AIMC Topic: Computer Simulation

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Scene Classification in the Environmental Art Design by Using the Lightweight Deep Learning Model under the Background of Big Data.

Computational intelligence and neuroscience
On the basis of scene visual understanding technology, the research aims to further improve the classification efficiency and classification accuracy of art design scenes. The lightweight deep learning (DL) model based on big data is used as the main...

Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies.

Computational intelligence and neuroscience
One of the main problems of modern research concerns the optimal design of solutions to address cybersecurity problems, with methods that provide the ability to choose an objective function different from that of the classic problem of more economica...

Deep Neural Networks Applied to Stock Market Sentiment Analysis.

Sensors (Basel, Switzerland)
The volume of data is growing exponentially and becoming more valuable to organizations that collect it, from e-commerce data, shipping, audio and video logs, text messages, internet search queries, stock market activity, financial transactions, the ...

Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model.

Scientific reports
In recent years, wall-climbing robots have begun to replace manual work at heights to reduce economic losses and casualties caused by working at heights. This paper designs a negative pressure adsorption type wall-climbing robot and analyzes the inte...

Multi-fidelity surrogate modeling through hybrid machine learning for biomechanical and finite element analysis of soft tissues.

Computers in biology and medicine
Biomechanical simulation enables medical researchers to study complex mechano-biological conditions, although for soft tissue modeling, it may apply highly nonlinear multi-physics theories commonly implemented by expensive finite element (FE) solvers...

Research on the Evaluation of Reformation and Revolution System for Universities Based on Neural Network.

Computational intelligence and neuroscience
Accurately evaluating the working conditions of college revolution and reformation system personnel is currently a hot issue in the field of revolution and reformation system research. Based on the neural network architecture, this paper constructs a...

Acquisition of robotic surgical skills does not require laparoscopic training: a randomized controlled trial.

Surgical endoscopy
BACKGROUND: Robotic surgery is a valid option for minimally invasive surgery in most surgical specialties. However, the need to master laparoscopy is questionable before starting specific training in robotic surgery. We compared the development of ba...

Stochastic Stability Analysis for Stochastic Coupled Oscillator Networks with Bidirectional Cross-Dispersal.

Computational intelligence and neuroscience
It is well known that stochastic coupled oscillator network (SCON) has been widely applied; however, there are few studies on SCON with bidirectional cross-dispersal (SCONBC). This paper intends to study stochastic stability for SCONBC. A new and sui...

Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.

IEEE journal of biomedical and health informatics
Actuated by the growing attention to personal healthcare and the pandemic, the popularity of E-health is proliferating. Nowadays, enhancement on medical diagnosis via machine learning models has been highly effective in many aspects of e-health analy...

Layout Optimization of Urban Cultural Space Construction Based on Forward Three-Layer Neural Network Model.

Computational intelligence and neuroscience
The change of urban cultural space layout is a multi-variable, multi-objective, and restricted research process. The optimization of urban cultural space construction and layout is a multi-objective decision-making problem that needs to be solved urg...