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

Migration00:53

Migration

8.7K
Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
8.7K
Classification of Systems-I01:26

Classification of Systems-I

544
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:
544
Classification of Systems-II01:31

Classification of Systems-II

453
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
453
Aggregates Classification01:29

Aggregates Classification

963
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
963
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

1.3K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.3K
Observational Learning01:12

Observational Learning

817
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
817

You might also read

Related Articles

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

Sort by
Same author

Investigation of thermal conductivity for nano-improved polyethylene glycol composites.

Discover nano·2026
Same author

Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applications.

Abdominal radiology (New York)·2025
Same author

Advancing computational evaluation of adsorption via porous materials by artificial intelligence and computational fluid dynamics.

Scientific reports·2025
Same author

A blockchain secured metaverse framework for scalable and immersive telemedicine.

Scientific reports·2025
Same author

Low-dose computed tomography image denoising using pixel level non-local self-similarity prior with non-local means for healthcare informatics.

Scientific reports·2025
Same author

Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework.

Scientific reports·2025

Related Experiment Video

Updated: Jun 28, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Bio-inspired elephant herd optimization based method for building adaptive ensemble of transfer learning based

Om Prakash Suthar1, Vijay Katkar2, Krunal Vaghela1

  • 1Department of Computer Engineering, Marwadi University, Rajkot, Gujarat 360003, India.

Methodsx
|January 6, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive ensemble method using Elephant Herd Optimization (EHO) to improve image classification accuracy with limited data. The novel approach enhances classifier selection for better performance on datasets like GAIT and ODIR-5K.

More Related Videos

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Related Experiment Videos

Last Updated: Jun 28, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Machine Learning

Background:

  • Transfer learning is crucial for image classification with limited training data.
  • Existing ensemble methods can be improved for better efficiency and accuracy.

Purpose of the Study:

  • To propose a novel adaptive ensemble method for image classification using transfer learning.
  • To enhance image classification performance by optimizing classifier selection with Elephant Herd Optimization (EHO).

Main Methods:

  • Building multiple classifiers using transfer learning.
  • Combining probabilistic outputs into a single feature matrix.
  • Employing Elephant Herd Optimization (EHO) to select the most effective subset of classifiers for the ensemble.

Main Results:

  • The proposed EHO-based adaptive ensemble method significantly improves image classification accuracy.
  • The method enhances efficiency by reducing redundancy in classifier selection.
  • Experimental results on GAIT and ODIR-5K datasets demonstrate superior performance compared to classical ensemble strategies.

Conclusions:

  • The novel adaptive ensemble approach effectively leverages transfer learning and EHO for superior image classification.
  • This method offers a robust solution for scenarios with limited training data, outperforming traditional ensemble techniques.