AIMC Topic: Computer Simulation

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Competency assessment for the Versius surgical robot: a validity investigation study of a virtual reality simulator-based test.

Surgical endoscopy
BACKGROUND: When introducing new equipment like robotic surgical systems, it is essential to ensure that surgeons have the basic skills before operating on patients. The objective was to investigate the validity evidence for a competency-based test f...

Deep neural networks with knockoff features identify nonlinear causal relations and estimate effect sizes in complex biological systems.

GigaScience
BACKGROUND: Learning the causal structure helps identify risk factors, disease mechanisms, and candidate therapeutics for complex diseases. However, although complex biological systems are characterized by nonlinear associations, existing bioinformat...

Scalability of Cyber-Physical Systems with Real and Virtual Robots in ROS 2.

Sensors (Basel, Switzerland)
Nowadays, cyber-physical systems (CPSs) are composed of more and more agents and the demand for designers to develop ever larger multi-agent systems is a fact. When the number of agents increases, several challenges related to control or communicatio...

Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management.

Sensors (Basel, Switzerland)
Inertial sensors can serve as inertial references for space missions and require charge management systems to maintain their on-orbit performance. To achieve non-contact charge management through UV discharge, effective control strategies are necessa...

Data generation for connected and automated vehicle tests using deep learning models.

Accident; analysis and prevention
For the simulation-based test and evaluation of connected and automated vehicles (CAVs), the trajectory of the background vehicle has a direct effect on the performance of CAVs and experiment outcomes. The collected real trajectory data are limited b...

MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T -induced blurring in spin echo sequences.

Magnetic resonance in medicine
PURPOSE: An end-to-end differentiable 2D Bloch simulation is used to reduce T induced blurring in single-shot turbo spin echo sequences, also called rapid imaging with refocused echoes (RARE) sequences, by using a joint optimization of refocusing fli...

Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment.

Water research
Representing reality in a numerical model is complex. Conventionally, hydraulic models of water distribution networks are a tool for replicating water supply system behaviour through simulation by means of approximation of physical equations. A calib...

A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels.

Scientific reports
Solar energy is a very efficient alternative for generating clean electric energy. However, pollution on the surface of solar panels reduces solar radiation, increases surface transmittance, and raises the surface temperature. All these factors cause...

Systematic Bronchoscopy: the Four Landmarks Approach.

Journal of visualized experiments : JoVE
Flexible bronchoscopy is a technically difficult procedure and has been identified as the most important procedure that should be integrated into a simulation-based training program for pulmonologists. However, more specific guidelines that govern br...

Robust Stabilization of Linear Time-Delay Systems under Denial-of-Service Attacks.

Sensors (Basel, Switzerland)
This research examines new methods for stabilizing linear time-delay systems that are subject to denial-of-service (DoS) attacks. The study takes into account the different effects that a DoS attack can have on the system, specifically delay-independ...