behavior.

eLife Sep 6, 2024
Theoretical computational models are widely used to describe latent cognitive processes. However, these models do not equally explain data across participants, with some individuals showing a bigger predictive gap than others. In the current study, w...
Young Adult Reinforcement, Psychology Choice Behavior Adult Neural Networks, Computer Humans Male Computer Simulation Decision Making Female Stochastic Processes
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Timely ICU Outcome Prediction Utilizing Stochastic Signal Analysis and Machine Learning Techniques with Readily Available Vital Sign Data.

IEEE journal of biomedical and health informatics Sep 5, 2024
The ICU is a specialized hospital department that offers critical care to patients at high risk. The massive burden of ICU-requiring care requires accurate and timely ICU outcome predictions for alleviating the economic and healthcare burdens imposed...
Deep Learning Signal Processing, Computer-Assisted Critical Care Male Middle Aged Vital Signs Stochastic Processes Prognosis Intensive Care Units Aged Adult Female Humans Machine Learning Algorithms
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StochCA: A novel approach for exploiting pretrained models with cross-attention.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2024
Utilizing large-scale pretrained models is a well-known strategy to enhance performance on various target tasks. It is typically achieved through fine-tuning pretrained models on target tasks. However, naï ve fine-tuning may not fully leverage knowle...
Stochastic Processes Transfer, Psychology Humans Neural Networks, Computer Machine Learning Algorithms
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Protocol-based control for semi-Markov reaction-diffusion neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
This paper addresses the asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs) under probabilistic event-triggered protocol (PETP) scheduling. A semi-Markov process with a deterministic switching rule is introduced...
Stochastic Processes Computer Simulation Neural Networks, Computer Probability Algorithms Markov Chains
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