AIMC Topic: Computer Simulation

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Seizure Sources Can Be Imaged from Scalp EEG by Means of Biophysically Constrained Deep Neural Networks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 29, 2024
Seizure localization is important for managing drug-resistant focal epilepsy. Here, the capability of a novel deep learning-based source imaging framework (DeepSIF) for imaging seizure activities from electroencephalogram (EEG) recordings in drug-res...
Epilepsies, Partial Scalp Drug Resistant Epilepsy Electroencephalography Seizures Female Neural Networks, Computer Adult Computer Simulation Humans Middle Aged Male Deep Learning
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The state-of-the-art machine learning model for plasma protein binding prediction: Computational modeling with OCHEM and experimental validation.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Oct 28, 2024
Plasma protein binding (PPB) is closely related to pharmacokinetics, pharmacodynamics and drug toxicity. Existing models for predicting PPB often suffer from low prediction accuracy and poor interpretability, especially for high PPB compounds, and ar...
Models, Biological Humans Protein Binding Blood Proteins Machine Learning Pharmaceutical Preparations Computer Simulation
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Synchronization of time-delay dynamical networks via hybrid delayed impulses.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2024
This paper investigates the synchronization problem of time-delay dynamical networks by means of hybrid delayed impulses, where synchronizing impulses and desynchronizing impulses can occur simultaneously. Some sufficient synchronization conditions a...
Time Factors Nonlinear Dynamics Neural Networks, Computer Algorithms Computer Simulation
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Comparison of ANN and XGBoost surrogate models trained on small numbers of building energy simulations.

PloS one Oct 25, 2024
Surrogate optimisation holds a big promise for building energy optimisation studies due to its goal to replace the use of lengthy building energy simulations within an optimisation step with expendable local surrogate models that can quickly predict ...
Models, Theoretical Algorithms Neural Networks, Computer Monte Carlo Method Computer Simulation Machine Learning
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Tracking control problem of nonlinear strict-feedback systems with input nonlinearity: An adaptive neural network dynamic surface control method.

PloS one Oct 24, 2024
In this work, the tracking control problem for a class of nonlinear strict-feedback systems with input nonlinearity is addressed. In response to the influence of input nonlinearity, an auxiliary control system is constructed to compensate for it. To ...
Nonlinear Dynamics Neural Networks, Computer Computer Simulation Algorithms Feedback
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Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature.

Medical image analysis Oct 22, 2024
Computational models of atrial fibrillation (AF) can help improve success rates of interventions, such as ablation. However, evaluating the efficacy of different treatments requires performing multiple costly simulations by pacing at different points...
Humans Machine Learning Fibrosis Atrial Fibrillation Heart Atria Algorithms Computer Simulation Models, Cardiovascular
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Machine Learning-Based Prediction of the Inhibitory Activity of Chemical Substances Against Rat and Human Cytochrome P450s.

Chemical research in toxicology Oct 20, 2024
The prediction of cytochrome P450 inhibition by a computational (quantitative) structure-activity relationship approach using chemical structure information and machine learning would be useful for toxicity research as a simple and rapid tool. Howev...
Cytochrome P-450 Enzyme Inhibitors Animals Machine Learning Rats Cytochrome P-450 Enzyme System Humans Computer Simulation Quantitative Structure-Activity Relationship
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Distributed leader-following bipartite consensus for one-sided Lipschitz multi-agent systems via dual-terminal event-triggered mechanism.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2024
This article analyses leader-following bipartite consensus for one-sided Lipschitz multi-agent systems by dual-terminal event-triggered output feedback control approach. A distributed observer is designed to estimate unknown system states by employin...
Feedback Algorithms Consensus Neural Networks, Computer Computer Simulation Robotics Nonlinear Dynamics
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Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2024
Fault detection consistently plays a crucial role in industrial dynamic processes as it enables timely prevention of production losses. However, since industrial dynamic processes become increasingly coupled and complex, they introduce uneven dynamic...
Reproducibility of Results Algorithms Computer Simulation Neural Networks, Computer
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BiLSTM-Filt: Neural network for radar word segmentation.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2024
Radar word extraction is the analysis foundation for multi-function radars (MFRs) in electronic intelligence (ELINT). Although neural networks enhance performance in radar word extraction, current research still faces challenges from complex electrom...
Humans Algorithms Computer Simulation Neural Networks, Computer Radar Artificial Intelligence
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