AIMC Topic: Computer Simulation

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Sensor Topology Optimization in Dense IoT Environments by Applying Neural Network Configuration.

Sensors (Basel, Switzerland)
In dense IoT deployments of wireless sensor networks (WSNs), sensor placement, coverage, connectivity, and energy constraints determine the overall network lifetime. In large-size WSNs, it is difficult to maintain a trade-off among these conflicting ...

Integration of Virtual Reality in the Control System of an Innovative Medical Robot for Single-Incision Laparoscopic Surgery.

Sensors (Basel, Switzerland)
In recent years, there has been an expansion in the development of simulators that use virtual reality (VR) as a learning tool. In surgery where robots are used, VR serves as a revolutionary technology to help medical doctors train in using these rob...

Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots.

Sensors (Basel, Switzerland)
The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitoring. Oftentimes, this involves detecting how certain gases are spread out in the environment, commonl...

DEDTI versus IEDTI: efficient and predictive models of drug-target interactions.

Scientific reports
Drug repurposing is an active area of research that aims to decrease the cost and time of drug development. Most of those efforts are primarily concerned with the prediction of drug-target interactions. Many evaluation models, from matrix factorizati...

Estimation of separable direct and indirect effects in a continuous-time illness-death model.

Lifetime data analysis
In this article we study the effect of a baseline exposure on a terminal time-to-event outcome either directly or mediated by the illness state of a continuous-time illness-death process with baseline covariates. We propose a definition of the corres...

Exploring the use of driving simulation to improve robotic surgery simulator training: an observational case-control study.

Journal of robotic surgery
The correlation between driving skills and the ability to perform robotic surgery have not yet been discussed. Therefore, this study aimed to investigate the impact of driving skills on learning robotic surgery using a driving simulator and a robotic...

Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation.

Chemical reviews
Decades of nanotoxicology research have generated extensive and diverse data sets. However, data is not equal to information. The question is how to extract critical information buried in vast data streams. Here we show that artificial intelligence (...

Utilizing Simulation to Evaluate Robotic Skill Acquisition and Learning Decay.

Surgical laparoscopy, endoscopy & percutaneous techniques
BACKGROUND: We aim to evaluate how new robotic skills are acquired and retained by having participants train and retest using exercises on the robotic platform. We hypothesized that participants with a 3-month break from the robotic platform will hav...

Indoor Visible Light Positioning System Based on Point Classification Using Artificial Intelligence Algorithms.

Sensors (Basel, Switzerland)
In RSSI-based indoor visible light positioning systems, when only RSSI is used for trilateral positioning, the receiver height needs to be known to calculate distance. Meanwhile, the positioning accuracy is greatly affected by multi-path effect inter...

BrainS: Customized multi-core embedded multiple scale neuromorphic system.

Neural networks : the official journal of the International Neural Network Society
Research on modeling and mechanisms of the brain remains the most urgent and challenging task. The customized embedded neuromorphic system is one of the most effective approaches for multi-scale simulations ranging from ion channel to network. This p...