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

Artificial Intelligence-Based System for Detecting Attention Levels in Students06:37

Artificial Intelligence-Based System for Detecting Attention Levels in Students

5.3K
This paper proposes an artificial intelligence-based system to automatically detect whether students are paying attention to the class or are distracted. This system is designed to help teachers maintain students' attention, optimize their lessons, and dynamically introduce modifications in order for them to be more...
5.3K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

12.2K
We present a protocol on modular design and production of intelligent robots to help scientific and technical workers design intelligent robots with special production tasks based on personal needs and individualized...
12.2K
The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

2.5K
Open searching enables the identification of glycopeptides decorated with previously unknown glycan compositions. Within this article, a streamlined approach for undertaking open searching and subsequent glycan-focused glycopeptide searches are presented for bacterial samples using Acinetobacter baumannii as a...
2.5K
Constructing and Visualizing Models using Mime-based Machine-learning Framework06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

2.3K
Mime is a flexible computational framework to construct a machine learning-based integration model with elegant performance. Here, we provide a detailed step-by-step procedure for developing predictive models with high accuracy, leveraging complex datasets to identify critical genes associated with disease progression, patient outcomes, and therapeutic response.
2.3K
Pattern-based Search of Epigenomic Data Using GeNemo06:38

Pattern-based Search of Epigenomic Data Using GeNemo

5.4K
Unlike DNA sequence data, epigenomic data are not readily subjected to text-based searches. Presented here are the procedures to use an upgraded version of GeNemo, a web-based bioinformatics tool, to conduct pattern-based searches for similarities in epigenomic data comparing available online databases including Encyclopedia of DNA Elements with user's...
5.4K
Design and Development of Aptamer–Gold Nanoparticle Based Colorimetric Assays for In-the-field Applications08:23

Design and Development of Aptamer–Gold Nanoparticle Based Colorimetric Assays for In-the-field Applications

12.7K
The design and development of an aptamer–gold nanoparticle colorimetric assay for the detection of small molecules for in-the-field applications was examined. Additionally, a smart-device colorimetric application (app) was validated and long-term storage of the assay was established for use in the...
12.7K

You might also read

Related Articles

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

Sort by
Same author

Spatial transcriptomics on an expanded dataset at the brain-electrode interface: exploration of variability and identification of novel biomarkers.

Frontiers in neuroscience·2026
Same author

Biological and Mechanical Limitations for Chronic Fast-Scan Cyclic Voltammetry Sensor Design.

Advanced materials technologies·2025
Same author

Spatial transcriptomics at the brain-electrode interface in rat motor cortex and the relationship to recording quality.

Journal of neural engineering·2024
Same author

Structural, Functional, and Genetic Changes Surrounding Electrodes Implanted in the Brain.

Accounts of chemical research·2024
Same author

Role of Flow Inertia in Aggregate Restructuring and Breakage at Finite Reynolds Numbers.

Langmuir : the ACS journal of surfaces and colloids·2023
Same author

Gene Expression Changes in Cultured Reactive Rat Astrocyte Models and Comparison to Device-Associated Effects in the Brain.

bioRxiv : the preprint server for biology·2023

Related Experiment Video

Updated: Jan 19, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Development and applications of an intelligent crow search algorithm based on opposition based learning.

Shalini Shekhawat1, Akash Saxena2

  • 1Department of Mathematics, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, 302017, India.

ISA Transactions
|September 14, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces the Intelligent Crow Search Algorithm (ICSA), an enhanced metaheuristic for complex optimization. ICSA improves upon the Crow Search Algorithm (CSA) by addressing local minima stagnation and balancing exploration and exploitation for better performance.

Keywords:
Benchmark functionsBio-inspired algorithmsCSAMetaheuristic algorithms

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.2K
The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

2.5K

Related Experiment Videos

Last Updated: Jan 19, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.2K
The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

2.5K

Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Metaheuristics

Background:

  • Metaheuristics are effective for complex optimization problems.
  • Bio-inspired algorithms mimic natural processes for optimization.
  • The Crow Search Algorithm (CSA) is a recent bio-inspired algorithm.

Purpose of the Study:

  • To enhance the Crow Search Algorithm (CSA) to overcome limitations like local minima stagnation.
  • To improve the balance between exploration and exploitation phases in CSA.
  • To introduce an improved variant named Intelligent Crow Search Algorithm (ICSA).

Main Methods:

  • Incorporated a cosine function to accelerate exploration and retard exploitation.
  • Integrated opposition-based learning to enhance CSA's exploration capabilities.
  • Benchmarked ICSA on standard test functions (23 functions) and CEC-2017 functions.

Main Results:

  • ICSA demonstrated competitive performance on benchmark functions.
  • The enhanced algorithm showed effective applicability in real-world problems.
  • ICSA outperformed contemporary optimizers in tested scenarios.

Conclusions:

  • ICSA effectively addresses the limitations of the original CSA.
  • The proposed enhancements lead to improved optimization performance.
  • ICSA is a promising metaheuristic for complex optimization tasks and real-world applications.