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Related Concept Videos

Dimensional Analysis01:27

Dimensional Analysis

Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
Major Losses in Pipes01:28

Major Losses in Pipes

When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
Multiple Pipe Systems01:21

Multiple Pipe Systems

Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...

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Related Experiment Video

Updated: Jun 25, 2026

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

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Improved Dipper-Throated Optimization for Forecasting Metamaterial Design Bandwidth for Engineering Applications.

Amal H Alharbi1, Abdelaziz A Abdelhamid2,3, Abdelhameed Ibrahim4

  • 1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

Biomimetics (Basel, Switzerland)
|June 27, 2023
PubMed
Summary

This study introduces an improved ant colony optimization algorithm (DTACO) for accurately forecasting metamaterial antenna bandwidth. The DTACO algorithm demonstrates superior performance in feature selection and regression tasks compared to existing methods.

Keywords:
Al-Biruni earth radiusartificial intelligenceforecasting wind powermetaheuristic algorithm

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Area of Science:

  • Metamaterials and electromagnetic wave manipulation.
  • Advanced antenna design and performance forecasting.

Background:

  • Metamaterials possess unique properties enabling manipulation of electromagnetic waves.
  • Applications include invisibility cloaks, advanced electronics, and novel antennas.
  • Accurate bandwidth forecasting is crucial for metamaterial antenna development.

Purpose of the Study:

  • To propose an improved dipper-throated-based ant colony optimization (DTACO) algorithm.
  • To forecast the bandwidth of metamaterial antennas.
  • To evaluate the DTACO algorithm's effectiveness in feature selection and regression.

Main Methods:

  • Development of the DTACO algorithm, an enhancement of ant colony optimization.
  • Application of DTACO for feature selection and regression on metamaterial antenna datasets.
  • Comparison of DTACO against state-of-the-art algorithms: DTO, ACO, PSO, GWO, and WOA.
  • Evaluation of DTACO-based ensemble models against MLP, SVR, and RF regressors.

Main Results:

  • The DTACO algorithm showed strong feature selection capabilities.
  • The DTACO algorithm demonstrated effective regression skills for bandwidth forecasting.
  • Statistical tests (Wilcoxon rank-sum, ANOVA) confirmed the DTACO-based model's consistency and superior performance.

Conclusions:

  • The proposed DTACO algorithm is effective for metamaterial antenna bandwidth forecasting.
  • DTACO outperforms existing optimization algorithms in relevant tasks.
  • The DTACO-based ensemble model offers a robust solution for antenna design.