AIMC Topic: Computer Simulation

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Dynamics and resiliency of networks with concurrent cascading failure and self-healing.

PloS one Nov 15, 2022
Local attacks in networked systems can often propagate and trigger cascading failures. Designing effective healing mechanisms to counter cascading failures is critical to enhance system resiliency. This work proposes a self-healing algorithm for netw...
Models, Theoretical Algorithms Neural Networks, Computer Computer Simulation
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Position-based dynamics simulator of vessel deformations for path planning in robotic endovascular catheterization.

Medical engineering & physics Nov 11, 2022
A major challenge during autonomous navigation in endovascular interventions is the complexity of operating in a deformable but constrained workspace with an instrument. Simulation of deformations for it can provide a cost-effective training platform...
Catheters Catheterization Robotic Surgical Procedures Robotics Computer Simulation
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Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.

Sensors (Basel, Switzerland) Nov 10, 2022
With the recent growth of the Internet of Things (IoT) and the demand for faster computation, quantized neural networks (QNNs) or QNN-enabled IoT can offer better performance than conventional convolution neural networks (CNNs). With the aim of reduc...
Computer Simulation Computers Databases, Factual Neural Networks, Computer
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Research on Satellite Network Traffic Prediction Based on Improved GRU Neural Network.

Sensors (Basel, Switzerland) Nov 10, 2022
The current satellite network traffic forecasting methods cannot fully exploit the long correlation between satellite traffic sequences, which leads to large network traffic forecasting errors and low forecasting accuracy. To solve these problems, we...
Forecasting Support Vector Machine Computer Simulation Neural Networks, Computer Algorithms
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Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2022
This paper addresses decentralized tracking control (DTC) problems for input constrained unknown nonlinear interconnected systems via event-triggered adaptive dynamic programming. To reconstruct the system dynamics, a neural-network-based local obser...
Nonlinear Dynamics Computer Simulation Neural Networks, Computer Policy Feedback
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Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.

BMC medical informatics and decision making Nov 9, 2022
BACKGROUND: Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 million patients globally. Nearly 40% of patients have uncontrolled seizures yet incur 80% of the cost. Anti-epileptic drugs commonly result in resistance...
Bayes Theorem Epilepsy Support Vector Machine Neurons Mutation Machine Learning Computer Simulation Algorithms Humans
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Historical evolution and new trends for soil-intruder interaction modeling.

Bioinspiration & biomimetics Nov 9, 2022
Soil is a crucial resource for life on Earth. Every activity, whether natural or man-made, that interacts with the sub or deep soil can affect the land at large scales (e.g. geological risks). Understanding such interactions can help identify more su...
Humans Robotics Soil Finite Element Analysis Computer Simulation
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Ontology-based surgical workflow recognition and prediction.

Journal of biomedical informatics Nov 8, 2022
BACKGROUND: Surgical context-aware systems can adapt to the current situation in the operating room and thus provide computer-aided assistance functionalities and intraoperative decision-support. To interact with the surgical team perceptively and as...
Operating Rooms Knowledge Bases Workflow Computer Simulation
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Evaluation of machine learning methods for covariate data imputation in pharmacometrics.

CPT: pharmacometrics & systems pharmacology Nov 8, 2022
Missing data create challenges in clinical research because they lead to loss of statistical power and potentially to biased results. Missing covariate data must be handled with suitable approaches to prepare datasets for pharmacometric analyses, suc...
Humans Machine Learning Data Interpretation, Statistical Bias Computer Simulation
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Computational simulation and target prediction studies of solubility optimization of decitabine through supercritical solvent.

Scientific reports Nov 7, 2022
Computational analysis of drug solubility was carried out using machine learning approach. The solubility of Decitabine as model drug in supercritical CO was studied as function of pressure and temperature to assess the feasibility of that for produc...
Decitabine Solvents Machine Learning Solubility Computer Simulation
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