AIMC Topic: Computer Simulation

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Improved disturbance observer-based fixed-time adaptive neural network consensus tracking for nonlinear multi-agent systems.

Neural networks : the official journal of the International Neural Network Society
This paper is concerned with the problem of fixed-time consensus tracking for a class of nonlinear multi-agent systems subject to unknown disturbances. Firstly, a modified fixed-time disturbance observer is devised to estimate the unknown mismatched ...

Current practises and the future of robotic surgical training.

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
INTRODUCTION: This study reviews the current state of robotic surgery training for surgeons, including the various curricula, training methods, and tools available, as well as the challenges and limitations of these.

Benchmarking machine learning robustness in Covid-19 genome sequence classification.

Scientific reports
The rapid spread of the COVID-19 pandemic has resulted in an unprecedented amount of sequence data of the SARS-CoV-2 genome-millions of sequences and counting. This amount of data, while being orders of magnitude beyond the capacity of traditional ap...

Impact of educational video on performance in robotic simulation training (TAKUMI-1): a randomized controlled trial.

Journal of robotic surgery
The use of virtual reality for simulations plays an important role in the initial training for robotic surgery. This randomized controlled trial aimed to investigate the impact of educational video on the performance of robotic simulation. Participan...

Priority-based replenishment policy for robotic dispensing in central fill pharmacy systems: a simulation-based study.

Health care management science
In recent years, companies that operate pharmacy store chains have adopted centralized and automated fulfillment systems, which are called Central Fill Pharmacy Systems (CFPS). The Robotic Dispensing System (RDS) plays a crucial role by automatically...

Estimating resistance surfaces using gradient forest and allelic frequencies.

Molecular ecology resources
Understanding landscape connectivity has become a global priority for mitigating the impact of landscape fragmentation on biodiversity. Connectivity methods that use link-based methods traditionally rely on relating pairwise genetic distance between ...

How can machine learning and multiscale modeling benefit ocular drug development?

Advanced drug delivery reviews
The eyes possess sophisticated physiological structures, diverse disease targets, limited drug delivery space, distinctive barriers, and complicated biomechanical processes, requiring a more in-depth understanding of the interactions between drug del...

Prediction and Control in DNA Nanotechnology.

ACS applied bio materials
DNA nanotechnology is a rapidly developing field that uses DNA as a building material for nanoscale structures. Key to the field's development has been the ability to accurately describe the behavior of DNA nanostructures using simulations and other ...

AppraisalCloudPCT: A Computational Model of Emotions for Socially Interactive Robots for Autistic Rehabilitation.

Computational intelligence and neuroscience
Computational models of emotions can not only improve the effectiveness and efficiency of human-robot interaction but also coordinate a robot to adapt to its environment better. When designing computational models of emotions for socially interactive...

Computational design of clinical trials using a combination of simulation and the genetic algorithm.

CPT: pharmacometrics & systems pharmacology
Artificial intelligence (AI) has come to be used in various technological fields in recent years. However, there have been no reports of AI-designed clinical trials. In this study, we tried to develop study designs by a genetic algorithm (GA), which ...