AIMC Topic: Computer Simulation

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NeoSLAM: Long-Term SLAM Using Computational Models of the Brain.

Sensors (Basel, Switzerland) Feb 9, 2024
Simultaneous Localization and Mapping (SLAM) is a fundamental problem in the field of robotics, enabling autonomous robots to navigate and create maps of unknown environments. Nevertheless, the SLAM methods that use cameras face problems in maintaini...
Computer Simulation Robotics Humans Algorithms Brain
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In silico prediction of ocular toxicity of compounds using explainable machine learning and deep learning approaches.

Journal of applied toxicology : JAT Feb 8, 2024
The accurate identification of chemicals with ocular toxicity is of paramount importance in health hazard assessment. In contemporary chemical toxicology, there is a growing emphasis on refining, reducing, and replacing animal testing in safety evalu...
Humans Machine Learning Computer Simulation Animals Deep Learning Algorithms Databases, Factual Eye
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Residual current detection method based on improved VMD-BPNN.

PloS one Feb 8, 2024
To further enhance the residual current detection capability of low-voltage distribution networks, an improved adaptive residual current detection method that combines variational modal decomposition (VMD) and BP neural network (BPNN) is proposed. Fi...
Computer Simulation Entropy Neural Networks, Computer Algorithms
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Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding.

IEEE/ACM transactions on computational biology and bioinformatics Feb 5, 2024
Computational drug repositioning can identify potential associations between drugs and diseases. This technology has been shown to be effective in accelerating drug development and reducing experimental costs. Although there has been plenty of resear...
Computer Simulation Drug Development Deep Learning Drug Repositioning
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Validation of a Simulation Model for Robotic Myomectomy.

Journal of minimally invasive gynecology Feb 1, 2024
STUDY OBJECTIVE: Several simulation models have been evaluated for gynecologic procedures such as hysterectomy, but there are limited published data for myomectomy. This study aimed to assess the validity of a low-cost robotic myomectomy model for su...
Robotic Surgical Procedures Female Prospective Studies Uterine Myomectomy Reproducibility of Results Computer Simulation Humans Clinical Competence Robotics
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Hemodynamic factors of spontaneous vertebral artery dissecting aneurysms assessed with numerical and deep learning algorithms: Role of blood pressure and asymmetry.

Neuro-Chirurgie Jan 29, 2024
BACKGROUND AND OBJECTIVES: The pathophysiology of spontaneous vertebral artery dissecting aneurysms (SVADA) is poorly understood. Our goal is to investigate the hemodynamic factors contributing to their formation using computational fluid dynamics (C...
Deep Learning Blood Pressure Hydrodynamics Intracranial Aneurysm Middle Aged Hemodynamics Female Male Humans Vertebral Artery Algorithms Vertebral Artery Dissection Computer Simulation
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Unsupervised motion artifact correction of turbo spin-echo MRI using deep image prior.

Magnetic resonance in medicine Jan 28, 2024
PURPOSE: In MRI, motion artifacts can significantly degrade image quality. Motion artifact correction methods using deep neural networks usually required extensive training on large datasets, making them time-consuming and resource-intensive. In this...
Image Processing, Computer-Assisted Computer Simulation Humans Magnetic Resonance Imaging Algorithms Deep Learning Motion Neural Networks, Computer Brain Artifacts
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Scalable Multi-Hierarchy Embedded Platform for Neural Population Simulations.

IEEE transactions on biomedical circuits and systems Jan 26, 2024
Brain-inspired structured neural circuits are the cornerstones of both computational and perceived intelligence. Real-time simulations of large-scale high-dimensional neural populations with complex nonlinearities pose a significant challenge. Taking...
Neurons Computer Simulation Computer Systems Neural Networks, Computer Brain
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Sensitivity analysis of the mechanical properties on atherosclerotic arteries rupture risk with an artificial neural network method.

Computer methods in biomechanics and biomedical engineering Jan 25, 2024
Considering the differences between individuals, in this paper, an uncertainty analysis model for predicting rupture risk of atherosclerotic arteries is established based on a back-propagation artificial neural network. The influence of isotropy and ...
Humans Neural Networks, Computer Atherosclerosis Models, Cardiovascular Arteries Computer Simulation Biomechanical Phenomena
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AutoMolDesigner for Antibiotic Discovery: An AI-Based Open-Source Software for Automated Design of Small-Molecule Antibiotics.

Journal of chemical information and modeling Jan 24, 2024
Discovery of small-molecule antibiotics with novel chemotypes serves as one of the essential strategies to address antibiotic resistance. Although a considerable number of computational tools committed to molecular design have been reported, there is...
Computer Simulation Artificial Intelligence Software
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