AIMC Topic: Computer Simulation

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Energy saving strategy of cloud data computing based on convolutional neural network and policy gradient algorithm.

PloS one
Cloud Data Computing (CDC) is conducive to precise energy-saving management of user data centers based on the real-time energy consumption monitoring of Information Technology equipment. This work aims to obtain the most suitable energy-saving strate...

A Flexible Memristor Model With Electronic Resistive Switching Memory Behavior and Its Application in Spiking Neural Network.

IEEE transactions on nanobioscience
Memristive technologies are attractive due to their non-volatility, high-density, low-power and compatibility with CMOS. For memristive devices, a model corresponding to practical behavioral characteristics is highly favorable for the realization of ...

Asynchronous Spiking Neural P Systems With Rules Working in the Rule Synchronization Mode.

IEEE transactions on nanobioscience
Asynchronous spiking neural P systems with rules on synapses (ARSSN P systems) are a class of computation models, where spiking rules are placed on synapses. In this work, we investigate the computation power of ARSSN P systems working in the rule sy...

Statistical approaches to identifying significant differences in predictive performance between machine learning and classical statistical models for survival data.

PloS one
Research that seeks to compare two predictive models requires a thorough statistical approach to draw valid inferences about comparisons between the performance of the two models. Researchers present estimates of model performance with little evidenc...

Real-time simulation of viscoelastic tissue behavior with physics-guided deep learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Finite element methods (FEM) are popular approaches for simulation of soft tissues with elastic or viscoelastic behavior. However, their usage in real-time applications, such as in virtual reality surgical training, is limited by computational cost. ...

A Systematic Analysis of 3D Deformation of Aging Breasts Based on Artificial Neural Networks.

International journal of environmental research and public health
The measurement and prediction of breast skin deformation are key research directions in health-related research areas, such as cosmetic and reconstructive surgery and sports biomechanics. However, few studies have provided a systematic analysis on t...

Navigation of Multiple Disk-Shaped Robots with Independent Goals within Obstacle-Cluttered Environments.

Sensors (Basel, Switzerland)
In this work, we propose a hybrid control scheme to address the navigation problem for a team of disk-shaped robotic platforms operating within an obstacle-cluttered planar workspace. Given an initial and a desired configuration of the system, we dev...

Multimodal Warnings Design for In-Vehicle Robots under Driving Safety Scenarios.

Sensors (Basel, Switzerland)
In case of dangerous driving, the in-vehicle robot can provide multimodal warnings to help the driver correct the wrong operation, so the impact of the warning signal itself on driving safety needs to be reduced. This study investigates the design of...

Intelligent Reflecting Surface-Assisted Physical Layer Key Generation with Deep Learning in MIMO Systems.

Sensors (Basel, Switzerland)
Physical layer secret key generation (PLKG) is a promising technology for establishing effective secret keys. Current works for PLKG mostly study key generation schemes in ideal communication environments with little or even no signal interference. I...