AIMC Topic:
Computer Simulation

Clear Filters Showing 1891 to 1900 of 3855 articles

Robotic Surgical Training at Home: A Low-Fidelity Simulation Method.

Journal of surgical education
OBJECTIVE: Laparoscopic box simulators provide surgical residents a cost-effective and accessible learning tool to practice basic laparoscopic skills. Despite effective, high-fidelity simulators used in robotic surgery training, a similar low-fidelit...

Integral reinforcement learning based event-triggered control with input saturation.

Neural networks : the official journal of the International Neural Network Society
In this paper, a novel integral reinforcement learning (IRL)-based event-triggered adaptive dynamic programming scheme is developed for input-saturated continuous-time nonlinear systems. By using the IRL technique, the learning system does not requir...

Development of a Hybrid Path Planning Algorithm and a Bio-Inspired Control for an Omni-Wheel Mobile Robot.

Sensors (Basel, Switzerland)
This research presents a control structure for an omni-wheel mobile robot (OWMR). The control structure includes the path planning module and the motion control module. In order to secure the robustness and fast control performance required in the op...

In-plane gait planning for earthworm-like metameric robots using genetic algorithm.

Bioinspiration & biomimetics
Locomotion of earthworm-like metameric robots results from shape changes of deformable segments. Morphologically, the segments could stretch, contract or bend by changing their states. Periodic shape changes are recognized as gaits of the robots. Rob...

Directed jaya algorithm for delivering nano-robots to cancer area.

Computer methods in biomechanics and biomedical engineering
In the last few years, it was proposed to deliver drugs using Nano-robots for treating cancer. This paper compares between two recent and efficient algorithms for delivering Nano-robots to cancer area. These algorithms are Jaya algorithm and Directed...

Machine learning outcome regression improves doubly robust estimation of average causal effects.

Pharmacoepidemiology and drug safety
BACKGROUND: Doubly robust estimation produces an unbiased estimator for the average treatment effect unless both propensity score (PS) and outcome models are incorrectly specified. Studies have shown that the doubly robust estimator is subject to mor...

Deep learning for population size history inference: Design, comparison and combination with approximate Bayesian computation.

Molecular ecology resources
For the past decades, simulation-based likelihood-free inference methods have enabled researchers to address numerous population genetics problems. As the richness and amount of simulated and real genetic data keep increasing, the field has a strong ...

Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing.

International journal of environmental research and public health
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic has spread to 210 countries worldwide. It has had a significant impact on health systems and economic, educational and social facets of contemporary society. As the ...

Recognition of Crop Diseases Based on Depthwise Separable Convolution in Edge Computing.

Sensors (Basel, Switzerland)
The original pattern recognition and classification of crop diseases needs to collect a large amount of data in the field and send them next to a computer server through the network for recognition and classification. This method usually takes a long...

Dynamic modeling of soft continuum manipulators using lie group variational integration.

PloS one
This paper presents the derivation and experimental validation of algorithms for modeling and estimation of soft continuum manipulators using Lie group variational integration. Existing approaches are generally limited to static and quasi-static anal...