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

Classification of Systems-I01:26

Classification of Systems-I

742
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:
742
Classification of Systems-II01:31

Classification of Systems-II

651
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,
651
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

490
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
490
Plant Breeding and Biotechnology01:59

Plant Breeding and Biotechnology

17.2K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
17.2K
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

727
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
727
Genetic Variation01:25

Genetic Variation

1.7K
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
1.7K

You might also read

Related Articles

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

Sort by
Same author

A journey to ITACA: Ion Tracking with Ammonium Cations Apparatus.

The European physical journal. C, Particles and fields·2026
Same author

Barium ion sensing with IPG K<sup>+</sup> molecular probes.

The Analyst·2025
Same author

Two Immediate Hypersensitivity Reactions to Isatuximab Confirmed by the Complement Activation Test and Treated With Successful Rapid Desensitization.

Journal of investigational allergology & clinical immunology·2025
Same author

Two Nonimmediate Reactions to Oxaliplatin and Docetaxel Confirmed by Lymphocyte Transformation Test and Treated With Successful Rapid Desensitization Procedures.

Journal of investigational allergology & clinical immunology·2024
Same author

Unveiling the Immunological Mechanism Underlying a Cutaneous Adverse Reaction to Enfortumab Vedotin: A Case Report Based on the Lymphocyte Transformation Test.

Journal of investigational allergology & clinical immunology·2024
Same author

Rapid Drug Desensitization Protocol in Delayed Hypersensitivity Reactions to CFTR Modulator Drugs: When Every Day Counts.

Journal of investigational allergology & clinical immunology·2024

Related Experiment Video

Updated: May 3, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

10.2K

Hybrid model based on Genetic Algorithms and SVM applied to variable selection within fruit juice classification.

C Fernandez-Lozano1, C Canto1, M Gestal1

  • 1Information and Communications Technologies Department, Faculty of Computer Science, University of A Coruña, Campus Elviña s/n, 15071, A Coruña, Spain.

Thescientificworldjournal
|January 24, 2014
PubMed
Summary

This study introduces a hybrid Support Vector Machine (SVM) and Genetic Algorithm (GA) model for apple juice classification. The method effectively selects key variables for improved classification accuracy.

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.0K
Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry
05:29

Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry

Published on: June 9, 2021

3.5K

Related Experiment Videos

Last Updated: May 3, 2026

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

10.2K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.0K
Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry
05:29

Profiling Volatile Compounds in Blackcurrant Fruit using Headspace Solid-Phase Microextraction Coupled to Gas Chromatography-Mass Spectrometry

Published on: June 9, 2021

3.5K

Area of Science:

  • Machine Learning
  • Data Science
  • Agricultural Science

Background:

  • Neural Networks are currently used for apple juice classification.
  • A need exists for advanced machine learning methods in food quality assessment.

Purpose of the Study:

  • To implement a novel hybrid model combining Genetic Algorithms (GA) and Support Vector Machines (SVM) for apple juice classification.
  • To enhance variable selection for improved classification accuracy.

Main Methods:

  • A hybrid model integrating GA and SVM was developed.
  • SVM was utilized as the fitness function within the GA framework.
  • This approach facilitates the selection of the most representative variables for classification.

Main Results:

  • The hybrid GA-SVM model demonstrated effectiveness in identifying crucial variables for apple juice classification.
  • This method offers a new approach to feature selection in machine learning applications.

Conclusions:

  • The proposed hybrid GA-SVM model provides a robust framework for apple juice classification.
  • This study highlights the potential of combining evolutionary algorithms with SVM for optimizing classification tasks in food science.