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

Response Surface Methodology01:16

Response Surface Methodology

89
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
89

You might also read

Related Articles

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

Sort by
Same author

Reduced-intensity conditioning therapy with fludarabine, idarubicin, busulfan and cytarabine for allogeneic hematopoietic stem cell transplantation in acute myeloid leukemia and myelodysplastic syndrome.

Leukemia research·2013
Same author

Effects of 3, 5, 3'-triiodothyronine (t3) and follicle stimulating hormone on apoptosis and proliferation of rat ovarian granulosa cells.

The Chinese journal of physiology·2013
Same author

Cardiogenic shock from acute ST-segment elevation myocardial infarction induced by severe multivessel coronary vasospasm.

European heart journal·2013
Same author

[Comparative study on effects of electroacupuncture stimulation of Shenmen (HT 7) and Taiyuan (LU 9) on P 300 of event-related potentials and brain electrical activity mapping in healthy young adults].

Zhen ci yan jiu = Acupuncture research·2013
Same author

MiR-215 modulates gastric cancer cell proliferation by targeting RB1.

Cancer letters·2013
Same author

Low glucose utilization and neurodegenerative changes caused by sodium fluoride exposure in rat's developmental brain.

Neuromolecular medicine·2013
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jun 4, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K

Machine learning-based urban noise appropriateness evaluation method and driving factor analysis.

Jinlin Teng1,2, Cheng Zhang1,2, Huimin Gong1,2

  • 1College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.

Plos One
|December 23, 2024
PubMed
Summary
This summary is machine-generated.

Machine learning effectively assesses urban noise suitability, with population density being the key factor. This research aids Nanchang City

More Related Videos

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

12.3K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.4K

Related Experiment Videos

Last Updated: Jun 4, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K
Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

12.3K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.4K

Area of Science:

  • Environmental Science
  • Urban Planning
  • Geoinformatics

Background:

  • Urban noise evaluation is vital for environmental management.
  • Efficient data acquisition for noise distribution is needed.

Purpose of the Study:

  • To apply machine learning for urban noise suitability assessment.
  • To identify key factors influencing urban noise.
  • To provide data-driven support for urban planning.

Main Methods:

  • Utilized various machine learning algorithms.
  • Applied the Random Forest algorithm for optimal performance.
  • Employed SHAP (SHapley Additive exPlanations) for feature importance analysis.

Main Results:

  • Machine learning accurately models noise suitability in Nanchang City.
  • Population spatial distribution, distance to water, and road density are critical factors.
  • Identified specific areas requiring noise management, particularly along the Ganjiang River.

Conclusions:

  • Machine learning offers an objective approach to urban noise assessment.
  • Findings support targeted noise mitigation strategies.
  • Results contribute to sustainable urban development and planning.