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

What is Evolutionary History?02:35

What is Evolutionary History?

43.0K
Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
43.0K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

694
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
694
Evolutionary Psychology01:20

Evolutionary Psychology

968
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
968
Frequency of Spring-Mass System01:17

Frequency of Spring-Mass System

7.6K
One interesting characteristic of the simple harmonic motion (SHM) of an object attached to a spring is that the angular frequency, and the period and frequency of the motion, depend only on the mass and the force constant of the spring, and not on other factors such as the amplitude of the motion or initial conditions. We can use the equations of motion and Newton's second law to find the angular frequency, frequency, and period.
Consider a block on a spring on a frictionless surface. There...
7.6K
Criticisms of the Evolutionary Perspective01:23

Criticisms of the Evolutionary Perspective

348
In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
348
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.9K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.9K

You might also read

Related Articles

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

Sort by
Same author

ERS Congress 2025: highlights from the Thoracic Oncology Assembly.

ERJ open research·2026
Same author

Evaluation of landslide susceptibility of mountain highway based on RF and SVM models.

Scientific reports·2025
Same author

Revisiting the historical tritium levels in precipitation in Greece - Preliminary assessment of groundwater transit times.

Journal of environmental radioactivity·2025
Same author

Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping.

The Science of the total environment·2020
Same author

Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods.

The Science of the total environment·2019
Same author

Land subsidence phenomena investigated by spatiotemporal analysis of groundwater resources, remote sensing techniques, and random forest method: the case of Western Thessaly, Greece.

Environmental monitoring and assessment·2018
Same journal

Decoding seasonal urban heat dynamics at neighborhood-scale using explainable deep learning for climate-resilient, digital twin-ready green planning.

The Science of the total environment·2026
Same journal

The effects of microcystin-LR and its location within an environmental pool on rusty crayfish (Faxonius rusticus) behavior and physiology.

The Science of the total environment·2026
Same journal

An advanced hydrological approach for the characterization of the Water Scarcity Footprint at the sub-basin level.

The Science of the total environment·2026
Same journal

Irrigation management and groundwater recharge in Mediterranean intermontane basins: a multi-method evaluation of agricultural controls and interbasin variability.

The Science of the total environment·2026
Same journal

Environmental variables improve remote sensing-based water table monitoring in peatlands.

The Science of the total environment·2026
Same journal

Climate extremes, WASH deficits, and infectious diseases in the Brazilian Amazon: Insights from explainable machine learning (2010-2022).

The Science of the total environment·2026
See all related articles

Related Experiment Video

Updated: Jan 24, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.7K

Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods.

Wei Chen1, Paraskevas Tsangaratos2, Ioanna Ilia2

  • 1College of Geology & Environment, Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, China; Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources, Xi'an 710021, China.

The Science of the Total Environment
|June 1, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using Genetic Algorithm (GA) for feature selection to improve groundwater spring potential mapping. Optimized data mining models, particularly Random Forest, significantly enhanced prediction accuracy for water resource management.

Keywords:
ChinaGenetic algorithmGroundwater spring potential mappingNaïve BayesRandom ForestSupport Vector Machine

More Related Videos

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K
Sampling and Identification of Microplastics in Groundwater
08:27

Sampling and Identification of Microplastics in Groundwater

Published on: November 7, 2025

1.1K

Related Experiment Videos

Last Updated: Jan 24, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.7K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K
Sampling and Identification of Microplastics in Groundwater
08:27

Sampling and Identification of Microplastics in Groundwater

Published on: November 7, 2025

1.1K

Area of Science:

  • Hydrology and Water Resources
  • Geospatial Analysis
  • Artificial Intelligence in Environmental Science

Background:

  • Water scarcity is a growing global concern, making sustainable groundwater management critical.
  • Identifying groundwater spring potential is essential for effective water resource planning and mitigating scarcity.
  • Traditional methods for mapping groundwater potential can be enhanced by advanced analytical techniques.

Purpose of the Study:

  • To develop and validate a novel methodology for groundwater spring potential mapping using feature selection and data mining.
  • To compare the performance of Naïve Bayes, Support Vector Machine, and Random Forest models in predicting groundwater spring occurrence.
  • To assess the effectiveness of the Genetic Algorithm in optimizing feature selection for improved model accuracy.

Main Methods:

  • Employed Genetic Algorithm (GA) for feature selection from sixteen initial spatial variables.
  • Utilized Frequency Ratio method for variable weighting and multi-collinearity analysis.
  • Applied Naïve Bayes (NB), Support Vector Machine (SVM), and Random Forest (RF) data mining techniques for map generation.
  • Evaluated model performance using Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUROC).

Main Results:

  • The Genetic Algorithm successfully reduced the number of effective parameters to twelve, removing less significant variables.
  • Optimized data mining models demonstrated superior accuracy compared to their original counterparts.
  • The optimized Random Forest model achieved the highest predictive accuracy (0.9572), followed by optimized SVM (0.9529) and optimized NB (0.8235).

Conclusions:

  • Feature selection techniques, like GA, are crucial for enhancing the accuracy of groundwater spring potential assessments.
  • Data mining methods offer a powerful approach for generating reliable groundwater spring potential maps.
  • The findings support the integration of AI-driven feature selection and data mining for improved water resource management strategies.