AIMC Topic: Computer Simulation

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Deep-learning-based motion correction using multichannel MRI data: a study using simulated artifacts in the fastMRI dataset.

NMR in biomedicine May 29, 2024
Deep learning presents a generalizable solution for motion correction requiring no pulse sequence modifications or additional hardware, but previous networks have all been applied to coil-combined data. Multichannel MRI data provide a degree of spati...
Artifacts Magnetic Resonance Imaging Motion Female Adult Deep Learning Image Processing, Computer-Assisted Male Brain Computer Simulation Humans
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Reinforcement learning-guided control strategies for CAR T-cell activation and expansion.

Biotechnology and bioengineering May 29, 2024
Reinforcement learning (RL), a subset of machine learning (ML), could optimize and control biomanufacturing processes, such as improved production of therapeutic cells. Here, the process of CAR T-cell activation by antigen-presenting beads and their ...
Immunotherapy, Adoptive Lymphocyte Activation T-Lymphocytes Humans Computer Simulation Machine Learning Cell Culture Techniques Receptors, Chimeric Antigen
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Adaptive sampling artificial-actual control for non-zero-sum games of constrained systems.

Neural networks : the official journal of the International Neural Network Society May 28, 2024
Considering physical constraints encountered by actuators, this paper addresses the non-zero-sum game of continuous nonlinear systems with symmetric and asymmetric input constraints through aperiodic sampling artificial-actual control. Initially, the...
Computer Simulation Artificial Intelligence Nonlinear Dynamics Algorithms Game Theory Humans Neural Networks, Computer
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Heterogeneous coexisting attractors, large-scale amplitude control and finite-time synchronization of central cyclic memristive neural networks.

Neural networks : the official journal of the International Neural Network Society May 27, 2024
Memristors are of great theoretical and practical significance for chaotic dynamics research of brain-like neural networks due to their excellent physical properties such as brain synapse-like memorability and nonlinearity, especially crucial for the...
Computer Simulation Nonlinear Dynamics Artificial Intelligence Algorithms Humans Neural Networks, Computer
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Real-time driving risk prediction using a self-attention-based bidirectional long short-term memory network based on multi-source data.

Accident; analysis and prevention May 25, 2024
Early warning of driving risks can effectively prevent collisions. However, numerous studies that predicted driving risks have suffered from the use of single data sources, insufficiently advanced models, and lack of time window analysis. To address ...
Humans Female Young Adult Adult Neural Networks, Computer Computer Simulation Automobile Driving Accidents, Traffic Attention Male Risk Assessment
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Fast synchronization control and application for encryption-decryption of coupled neural networks with intermittent random disturbance.

Neural networks : the official journal of the International Neural Network Society May 23, 2024
In this paper, we design a new class of coupled neural networks with stochastically intermittent disturbances, in which the perturbation mechanism is different from other existed random neural networks. It is significant to construct the new models, ...
Algorithms Computer Simulation Neural Networks, Computer Stochastic Processes Time Factors Computer Security
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Understanding Human Cognition Through Computational Modeling.

Topics in cognitive science May 23, 2024
One important goal of cognitive science is to understand the mind in terms of its representational and computational capacities, where computational modeling plays an essential role in providing theoretical explanations and predictions of human behav...
Cognition Attention Visual Perception Learning Humans Eye Movements Artificial Intelligence Computer Simulation Neural Networks, Computer
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Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor.

Neural networks : the official journal of the International Neural Network Society May 22, 2024
Memristor and activation function are two important nonlinear factors of the memristive Hopfield neural network. The effects of different memristors on the dynamics of Hopfield neural networks have been studied by many researchers. However, less atte...
Computer Simulation Neural Networks, Computer Neurons Algorithms Nonlinear Dynamics
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Prediction of Klebsiella phage-host specificity at the strain level.

Nature communications May 22, 2024
Phages are increasingly considered promising alternatives to target drug-resistant bacterial pathogens. However, their often-narrow host range can make it challenging to find matching phages against bacteria of interest. Current computational tools d...
Klebsiella Machine Learning Bacteriophages Computer Simulation Host Specificity
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Sliding mode control for uncertain fractional-order reaction-diffusion memristor neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society May 21, 2024
This paper investigates a sliding mode control method for a class of uncertain delayed fractional-order reaction-diffusion memristor neural networks. Different from most existing literature on sliding mode control for fractional-order reaction-diffus...
Diffusion Uncertainty Computer Simulation Time Factors Neural Networks, Computer Algorithms
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