AIMC Topic: Computer Simulation

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Enhancing MRI brain tumor classification: A comprehensive approach integrating real-life scenario simulation and augmentation techniques.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Nov 2, 2024
Brain cancer poses a significant global health challenge, with mortality rates showing a concerning surge over recent decades. The incidence of brain cancer-related mortality has risen from 140,000 to 250,000, accompanied by a doubling in new diagnos...
Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Computer Simulation Brain Neoplasms Humans
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Optimization of grinding parameters in robotic-assisted preparation of cracked teeth based on fracture mechanics: FEA and experiment.

Computer methods and programs in biomedicine Oct 31, 2024
BACKGROUND AND OBJECTIVES: If left untreated, cracked teeth can lead to tooth loss, of which the incidence is 70%. Dental preparation is an effective treatment, but it is difficult to meet the clinical requirements when traditionally prepared by dent...
Finite Element Analysis Tooth Preparation Humans Stress, Mechanical Tooth Fractures Computer Simulation Robotics
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Data-sampled time-varying formation for singular multi-agent systems with multiple leaders.

Neural networks : the official journal of the International Neural Network Society Oct 31, 2024
The time-varying formation problem of singular multi-agent systems under sampled data with multiple leaders is investigated in this paper. Firstly, a data-sampled time-varying formation control protocol is proposed in the current study where the comm...
Computer Simulation Communication Time Factors Neural Networks, Computer Algorithms
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Effective deep-learning brain MRI super resolution using simulated training data.

Computers in biology and medicine Oct 31, 2024
BACKGROUND: In the field of medical imaging, high-resolution (HR) magnetic resonance imaging (MRI) is essential for accurate disease diagnosis and analysis. However, HR imaging is prone to artifacts and is not universally available. Consequently, low...
Humans Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Computer Simulation Deep Learning
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Differential Game-Based Control for Nonlinear Human-Robot Interaction System With Unknown Desired Trajectory.

IEEE transactions on cybernetics Oct 30, 2024
Differential game is an effective technique to describe the negotiation between the humans and robots, which is widely used to realize the trajectory tracking tasks in the human-robot interaction (HRI). However, most existing works consider the contr...
Man-Machine Systems Game Theory Algorithms Computer Simulation Robotics Nonlinear Dynamics Humans
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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...
Humans Drug Resistant Epilepsy Male Epilepsies, Partial Female Deep Learning Middle Aged Seizures Adult Electroencephalography Neural Networks, Computer Scalp Computer Simulation
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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...
Humans Pharmaceutical Preparations Models, Biological Protein Binding Blood Proteins Machine Learning 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...
Computer Simulation Time Factors Nonlinear Dynamics Neural Networks, Computer Algorithms
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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 Monte Carlo Method Neural Networks, Computer 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 Computer Simulation Neural Networks, Computer Feedback Algorithms
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