Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

38
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
38
Manipulation and Analysis01:21

Manipulation and Analysis

18
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
18
Classification of Systems-I01:26

Classification of Systems-I

167
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
167
Sieve Analysis and Grading Curves01:19

Sieve Analysis and Grading Curves

292
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
292
Machines: Problem Solving II01:30

Machines: Problem Solving II

282
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
282
Machines: Problem Solving I01:22

Machines: Problem Solving I

290
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
290

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same authorSame Topic

Fuzzy topological analysis of fuzzy Helm graphs with applications to protein interaction networks.

Scientific reports·2026
Same author

Predicting properties of antifungal drug molecules using neighborhood degree topological indices.

Scientific reports·2026
Same author

An innovative fuzzy Revan index with CRITIC integration in multi-criterion decision-making.

Scientific reports·2026
Same author

Artificial intelligence investigation of magneto radiated nanofluid under mixed convection.

Discover nano·2026
Same author

One-argument Lie scaling and sensitivity analysis of UCM liquid flow over a vertical wedge using response surface method.

Scientific reports·2026
Same author

Exploring anticancer drug structures through vertex based resolving parameters.

Scientific reports·2026

Related Experiment Video

Updated: May 27, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.6K

Fuzzy and crisp computational analysis of certain graphs structures via machine learning techniques.

Zeeshan Saleem Mufti1, Hadeel AlQadi2, Ali Tabraiz3

  • 1Department of Mathematics and Statistics, The University of Lahore, Lahore Campus, Lahore, Pakistan.

Scientific Reports
|February 18, 2025
PubMed
Summary

This study integrates fuzzy graph theory and topological indices to analyze ladder and grid graphs. Knowing crisp graph topological indices accurately predicts fuzzy graph values, enhancing network analysis.

Keywords:
Fuzzy Zagreb indexFuzzy topological indexGrid graphLadder graphRandić indexTopological index

More Related Videos

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.3K
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K

Related Experiment Videos

Last Updated: May 27, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.6K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.3K
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Network Theory

Background:

  • Fuzzy graphs handle uncertainty, extending traditional graph theory for complex networks.
  • Topological indices quantify graph structure, crucial for network analysis and decision-making.

Purpose of the Study:

  • To apply fuzzy topological indices to ladder and grid graphs.
  • To explore the correlation between crisp and fuzzy graph topological indices.
  • To utilize machine learning for analyzing these graph structures.

Main Methods:

  • Analysis of ladder and grid graphs using fuzzy graph theory.
  • Calculation of traditional (e.g., Randić) and fuzzy topological indices (e.g., fuzzy Zagreb index).
  • Application of machine learning techniques and statistical analysis.

Main Results:

  • A strong correlation was found between crisp and fuzzy ladder graphs, and crisp and fuzzy grid graphs.
  • Crisp graph topological indices can accurately predict fuzzy graph topological indices.
  • Machine learning analysis offers a time-efficient and precise evaluation method.

Conclusions:

  • Fuzzy topological indices provide a robust framework for decision-making in uncertain network environments.
  • The predictive model for fuzzy topological indices based on crisp values enhances network reliability and route optimization.
  • This innovative approach integrates fuzzy graph theory, topological indices, and machine learning for advanced network evaluation.